Awesome-LLM-Papers-Comprehensive-Topics

Awesome LLM Papers and repos on very comprehensive topics.

Stars: 172

Visit

README:

Awesome-LLM-Related-Papers-Comprehensive-Topics

We provide awesome papers and repos on very comprehensive topics as follows.

CoT / VLM / Quantization / Grounding / Text2IMG&VID / Prompt Engineering / Prompt Tuning / Reasoning / Robot / Agent / Planning / Reinforcement-Learning / Feedback / In-Context-Learning / Few-Shot / Zero-Shot / Instruction Tuning / PEFT / RLHF / RAG / Embodied / VQA / Hallucination / Diffusion / Scaling / Context-Window / WorldModel / Memory / Zero-Shot / RoPE / Speech / Perception / Survey / Segmentation / Learge Action Model / Foundation / RoPE / LoRA / PPO / DPO

We strongly recommend checking our Notion table for an interactive experience.

Number of papers and repos in total: 516

Category	Title	Links	Date
Zero-shot	Can Foundation Models Perform Zero-Shot Task Speci fication For Robot Manipulation?
World-model	Leveraging Pre-trained Large Language Models to Co nstruct and Utilize World Models for Model-based Task Planning	ArXiv	2023/05/07
World-model	Learning and Leveraging World Models in Visual Rep resentation Learning
World-model	Language Models Meet World Models	ArXiv
World-model	Learning to Model the World with Language	ArXiv
World-model	Diffusion World Model	ArXiv
World-model	Learning to Model the World with Language	ArXiv
VisualPrompt	Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models	ArXiv
VisualPrompt	Making Large Multimodal Models Understand Arbitrar y Visual Prompts	ArXiv
VisualPrompt	What does CLIP know about a red circle? Visual pro mpt engineering for VLMs	ArXiv
VisualPrompt	MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting	ArXiv
VisualPrompt	SoM : Set-of-Mark PromptingUnleashes Extraordinary Visual Grounding in GPT-4V	ArXiv
VisualPrompt	Set-of-Mark Prompting Unleashes Extraordinary Visu al Grounding in GPT-4V	ArXiv, GitHub
Video	MA-LMM: Memory-Augmented Large Multimodal Model fo r Long-Term Video Understanding	ArXiv
ViFM, Video	InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding	ArXiv, GitHub
VLM, World-model	Large World Model	ArXiv
VLM, VQA	CogVLM: Visual Expert for Pretrained Language Mode ls	ArXiv	2023/11/06
VLM, VQA	Chameleon: Plug-and-Play Compositional Reasoning w ith Large Language Models	ArXiv	2023/04/19
VLM, VQA	DeepSeek-VL: Towards Real-World Vision-Language Un derstanding01
VLM	PaLM: Scaling Language Modeling with Pathways	ArXiv	2022/04/05
VLM	ScreenAI: A Vision-Language Model for UI and Infog raphics Understanding
VLM	MoE-LLaVA: Mixture of Experts for Large Vision-Lan guage Models	ArXiv, GitHub
VLM	LLaVA-NeXT: Improved reasoning, OCR, and world kno wledge	GitHub
VLM	Mini-Gemini: Mining the Potential of Multi-modalit y Vision Language Models	ArXiv
Text-to-Image, World-model	World Model on Million-Length Video And Language W ith RingAttention	ArXiv
Tex2Img	Be Yourself: Bounded Attention for Multi-Subject T ext-to-Image Generation	ArXiv
Temporal	Explorative Inbetweening of Time and Space	ArXiv
Survey, Video	Video Understanding with Large Language Models: A Survey	ArXiv
Survey, VLM	MM-LLMs: Recent Advances in MultiModal Large Langu age Models
Survey, Training	Understanding LLMs: A Comprehensive Overview from Training to Inference	ArXiv
Survey, TimeSeries	Large Models for Time Series and Spatio-Temporal D ata: A Survey and Outlook
Survey	Efficient Large Language Models: A Survey	ArXiv, GitHub
Sora, Text-to-Video	Sora: A Review on Background, Technology, Limitati ons, and Opportunities of Large Vision Models
Sora, Text-to-Video	Mora: Enabling Generalist Video Generation via A M ulti-Agent Framework	ArXiv
Segmentation	LISA: Reasoning Segmentation via Large Language Mo del	ArXiv
Segmentation	GRES: Generalized Referring Expression Segmentatio n
Segmentation	Generalized Decoding for Pixel, Image, and Languag e	ArXiv
Segmentation	SEEM: Segment Everything Everywhere All at Once	ArXiv, GitHub
Segmentation	SegGPT: Segmenting Everything In Context	ArXiv
Segmentation	Grounded SAM: Assembling Open-World Models for Div erse Visual Tasks	ArXiv
Scaling	Leave No Context Behind: Efficient Infinite Contex t Transformers with Infini-attention	ArXiv
SLM, Scaling	Textbooks Are All You Need	ArXiv
Robot, Zero-shot	BC-Z: Zero-Shot Task Generalization with Robotic I mitation Learning	ArXiv
Robot, Zero-shot	Universal Manipulation Interface: In-The-Wild Robo t Teaching Without In-The-Wild Robots	ArXiv
Robot, Zero-shot	Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting	ArXiv
Robot, Task-Decompose, Zero-shot	Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents	ArXiv	2022/01/18
Robot, Task-Decompose	SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning	ArXiv	2023/07/12
Robot, TAMP	LLM3:Large Language Model-based Task and Motion Pl anning with Motion Failure Reasoning	ArXiv
Robot, TAMP	Task and Motion Planning with Large Language Model s for Object Rearrangement	ArXiv
Robot, Survey	Toward General-Purpose Robots via Foundation Model s: A Survey and Meta-Analysis	ArXiv	2023/12/14
Robot, Survey	Language-conditioned Learning for Robotic Manipula tion: A Survey	ArXiv	2023/12/17
Robot, Survey	Robot Learning in the Era of Foundation Models: A Survey	ArXiv	2023/11/24
Robot, Survey	Real-World Robot Applications of Foundation Models : A Review	ArXiv
Robot	OK-Robot: What Really Matters in Integrating Open- Knowledge Models for Robotics	ArXiv
Robot	RoCo: Dialectic Multi-Robot Collaboration with Lar ge Language Models	ArXiv
Robot	Interactive Language: Talking to Robots in Real Ti me	ArXiv
Robot	Reflexion: Language Agents with Verbal Reinforceme nt Learning	ArXiv	2023/03/20
Robot	Generative Expressive Robot Behaviors using Large Language Models	ArXiv
Robot	RoboCat: A Self-Improving Generalist Agent for Rob otic Manipulation
Robot	Introspective Tips: Large Language Model for In-Co ntext Decision Making	ArXiv
Robot	PIVOT: Iterative Visual Prompting Elicits Actionab le Knowledge for VLMs	ArXiv
Robot	OCI-Robotics: Object-Centric Instruction Augmentat ion for Robotic Manipulation	ArXiv
Robot	DeliGrasp: Inferring Object Mass, Friction, and Co mpliance with LLMs for Adaptive and Minimally Deforming Grasp Policies	ArXiv
Robot	VoxPoser: Composable 3D Value Maps for Robotic Man ipulation with Language Models	ArXiv
Robot	Creative Robot Tool Use with Large Language Models	ArXiv
Robot	AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers	ArXiv
RoPE	RoFormer: Enhanced Transformer with Rotary Positio n Embedding	ArXiv
Resource	[Resource] Paperswithcode	ArXiv
