Best AI tools for< Explore Papers >

Papers With Code is an AI tool that provides access to the latest research papers in the field of Machine Learning, along with corresponding code implementations. It offers a platform for researchers and enthusiasts to stay updated on state-of-the-art datasets, methods, and trends in the ML domain. Users can explore a wide range of topics such as language modeling, image generation, virtual try-on, and more through the collection of papers and code available on the website.

TextLayer is an AI-powered research companion that simplifies access to the latest research in machine learning. It empowers users to turn new discoveries into powerful solutions by providing personalized recommendations, AI-generated insights, and implementation support. The platform offers curated AI-generated summaries of research papers, tailored recommendations, and a chat integration for interacting with AI. TextLayer aims to bridge the gap between complex ML research papers and understanding, fostering curiosity, innovation, and shaping the future of Artificial Intelligence.

OpenRead is an AI-powered research tool that offers a seamless research experience by providing access to a vast repository of over 300 million papers and trillions of web sources. It allows users to search for papers in real-time, gain valuable insights, and explore trending research topics effortlessly. With features like paper Espresso, Paper Q&A, and related Paper Graph, OpenRead aims to enhance research productivity and knowledge organization. The tool also offers the ability to disable web support for focused tasks and remembers chat history for easy reference.

mypapers.ai is an AI tool designed to assist users in managing and analyzing academic papers efficiently. The tool offers features such as exploring papers and authors, toggling between papers and authors, and tracking the journey of research. Users can also access the code on GitHub to further enhance their research capabilities.

Connected Papers is a search engine for academic papers that uses artificial intelligence to help users find and explore relevant research. It allows users to search for papers by keyword, author, or title, and then explore the connections between them. Connected Papers also provides a variety of tools to help users organize and manage their research, including the ability to create custom collections of papers, add notes and annotations, and share their research with others.

Papertalk.io is an AI-powered platform that revolutionizes research by providing users with access to over 215 million papers, AI-generated explanations, and actionable insights. The platform offers precision search tools, AI-powered understanding of research papers, and personalized guidance on applying insights practically. Papertalk.io aims to make research more accessible and approachable for users from diverse backgrounds, transforming complex data