Resource	[Resource] huggingface	ArXiv
Resource	[Resource] dailyarxiv	ArXiv
Resource	[Resource] Connectedpapers	ArXiv
Resource	[Resource] Semanticscholar	ArXiv
Resource	[Resource] AlphaSignal	ArXiv
Resource	[Resource] arxiv-sanity	ArXiv
Reinforcement-Learning, VIMA	FoMo Rewards: Can we cast foundation models as rew ard functions?	ArXiv
Reinforcement-Learning, Robot	Towards A Unified Agent with Foundation Models	ArXiv
Reinforcement-Learning	Large Language Models Are Semi-Parametric Reinforc ement Learning Agents	ArXiv
Reinforcement-Learning	RLang: A Declarative Language for Describing Parti al World Knowledge to Reinforcement Learning Agents	ArXiv
Reasoning, Zero-shot	Large Language Models are Zero-Shot Reasoners	ArXiv
Reasoning, VLM, VQA	MM-REACT: Prompting ChatGPT for Multimodal Reasoni ng and Action	ArXiv	2023/03/20
Reasoning, Table	Large Language Models are few(1)-shot Table Reason ers	ArXiv
Reasoning, Symbolic	Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning	ArXiv
Reasoning, Survey	Reasoning with Language Model Prompting: A Survey	ArXiv
Reasoning, Robot	AlphaBlock: Embodied Finetuning for Vision-Languag e Reasoning in Robot Manipulation	ArXiv
Reasoning, Reward	LET’S REWARD STEP BY STEP: STEP-LEVEL REWARD MODEL AS THE NAVIGATORS FOR REASONING	ArXiv
Reasoning, Reinforcement-Learning	ReFT: Reasoning with Reinforced Fine-Tuning
Reasoning	Selection-Inference: Exploiting Large Language Mod els for Interpretable Logical Reasoning	ArXiv
Reasoning	ReConcile: Round-Table Conference Improves Reasoni ng via Consensus among Diverse LLMs.	ArXiv
Reasoning	Self-Discover: Large Language Models Self-Compose Reasoning Structures	ArXiv
Reasoning	Chain-of-Thought Reasoning Without Prompting	ArXiv
Reasoning	Contrastive Chain-of-Thought Prompting	ArXiv
Reasoning	Rephrase and Respond(RaR)
Reasoning	Take a Step Back: Evoking Reasoning via Abstractio n in Large Language Models	ArXiv
Reasoning	STaR: Bootstrapping Reasoning With Reasoning	ArXiv	2022/05/28
Reasoning	The Impact of Reasoning Step Length on Large Langu age Models	ArXiv
Reasoning	Beyond Natural Language: LLMs Leveraging Alternati ve Formats for Enhanced Reasoning and Communication	ArXiv
Reasoning	Large Language Models as General Pattern Machines	ArXiv
RLHF, Reinforcement-Learning, Survey	A Survey of Reinforcement Learning from Human Feed back
RLHF	Secrets of RLHF in Large Language Models Part II: Reward Modeling	ArXiv
RAG, Temporal Logics	FreshLLMs: Refreshing Large Language Models with S earch Engine Augmentation	ArXiv
RAG, Survey	Large Language Models for Information Retrieval: A Survey
RAG, Survey	Retrieval-Augmented Generation for Large Language
RAG, Survey	Retrieval-Augmented Generation for Large Language Models: A Survey	ArXiv
RAG	Training Language Models with Memory Augmentation
RAG	Self-RAG: Learning to Retrieve, Generate, and Crit ique through Self-Reflection
RAG	RAG-Fusion: a New Take on Retrieval-Augmented Gene ration	ArXiv
RAG	RAFT: Adapting Language Model to Domain Specific R AG	ArXiv
RAG	Adaptive-RAG: Learning to Adapt Retrieval-Augmente d Large Language Models through Question Complexity	ArXiv
RAG	RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Ca se Study on Agriculture	ArXiv
RAG	Fine-Tuning or Retrieval? Comparing Knowledge Inje ction in LLMs	ArXiv
Quantization, Scaling	SliceGPT: Compress Large Language Models by Deleti ng Rows and Columns	ArXiv
Prompting, Survey	A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications	ArXiv
Prompting, Robot, Zero-shot	Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning	ArXiv
Prompting	Contrastive Chain-of-Thought Prompting	ArXiv
PersonalCitation, Robot	Text2Motion: From Natural Language Instructions to Feasible Plans	ArXiv
Perception, Video, Vision	CLIP4Clip: An Empirical Study of CLIP for End to E nd Video Clip Retrieval	ArXiv
Perception, Task-Decompose	DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment	ArXiv	2023/07/01
Perception, Robot, Segmentation	Language Segment-Anything
Perception, Robot	LiDAR-LLM: Exploring the Potential of Large Langua ge Models for 3D LiDAR Understanding	ArXiv	2023/12/21
Perception, Reasoning, Robot	Reasoning Grasping via Multimodal Large Language M odel	ArXiv
Perception, Reasoning	DetGPT: Detect What You Need via Reasoning	ArXiv
Perception, Reasoning	Lenna: Language Enhanced Reasoning Detection Assis tant	ArXiv
Perception	Simple Open-Vocabulary Object Detection with Visio n Transformers	ArXiv	2022/05/12
Perception	Grounded Language-Image Pre-training	ArXiv	2021/12/07
Perception	Grounding DINO: Marrying DINO with Grounded Pre-Tr aining for Open-Set Object Detection	ArXiv	2023/03/09
Perception	PointCLIP: Point Cloud Understanding by CLIP	ArXiv	2021/12/04
Perception	DINO: DETR with Improved DeNoising Anchor Boxes fo r End-to-End Object Detection	ArXiv
Perception	Recognize Anything: A Strong Image Tagging Model	ArXiv
Perception	Simple Open-Vocabulary Object Detection with Visio n Transformers	ArXiv
Perception	Sigmoid Loss for Language Image Pre-Training	ArXiv
Package	LlamaIndex	GitHub
Package	LangChain	GitHub
Package	h2oGPT	GitHub
Package	Dify	GitHub
Package	Alpaca-LoRA	GitHub
Package	Promptlayer	GitHub
Package	unsloth	GitHub
Package	Instructor: Structured LLM Outputs	GitHub
PRM	Let's Verify Step by Step	ArXiv
PRM	Let's reward step by step: Step-Level reward model as the Navigators for Reasoning	ArXiv
PPO, RLHF, Reinforcement-Learning	Secrets of RLHF in Large Language Models Part I: P PO	ArXiv	2024/02/01
Open-source, VLM	OpenFlamingo: An Open-Source Framework for Trainin g Large Autoregressive Vision-Language Models	ArXiv	2023/08/02
Open-source, SLM	RecurrentGemma: Moving Past Transformers for Effic ient Open Language Models	ArXiv
Open-source, Perception	Grounding DINO: Marrying DINO with Grounded Pre-Tr aining for Open-Set Object Detection	ArXiv
Open-source	Gemma: Introducing new state-of-the-art open model s	ArXiv
Open-source	Mistral 7B	ArXiv
Open-source	Qwen Technical Report	ArXiv
Navigation, Reasoning, Vision	NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models	ArXiv
Natural-Language-as-Polices, Robot	RT-H: Action Hierarchies Using Language	ArXiv
Multimodal, Robot, VLM	Open-World Object Manipulation using Pre-trained V ision-Language Models	ArXiv	2023/03/02
Multimodal, Robot	MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation	ArXiv	2023/08/07
Multimodal, Robot	Flamingo: a Visual Language Model for Few-Shot Lea rning	ArXiv	2022/04/29
Multi-Images, VLM	Mantis: Multi-Image Instruction Tuning	ArXiv, GitHub
MoE	Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity	ArXiv
MoE	Sparse MoE as the New Dropout: Scaling Dense and S elf-Slimmable Transformers	ArXiv
Mixtral, MoE	Mixtral of Experts	ArXiv
Memory, Robot	LLM as A Robotic Brain: Unifying Egocentric Memory and Control	ArXiv	2023/04/19
Memory, Reinforcement-Learning	Semantic HELM: A Human-Readable Memory for Reinfor cement Learning
Math, Reasoning	DeepSeekMath: Pushing the Limits of Mathematical R easoning in Open Language Models	ArXiv, GitHub
Math, PRM	Math-Shepherd: Verify and Reinforce LLMs Step-by-s tep without Human Annotations	ArXiv
Math	WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct	ArXiv
Math	Llemma: An Open Language Model For Mathematics	ArXiv
Low-level-action, Robot	SayTap: Language to Quadrupedal Locomotion	ArXiv	2023/06/13
Low-level-action, Robot	Prompt a Robot to Walk with Large Language Models	ArXiv	2023/09/18
LoRA, Scaling	LoRA: Low-Rank Adaptation of Large Language Models	ArXiv
LoRA, Scaling	Vera: A General-Purpose Plausibility Estimation Mo del for Commonsense Statements	ArXiv
LoRA	LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report	ArXiv
Lab	Tencent AI Lab - AppAgent, WebVoyager
Lab	DeepWisdom - MetaGPT
Lab	Reworkd AI - AgentGPT
Lab	OpenBMB - ChatDev, XAgent, AgentVerse
Lab	XLANG NLP Lab - OpenAgents
Lab	Rutgers University, AGI Research - OpenAGI
Lab	Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University - CogVLM
Lab	OpenGVLab	GitHub
Lab	Imperial College London - Zeroshot trajectory
Lab	sensetime
Lab	tsinghua
Lab	Fudan NLP Group
Lab	Penn State University
LLaVA, VLM	TinyLLaVA: A Framework of Small-scale Large Multim odal Models	ArXiv
LLaVA, MoE, VLM	MoE-LLaVA: Mixture of Experts for Large Vision-Lan guage Models
LLaMA, Lightweight, Open-source	MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
LLM, Zero-shot	GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Re cognition?	ArXiv	2023/11/27
LLM, Temporal Logics	NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models	ArXiv	2023/05/12
LLM, Survey	A Survey of Large Language Models	ArXiv	2023/03/31
LLM, Spacial	Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning	ArXiv	2023/10/05
LLM, Scaling	BitNet: Scaling 1-bit Transformers for Large Langu age Models	ArXiv
LLM, Robot, Task-Decompose	Do As I Can, Not As I Say: Grounding Language in R obotic Affordances	ArXiv	2022/04/04
LLM, Robot, Survey	Large Language Models for Robotics: A Survey	ArXiv
LLM, Reasoning, Survey	Towards Reasoning in Large Language Models: A Surv ey	ArXiv	2022/12/20
LLM, Quantization	The Era of 1-bit LLMs: All Large Language Models a re in 1.58 Bits	ArXiv
LLM, PersonalCitation, Robot, Zero-shot	Language Models as Zero-Shot Trajectory Generators	ArXiv
LLM, PersonalCitation, Robot	Tree-Planner: Efficient Close-loop Task Planning w ith Large Language Models01
LLM, Open-source	A self-hosted, offline, ChatGPT-like chatbot, powe red by Llama 2. 100% private, with no data leaving your device.	GitHub
LLM, Open-source	OpenFlamingo: An Open-Source Framework for Trainin g Large Autoregressive Vision-Language Models	ArXiv	2023/08/02
LLM, Open-source	InstructBLIP: Towards General-purpose Vision-Langu age Models with Instruction Tuning	ArXiv	2023/05/11
LLM, Open-source	ChatBridge: Bridging Modalities with Large Languag e Model as a Language Catalyst	ArXiv	2023/05/25
LLM, Memory	MemoryBank: Enhancing Large Language Models with L ong-Term Memory	ArXiv	2023/05/17
LLM, Leaderboard	LMSYS Chatbot Arena Leaderboard
LLM	Language Models are Few-Shot Learners	ArXiv	2020/05/28
Intaractive, OpenGVLab, VLM	InternGPT: Solving Vision-Centric Tasks by Interac ting with ChatGPT Beyond Language	ArXiv	2023/05/09
Instruction-Turning, Survey	Is Prompt All You Need? No. A Comprehensive and Br oader View of Instruction Learning
Instruction-Turning, Survey	Vision-Language Instruction Tuning: A Review and A nalysis	ArXiv
Instruction-Turning, Survey	A Closer Look at the Limitations of Instruction Tu ning	ArXiv
Instruction-Turning, Survey	A Survey on Data Selection for LLM Instruction Tun ing	ArXiv
Instruction-Turning, Self	Self-Instruct: Aligning Language Models with Self- Generated Instructions	ArXiv
Instruction-Turning, LLM, Zero-shot	Finetuned Language Models Are Zero-Shot Learners	ArXiv	2021/09/03
Instruction-Turning, LLM, Survey	Instruction Tuning for Large Language Models: A Su rvey
Instruction-Turning, LLM, PEFT	Visual Instruction Tuning	ArXiv	2023/04/17
Instruction-Turning, LLM, PEFT	LLaMA-Adapter: Efficient Fine-tuning of Language M odels with Zero-init Attention	ArXiv	2023/03/28
Instruction-Turning, LLM	Training language models to follow instructions wi th human feedback	ArXiv	2022/03/04
Instruction-Turning, LLM	MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models	ArXiv	2023/04/20
Instruction-Turning, LLM	Self-Instruct: Aligning Language Models with Self- Generated Instructions	ArXiv	2022/12/20
Instruction-Turning	A Closer Look at the Limitations of Instruction Tu ning
Instruction-Turning	Exploring Format Consistency for Instruction Tunin g
Instruction-Turning	Exploring the Benefits of Training Expert Language Models over Instruction Tuning	ArXiv	2023/02/06
Instruction-Turning	Tuna: Instruction Tuning using Feedback from Large Language Models	ArXiv	2023/03/06
In-Context-Learning, Vision	What Makes Good Examples for Visual In-Context Lea rning?
In-Context-Learning, Vision	Visual Prompting via Image Inpainting	ArXiv
In-Context-Learning, Video	Prompting Visual-Language Models for Efficient Vid eo Understanding
In-Context-Learning, VQA	VisualCOMET: Reasoning about the Dynamic Context o f a Still Image	ArXiv	2020/04/22
In-Context-Learning, VQA	SINC: Self-Supervised In-Context Learning for Visi on-Language Tasks	ArXiv	2023/07/15
In-Context-Learning, Survey	A Survey on In-context Learning	ArXiv
In-Context-Learning, Scaling	Structured Prompting: Scaling In-Context Learning to 1,000 Examples	ArXiv	2020/03/06
In-Context-Learning, Scaling	Rethinking the Role of Scale for In-Context Learni ng: An Interpretability-based Case Study at 66 Billion Scale	ArXiv	2022/03/06
In-Context-Learning, Reinforcement-Learning	AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents	ArXiv
In-Context-Learning, Prompt-Tuning	Visual Prompt Tuning	ArXiv
In-Context-Learning, Perception, Vision	Visual In-Context Prompting	ArXiv
In-Context-Learning, Many-Shot, Reasoning	Many-Shot In-Context Learning	ArXiv
In-Context-Learning, Instruction-Turning	In-Context Instruction Learning
In-Context-Learning	ReAct: Synergizing Reasoning and Acting in Languag e Models	ArXiv	2023/03/20
In-Context-Learning	Small Models are Valuable Plug-ins for Large Langu age Models	ArXiv	2023/05/15
In-Context-Learning	Generative Agents: Interactive Simulacra of Human Behavior	ArXiv	2023/04/07
In-Context-Learning	Beyond the Imitation Game: Quantifying and extrapo lating the capabilities of language models	ArXiv	2022/06/09
In-Context-Learning	What does CLIP know about a red circle? Visual pro mpt engineering for VLMs	ArXiv
In-Context-Learning	Can large language models explore in-context?	ArXiv
Image, LLaMA, Perception	LLaMA-VID: An Image is Worth 2 Tokens in Large Lan guage Models	ArXiv
Hallucination, Survey	Combating Misinformation in the Age of LLMs: Oppor tunities and Challenges	ArXiv
Gym, PPO, Reinforcement-Learning, Survey	Can Language Agents Approach the Performance of RL ? An Empirical Study On OpenAI Gym	ArXiv
Grounding, Reinforcement-Learning	Grounding Large Language Models in Interactive Env ironments with Online Reinforcement Learning	ArXiv
Grounding, Reasoning	Visually Grounded Reasoning across Languages and C ultures	ArXiv
Grounding	V-IRL: Grounding Virtual Intelligence in Real Life
Google, Grounding	GLaMM: Pixel Grounding Large Multimodal Model	ArXiv
Generation, Survey	Advances in 3D Generation: A Survey
Generation, Robot, Zero-shot	Zero-Shot Robotic Manipulation with Pretrained Ima ge-Editing Diffusion Models	ArXiv
Generation, Robot, Zero-shot	Towards Generalizable Zero-Shot Manipulationvia Tr anslating Human Interaction Plans
GPT4V, Robot, VLM	Closed-Loop Open-Vocabulary Mobile Manipulation wi th GPT-4V	ArXiv
GPT4, LLM	GPT-4 Technical Report	ArXiv	2023/03/15
GPT4, Instruction-Turning	INSTRUCTION TUNING WITH GPT-4	ArXiv
GPT4, Gemini, LLM	Gemini vs GPT-4V: A Preliminary Comparison and Com bination of Vision-Language Models Through Qualitative Cases	ArXiv	2023/12/22
Foundation, Robot, Survey	Foundation Models in Robotics: Applications, Chall enges, and the Future	ArXiv	2023/12/13
Foundation, LLaMA, Vision	VisionLLaMA: A Unified LLaMA Interface for Vision Tasks	ArXiv
Foundation, LLM, Open-source	Code Llama: Open Foundation Models for Code	ArXiv
Foundation, LLM, Open-source	LLaMA: Open and Efficient Foundation Language Mode ls	ArXiv	2023/02/27
Feedback, Robot	Correcting Robot Plans with Natural Language Feedb ack	ArXiv
Feedback, Robot	Learning to Learn Faster from Human Feedback with Language Model Predictive Control	ArXiv
Feedback, Robot	REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction	ArXiv	2023/06/27
Feedback, In-Context-Learning, Robot	InCoRo: In-Context Learning for Robotics Control w ith Feedback Loops	ArXiv
Evaluation, LLM, Survey	A Survey on Evaluation of Large Language Models	ArXiv
Evaluation	simple-evals	GitHub
End2End, Multimodal, Robot	VIMA: General Robot Manipulation with Multimodal P rompts	ArXiv	2022/10/06
End2End, Multimodal, Robot	PaLM-E: An Embodied Multimodal Language Model	ArXiv	2023/03/06
End2End, Multimodal, Robot	Physically Grounded Vision-Language Models for Rob otic Manipulation	ArXiv	2023/09/05
Enbodied	Embodied Question Answering	ArXiv
Embodied, World-model	Language Models Meet World Models: Embodied Experi ences Enhance Language Models
Embodied, Robot, Task-Decompose	Embodied Task Planning with Large Language Models	ArXiv	2023/07/04
Embodied, Robot	Large Language Models as Generalizable Policies fo r Embodied Tasks	ArXiv
Embodied, Reasoning, Robot	Natural Language as Policies: Reasoning for Coordi nate-Level Embodied Control with LLMs	ArXiv, GitHub	2024/03/20
Embodied, LLM, Robot, Survey	The Development of LLMs for Embodied Navigation	ArXiv	2023/11/01
Driving, Spacial	GPT-Driver: Learning to Drive with GPT	ArXiv	2023/10/02
Drive, Survey	A Survey on Multimodal Large Language Models for A utonomous Driving	ArXiv
Distilling, Survey	A Survey on Knowledge Distillation of Large Langua ge Models
Distilling	Distilling Step-by-Step! Outperforming Larger Lang uage Models with Less Training Data and Smaller Model Sizes01	ArXiv
Diffusion, Text-to-Image	Mastering Text-to-Image Diffusion: Recaptioning, P lanning, and Generating with Multimodal LLMs	ArXiv
Diffusion, Survey	On the Design Fundamentals of Diffusion Models: A Survey	ArXiv
Diffusion, Robot	3D Diffusion Policy	ArXiv
Diffusion	A latent text-to-image diffusion model
Demonstration, GPT4, PersonalCitation, Robot, VLM	GPT-4V(ision) for Robotics: Multimodal Task Planni ng from Human Demonstration
Datatset, LLM, Survey	A Survey on Data Selection for Language Models	ArXiv
Datatset, Instruction-Turning	REVO-LION: EVALUATING AND REFINING VISION LANGUAGE INSTRUCTION TUNING DATASETS
Datatset, Instruction-Turning	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Datatset	PRM800K: A Process Supervision Dataset	GitHub
Data-generation, Robot	GenSim: Generating Robotic Simulation Tasks via La rge Language Models	ArXiv	2023/10/02
Data-generation, Robot	RoboGen: Towards Unleashing Infinite Data for Auto mated Robot Learning via Generative Simulation	ArXiv	2023/11/02
DPO, PPO, RLHF	A Comprehensive Survey of LLM Alignment Techniques : RLHF, RLAIF, PPO, DPO and More	ArXiv
DPO	Is DPO Superior to PPO for LLM Alignment? A Compre hensive Study	ArXiv
Context-Window, Scaling	Infini-gram: Scaling Unbounded n-gram Language Mod els to a Trillion Tokens
Context-Window, Scaling	LONGNET: Scaling Transformers to 1,000,000,000 Tok ens	ArXiv	2023/07/01
Context-Window, Reasoning, RoPE, Scaling	Resonance RoPE: Improving Context Length Generaliz ation of Large Language Models	ArXiv
Context-Window, LLM, RoPE, Scaling	LongRoPE: Extending LLM Context Window Beyond 2 Mi llion Tokens	ArXiv
Context-Window, Foundation, Gemini, LLM, Scaling	Gemini 1.5: Unlocking multimodal understanding acr oss millions of tokens of context
Context-Window, Foundation	Mamba: Linear-Time Sequence Modeling with Selectiv e State Spaces	ArXiv
Context-Window	RoFormer: Enhanced Transformer with Rotary Positio n Embedding	ArXiv
Context-Awere, Context-Window	DynaCon: Dynamic Robot Planner with Contextual Awa reness via LLMs	ArXiv
Computer-Resource, Scaling	FlashAttention: Fast and Memory-Efficient Exact At tention with IO-Awareness	ArXiv
Compress, Scaling	(Long)LLMLingua: Enhancing Large Language Model In ference via Prompt Compression	ArXiv
Compress, Quantization, Survey	A Survey on Model Compression for Large Language M odels	ArXiv
Compress, Prompting	Learning to Compress Prompts with Gist Tokens	ArXiv
Code-as-Policies, VLM, VQA	Visual Programming: Compositional visual reasoning without training	ArXiv	2022/11/18
Code-as-Policies, Robot	SMART-LLM: Smart Multi-Agent Robot Task Planning u sing Large Language Models	ArXiv	2023/09/18
Code-as-Policies, Robot	RoboScript: Code Generation for Free-Form Manipula tion Tasks across Real and Simulation	ArXiv
Code-as-Policies, Robot	Creative Robot Tool Use with Large Language Models	ArXiv
Code-as-Policies, Reinforcement-Learning, Reward	Code as Reward: Empowering Reinforcement Learning with VLMs	ArXiv
Code-as-Policies, Reasoning, VLM, VQA	ViperGPT: Visual Inference via Python Execution fo r Reasoning	ArXiv	2023/03/14
Code-as-Policies, Reasoning	Chain of Code: Reasoning with a Language Model-Aug mented Code Emulator	ArXiv
Code-as-Policies, PersonalCitation, Robot, Zero-shot	Socratic Models: Composing Zero-Shot Multimodal Re asoning with Language	ArXiv	2022/04/01
Code-as-Policies, PersonalCitation, Robot, State-Manage	Statler: State-Maintaining Language Models for Emb odied Reasoning	ArXiv	2023/06/30
Code-as-Policies, PersonalCitation, Robot	ProgPrompt: Generating Situated Robot Task Plans u sing Large Language Models	ArXiv	2022/09/22
Code-as-Policies, PersonalCitation, Robot	RoboCodeX:Multi-modal Code Generation forRobotic B ehavior Synthesis	ArXiv
Code-as-Policies, PersonalCitation, Robot	RoboGPT: an intelligent agent of making embodied l ong-term decisions for daily instruction tasks
Code-as-Policies, PersonalCitation, Robot	ChatGPT for Robotics: Design Principles and Model Abilities
Code-as-Policies, Multimodal, OpenGVLab, PersonalCitation, Robot	Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model	ArXiv	2023/05/18
Code-as-Policies, Embodied, PersonalCitation, Robot	Code as Policies: Language Model Programs for Embo died Control	ArXiv	2022/09/16
Code-as-Policies, Embodied, PersonalCitation, Reasoning, Robot, Task-Decompose	Inner Monologue: Embodied Reasoning through Planni ng with Language Models	ArXiv
Code-LLM, Front-End	Design2Code: How Far Are We From Automating Front- End Engineering?	ArXiv
Code-LLM	StarCoder 2 and The Stack v2: The Next Generation
Chain-of-Thought, Reasoning, Table	Chain-of-table: Evolving tables in the reasoning c hain for table understanding	ArXiv
Chain-of-Thought, Reasoning, Survey	Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters	ArXiv	2023/12/20
Chain-of-Thought, Reasoning, Survey	A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future	ArXiv	2023/09/27
Chain-of-Thought, Reasoning	Chain-of-Thought Prompting Elicits Reasoning in La rge Language Models	ArXiv	2022/01/28
Chain-of-Thought, Reasoning	Tree of Thoughts: Deliberate Problem Solving with Large Language Models	ArXiv	2023/05/17
Chain-of-Thought, Reasoning	Multimodal Chain-of-Thought Reasoning in Language Models	ArXiv	2023/02/02
Chain-of-Thought, Reasoning	Verify-and-Edit: A Knowledge-Enhanced Chain-of-Tho ught Framework	ArXiv	2023/05/05
Chain-of-Thought, Reasoning	Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding	ArXiv	2023/07/28
Chain-of-Thought, Reasoning	Rethinking with Retrieval: Faithful Large Language Model Inference	ArXiv	2022/12/31
Chain-of-Thought, Reasoning	Self-Consistency Improves Chain of Thought Reasoni ng in Language Models	ArXiv	2022/03/21
Chain-of-Thought, Reasoning	Chain-of-Thought Hub: A Continuous Effort to Measu re Large Language Models' Reasoning Performance	ArXiv	2023/05/26
Chain-of-Thought, Reasoning	Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation	ArXiv
Chain-of-Thought, Prompting	Chain-of-Thought Reasoning Without Prompting	ArXiv
Chain-of-Thought, Planning, Reasoning	SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning	ArXiv	2023/08/01
Chain-of-Thought, In-Context-Learning, Self	Measuring and Narrowing the Compositionality Gap i n Language Models	ArXiv	2022/10/07
Chain-of-Thought, In-Context-Learning, Self	Self-Polish: Enhance Reasoning in Large Language M odels via Problem Refinement	ArXiv	2023/05/23
Chain-of-Thought, In-Context-Learning	Chain-of-Table: Evolving Tables in the Reasoning C hain for Table Understanding	ArXiv
Chain-of-Thought, In-Context-Learning	Self-Refine: Iterative Refinement with Self-Feedba ck	ArXiv	2023/03/30
Chain-of-Thought, In-Context-Learning	Plan-and-Solve Prompting: Improving Zero-Shot Chai n-of-Thought Reasoning by Large Language Models	ArXiv	2023/05/06
Chain-of-Thought, In-Context-Learning	PAL: Program-aided Language Models	ArXiv	2022/11/18
Chain-of-Thought, In-Context-Learning	Reasoning with Language Model is Planning with Wor ld Model	ArXiv	2023/05/24
Chain-of-Thought, In-Context-Learning	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models	ArXiv	2022/05/21
Chain-of-Thought, In-Context-Learning	Complexity-Based Prompting for Multi-Step Reasonin g	ArXiv	2022/10/03
Chain-of-Thought, In-Context-Learning	Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations	ArXiv	2022/05/24
Chain-of-Thought, In-Context-Learning	Algorithm of Thoughts: Enhancing Exploration of Id eas in Large Language Models	ArXiv	2023/08/20
Chain-of-Thought, GPT4, Reasoning, Robot	Look Before You Leap: Unveiling the Power ofGPT-4V in Robotic Vision-Language Planning	ArXiv	2023/11/29
Chain-of-Thought, Embodied, Robot	EgoCOT: Embodied Chain-of-Thought Dataset for Visi on Language Pre-training	ArXiv
Chain-of-Thought, Embodied, PersonalCitation, Robot, Task-Decompose	EmbodiedGPT: Vision-Language Pre-Training via Embo died Chain of Thought	ArXiv	2023/05/24
Chain-of-Thought, Code-as-Policies, PersonalCitation, Robot	Demo2Code: From Summarizing Demonstrations to Synt hesizing Code via Extended Chain-of-Thought	ArXiv
Chain-of-Thought, Code-as-Policies	Chain of Code: Reasoning with a Language Model-Aug mented Code Emulator	ArXiv
Caption, Video	PLLaVA : Parameter-free LLaVA Extension from Image s to Videos for Video Dense Captioning	ArXiv
Caption, VLM, VQA	Caption Anything: Interactive Image Description wi th Diverse Multimodal Controls	ArXiv	2023/05/04
CRAG, RAG	Corrective Retrieval Augmented Generation	ArXiv
Brain, Instruction-Turning	Instruction-tuning Aligns LLMs to the Human Brain	ArXiv
Brain, Conscious	Could a Large Language Model be Conscious?
Brain	LLM-BRAIn: AI-driven Fast Generation of Robot Beha viour Tree based on Large Language Model	ArXiv
Brain	A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization
Benchmark, Sora, Text-to-Video	LIDA: A Tool for Automatic Generation of Grammar-A gnostic Visualizations and Infographics using Large Language Models01
Benchmark, In-Context-Learning	ARB: Advanced Reasoning Benchmark for Large Langua ge Models	ArXiv	2023/07/25
Benchmark, In-Context-Learning	PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change	ArXiv	2022/06/21
Benchmark, GPT4	Sparks of Artificial General Intelligence: Early e xperiments with GPT-4
Awesome Repo, VLM	awesome-vlm-architectures	GitHub
Awesome Repo, Survey	LLMSurvey	GitHub
Awesome Repo, Robot	Awesome-LLM-Robotics	GitHub
Awesome Repo, Reasoning	Awesome LLM Reasoning	GitHub
Awesome Repo, Reasoning	Awesome-Reasoning-Foundation-Models	GitHub
Awesome Repo, RLHF, Reinforcement-Learning	Awesome RLHF (RL with Human Feedback)	GitHub
Awesome Repo, Perception, VLM	Awesome Vision-Language Navigation	GitHub
Awesome Repo, Package	Awesome LLMOps	GitHub
Awesome Repo, Multimodal	Awesome-Multimodal-LLM	GitHub
Awesome Repo, Multimodal	Awesome-Multimodal-Large-Language-Models	GitHub
Awesome Repo, Math, Science	Awesome Scientific Language Models	GitHub
Awesome Repo, LLM, Vision	LLM-in-Vision	GitHub
Awesome Repo, LLM, VLM	Multimodal & Large Language Models	GitHub
Awesome Repo, LLM, Survey	Awesome-LLM-Survey	GitHub
Awesome Repo, LLM, Robot	Everything-LLMs-And-Robotics	GitHub
Awesome Repo, LLM, Leaderboard	LLM-Leaderboard	GitHub
Awesome Repo, LLM	Awesome-LLM	GitHub
Awesome Repo, Korean	awesome-korean-llm	GitHub
Awesome Repo, Japanese, LLM	日本語LLMまとめ	GitHub
Awesome Repo, In-Context-Learning	Paper List for In-context Learning	GitHub
Awesome Repo, IROS, Robot	IROS2023PaperList	GitHub
Awesome Repo, Hallucination, Survey	A Survey on Hallucination in Large Language Models : Principles, Taxonomy, Challenges, and Open Questions	ArXiv, GitHub
Awesome Repo, Embodied	Awesome Embodied Vision	GitHub
Awesome Repo, Diffusion	Awesome-Diffusion-Models	GitHub
Awesome Repo, Compress	Awesome LLM Compression	GitHub
Awesome Repo, Chinese	Awesome-Chinese-LLM	GitHub
Awesome Repo, Chain-of-Thought	Chain-of-ThoughtsPapers	GitHub
Automate, Prompting	Large Language Models Are Human-Level Prompt Engin eers	ArXiv	2022/11/03
Automate, Chain-of-Thought, Reasoning	Automatic Chain of Thought Prompting in Large Lang uage Models	ArXiv	2022/10/07
Audio2Video, Diffusion, Generation, Video	EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions	ArXiv
Audio	Robust Speech Recognition via Large-Scale Weak Sup ervision
Apple, VLM	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training	ArXiv
Apple, VLM	Guiding Instruction-based Image Editing via Multim odal Large Language Models	ArXiv
Apple, Robot	Large Language Models as Generalizable Policies fo r Embodied Tasks	ArXiv
Apple, LLM, Open-source	OpenELM: An Efficient Language Model Family with O pen Training and Inference Framework	ArXiv
Apple, LLM	ReALM: Reference Resolution As Language Modeling	ArXiv
Apple, LLM	LLM in a flash: Efficient Large Language Model Inf erence with Limited Memory	ArXiv
Apple, In-Context-Learning, Perception	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding	ArXiv
Apple, Code-as-Policies, Robot	Executable Code Actions Elicit Better LLM Agents	ArXiv
Apple	Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models	ArXiv
Apple	Ferret-UI: Grounded Mobile UI Understanding with M ultimodal LLMs	ArXiv
Apple	Ferret: Refer and Ground Anything Anywhere at Any Granularity	ArXiv
Anything, LLM, Open-source, Perception, Segmentation	Segment Anything	ArXiv	2023/04/05
Anything, Depth	Depth Anything: Unleashing the Power of Large-Scal e Unlabeled Data	ArXiv
Anything, Caption, Perception, Segmentation	Segment and Caption Anything	ArXiv
Anything, CLIP, Perception	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding	ArXiv
Agent-Project, Code-LLM	open-interpreter	GitHub
Agent, Web	WebLINX: Real-World Website Navigation with Multi- Turn Dialogue	ArXiv
Agent, Web	WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models	ArXiv
Agent, Web	OmniACT: A Dataset and Benchmark for Enabling Mult imodal Generalist Autonomous Agents for Desktop and Web	ArXiv
Agent, Web	OS-Copilot: Towards Generalist Computer Agents wit h Self-Improvement	ArXiv
Agent, Video-for-Agent	Video as the New Language for Real-World Decision Making
Agent, VLM	AssistGPT: A General Multi-modal Assistant that ca n Plan, Execute, Inspect, and Learn	ArXiv
Agent, Tool	Gorilla: Large Language Model Connected with Massi ve APIs	ArXiv
Agent, Tool	ToolLLM: Facilitating Large Language Models to Mas ter 16000+ Real-world APIs	ArXiv
Agent, Survey	A Survey on Large Language Model based Autonomous Agents	ArXiv	2023/08/22
Agent, Survey	The Rise and Potential of Large Language Model Bas ed Agents: A Survey	ArXiv	2023/09/14
Agent, Survey	Agent AI: Surveying the Horizons of Multimodal Int eraction	ArXiv
Agent, Survey	Large Multimodal Agents: A Survey	ArXiv
Agent, Soft-Dev	Communicative Agents for Software Development	GitHub
Agent, Soft-Dev	MetaGPT: Meta Programming for A Multi-Agent Collab orative Framework	ArXiv
Agent, Robot, Survey	A Survey on LLM-based Autonomous Agents	GitHub
Agent, Reinforcement-Learning, Reward	Reward Design with Language Models	ArXiv	2023/02/27
Agent, Reinforcement-Learning, Reward	EAGER: Asking and Answering Questions for Automati c Reward Shaping in Language-guided RL	ArXiv	2022/06/20
Agent, Reinforcement-Learning, Reward	Text2Reward: Automated Dense Reward Function Gener ation for Reinforcement Learning	ArXiv	2023/09/20
Agent, Reinforcement-Learning	Eureka: Human-Level Reward Design via Coding Large Language Models	ArXiv	2023/10/19
Agent, Reinforcement-Learning	Language to Rewards for Robotic Skill Synthesis	ArXiv	2023/06/14
Agent, Reinforcement-Learning	Language Instructed Reinforcement Learning for Hum an-AI Coordination	ArXiv	2023/04/13
Agent, Reinforcement-Learning	Guiding Pretraining in Reinforcement Learning with Large Language Models	ArXiv	2023/02/13
Agent, Reinforcement-Learning	STARLING: SELF-SUPERVISED TRAINING OF TEXTBASED RE INFORCEMENT LEARNING AGENT WITH LARGE LANGUAGE MODELS
Agent, Reasoning, Zero-shot	Agent Instructs Large Language Models to be Genera l Zero-Shot Reasoners	ArXiv	2023/10/05
Agent, Reasoning	Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning	ArXiv
Agent, Reasoning	AGENT INSTRUCTS LARGE LANGUAGE MODELS TO BE GENERA L ZERO-SHOT REASONERS	ArXiv
Agent, Multimodal, Robot	A Generalist Agent	ArXiv	2022/05/12
Agent, Multi	War and Peace (WarAgent): Large Language Model-bas ed Multi-Agent Simulation of World Wars	ArXiv
Agent, MobileApp	You Only Look at Screens: Multimodal Chain-of-Acti on Agents	ArXiv, GitHub
Agent, Minecraft, Reinforcement-Learning	RLAdapter: Bridging Large Language Models to Reinf orcement Learning in Open Worlds
Agent, Minecraft	Voyager: An Open-Ended Embodied Agent with Large L anguage Models	ArXiv	2023/05/25
Agent, Minecraft	Describe, Explain, Plan and Select: Interactive Pl anning with Large Language Models Enables Open-World Multi-Task Agents	ArXiv	2023/02/03
Agent, Minecraft	LARP: Language-Agent Role Play for Open-World Game s	ArXiv
Agent, Minecraft	Steve-Eye: Equipping LLM-based Embodied Agents wit h Visual Perception in Open Worlds	ArXiv
Agent, Minecraft	S-Agents: Self-organizing Agents in Open-ended Env ironment	ArXiv
Agent, Minecraft	Ghost in the Minecraft: Generally Capable Agents f or Open-World Environments via Large Language Models with Text-based Knowledge and Memory01	ArXiv
Agent, Memory, RAG, Robot	RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents	ArXiv	2024/02/06
Agent, Memory, Minecraft	JARVIS-1: Open-World Multi-task Agents with Memory -Augmented Multimodal Language Models	ArXiv	2023/11/10
Agent, LLM, Planning	LLM-Planner: Few-Shot Grounded Planning for Embodi ed Agents with Large Language Models	ArXiv
Agent, Instruction-Turning	AgentTuning: Enabling Generalized Agent Abilities For LLMs	ArXiv
Agent, Game	LEARNING EMBODIED VISION-LANGUAGE PRO- GRAMMING FR OM INSTRUCTION, EXPLORATION, AND ENVIRONMENTAL FEEDBACK	ArXiv
Agent, GUI, Web	"What’s important here?": Opportunities and Challe nges of Using LLMs in Retrieving Informatio from Web Interfaces	ArXiv
Agent, GUI, MobileApp	Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Agent, GUI, MobileApp	AppAgent: Multimodal Agents as Smartphone Users	ArXiv
Agent, GUI, MobileApp	You Only Look at Screens: Multimodal Chain-of-Acti on Agents
Agent, GUI	CogAgent: A Visual Language Model for GUI Agents	ArXiv
Agent, GUI	ScreenAgent: A Computer Control Agent Driven by Vi sual Language Large Model	GitHub
Agent, GUI	SeeClick: Harnessing GUI Grounding for Advanced Vi sual GUI Agents	ArXiv
Agent, GPT4, Web	GPT-4V(ision) is a Generalist Web Agent, if Ground ed	ArXiv
Agent, Feedback, Reinforcement-Learning, Robot	Accelerating Reinforcement Learning of Robotic Man ipulations via Feedback from Large Language Models	ArXiv	2023/11/04
Agent, Feedback, Reinforcement-Learning	AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback	ArXiv	2023/09/29
Agent, End2End, Game, Robot	An Interactive Agent Foundation Model	ArXiv
Agent, Embodied, Survey	Application of Pretrained Large Language Models in Embodied Artificial Intelligence	ArXiv
Agent, Embodied, Robot	AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents	ArXiv
Agent, Embodied, Robot	OPEx: A Component-Wise Analysis of LLM-Centric Age nts in Embodied Instruction Following	ArXiv
Agent, Embodied	OpenAgents: An Open Platform for Language Agents i n the Wild	ArXiv, GitHub
Agent, Embodied	LLM-Planner: Few-Shot Grounded Planning for Embodi ed Agents with Large Language Models	ArXiv
Agent, Embodied	Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld	ArXiv
Agent, Embodied	Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Agent, Embodied	Embodied Task Planning with Large Language Models	ArXiv
Agent, Diffusion, Speech	NaturalSpeech 3: Zero-Shot Speech Synthesis with F actorized Codec and Diffusion Models	ArXiv
Agent, Code-as-Policies	Executable Code Actions Elicit Better LLM Agents	ArXiv	2024/01/24
Agent, Code-LLM, Code-as-Policies, Survey	If LLM Is the Wizard, Then Code Is the Wand: A Sur vey on How Code Empowers Large Language Models to Serve as Intelligent Agents	ArXiv
Agent, Code-LLM	TaskWeaver: A Code-First Agent Framework
Agent, Blog	LLM Powered Autonomous Agents	ArXiv
Agent, Awesome Repo, LLM	Awesome-Embodied-Agent-with-LLMs	GitHub
Agent, Awesome Repo, LLM	CoALA: Awesome Language Agents	ArXiv, GitHub
Agent, Awesome Repo, Embodied, Grounding	XLang Paper Reading	GitHub
Agent, Awesome Repo	Awesome AI Agents	GitHub
Agent, Awesome Repo	Autonomous Agents	GitHub
Agent, Awesome Repo	Awesome-Papers-Autonomous-Agent	GitHub
Agent, Awesome Repo	Awesome Large Multimodal Agents	GitHub
Agent, Awesome Repo	LLM Agents Papers	GitHub
Agent, Awesome Repo	Awesome LLM-Powered Agent	GitHub
Agent	XAgent: An Autonomous Agent for Complex Task Solvi ng
Agent	LLM-Powered Hierarchical Language Agent for Real-t ime Human-AI Coordination	ArXiv
Agent	AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors	ArXiv
Agent	Agents: An Open-source Framework for Autonomous La nguage Agents	ArXiv, GitHub
Agent	AutoAgents: A Framework for Automatic Agent Genera tion	GitHub
Agent	DSPy: Compiling Declarative Language Model Calls i nto Self-Improving Pipelines	ArXiv
Agent	AutoGen: Enabling Next-Gen LLM Applications via Mu lti-Agent Conversation	ArXiv
Agent	CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society	ArXiv
Agent	XAgent: An Autonomous Agent for Complex Task Solvi ng	ArXiv
Agent	Generative Agents: Interactive Simulacra of Human Behavior	ArXiv
Agent	LLM+P: Empowering Large Language Models with Optim al Planning Proficiency	ArXiv	2023/04/22
Agent	AgentSims: An Open-Source Sandbox for Large Langua ge Model Evaluation	ArXiv	2023/08/08
Agent	Agents: An Open-source Framework for Autonomous La nguage Agents	ArXiv
Agent	MindAgent: Emergent Gaming Interaction	ArXiv
Agent	InfiAgent: A Multi-Tool Agent for AI Operating Sys tems
Agent	Predictive Minds: LLMs As Atypical Active Inferenc e Agents
Agent	swarms	GitHub
Agent	ScreenAgent: A Vision Language Model-driven Comput er Control Agent	ArXiv
Agent	AssistGPT: A General Multi-modal Assistant that ca n Plan, Execute, Inspect, and Learn	ArXiv
Agent	PromptAgent: Strategic Planning with Language Mode ls Enables Expert-level Prompt Optimization	ArXiv
Agent	Cognitive Architectures for Language Agents	ArXiv
Agent	AIOS: LLM Agent Operating System	ArXiv
Agent	LLM as OS, Agents as Apps: Envisioning AIOS, Agent s and the AIOS-Agent Ecosystem	ArXiv
Agent	Towards General Computer Control: A Multimodal Age nt for Red Dead Redemption II as a Case Study
Affordance, Segmentation	ManipVQA: Injecting Robotic Affordance and Physica lly Grounded Information into Multi-Modal Large Language Models	ArXiv
Action-Model, Agent, LAM	LaVague	GitHub
Action-Generation, Generation, Prompting	Prompt a Robot to Walk with Large Language Models	ArXiv
APIs, Agent, Tool	Gorilla: Large Language Model Connected with Massi ve APIs	ArXiv
AGI, Survey	Levels of AGI: Operationalizing Progress on the Pa th to AGI	ArXiv
AGI, Brain	When Brain-inspired AI Meets AGI	ArXiv
AGI, Brain	Divergences between Language Models and Human Brai ns	ArXiv
AGI, Awesome Repo, Survey	Awesome-LLM-Papers-Toward-AGI	GitHub
AGI, Agent	OpenAGI: When LLM Meets Domain Experts
3D, Open-source, Perception, Robot	3D-LLM: Injecting the 3D World into Large Language Models	ArXiv	2023/07/24
3D, GPT4, VLM	GPT-4V(ision) is a Human-Aligned Evaluator for Tex t-to-3D Generation	ArXiv
	ChatEval: Towards Better LLM-based Evaluators thro ugh Multi-Agent Debate	ArXiv	2023/08/14

For Tasks:

Click tags to check more tools for each tasks

For Jobs:

Alternative AI tools for Awesome-LLM-Papers-Comprehensive-Topics

Similar Open Source Tools

Awesome-LLM-Papers-Comprehensive-Topics

github

: 172

Awesome-LLM4IE-Papers

github

: 645

AudioLLM

AudioLLMs is a curated collection of research papers focusing on developing, implementing, and evaluating language models for audio data. The repository aims to provide researchers and practitioners with a comprehensive resource to explore the latest advancements in AudioLLMs. It includes models for speech interaction, speech recognition, speech translation, audio generation, and more. Additionally, it covers methodologies like multitask audioLLMs and segment-level Q-Former, as well as evaluation benchmarks like AudioBench and AIR-Bench. Adversarial attacks such as VoiceJailbreak are also discussed.

github

: 71

Cool-GenAI-Fashion-Papers

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

github

: 97

Awesome_LLM_System-PaperList

Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on LLMs inference and serving.

github

: 157

ai-game-devtools

github

: 441

ai-game-development-tools

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

github

: 312

LLM-Agent-Survey

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

github

: 2.2k

open-llms

Open LLMs is a repository containing various Large Language Models licensed for commercial use. It includes models like T5, GPT-NeoX, UL2, Bloom, Cerebras-GPT, Pythia, Dolly, and more. These models are designed for tasks such as transfer learning, language understanding, chatbot development, code generation, and more. The repository provides information on release dates, checkpoints, papers/blogs, parameters, context length, and licenses for each model. Contributions to the repository are welcome, and it serves as a resource for exploring the capabilities of different language models.

github

: 10.3k

LLM-PlayLab

LLM-PlayLab is a repository containing various projects related to LLM (Large Language Models) fine-tuning, generative AI, time-series forecasting, and crash courses. It includes projects for text generation, sentiment analysis, data analysis, chat assistants, image captioning, and more. The repository offers a wide range of tools and resources for exploring and implementing advanced AI techniques.

github

: 71

speech-trident

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

github

: 636

ai-reference-models

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. The purpose is to quickly replicate complete software environments showcasing the AI capabilities of Intel platforms. It includes optimizations for popular deep learning frameworks like TensorFlow and PyTorch, with additional plugins/extensions for improved performance. The repository is licensed under Apache License Version 2.0.

github

: 676

models

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. It aims to replicate the best-known performance of target model/dataset combinations in optimally-configured hardware environments. The repository will be deprecated upon the publication of v3.2.0 and will no longer be maintained or published.

github

: 669

Awesome-LLM-Eval

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

github

: 280

LLM-for-Healthcare

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

github

: 96

Github-Ranking-AI

This repository provides a list of the most starred and forked repositories on GitHub. It is updated automatically and includes information such as the project name, number of stars, number of forks, language, number of open issues, description, and last commit date. The repository is divided into two sections: LLM and chatGPT. The LLM section includes repositories related to large language models, while the chatGPT section includes repositories related to the chatGPT chatbot.

github

: 202

For similar tasks

No tools available

For similar jobs

No tools available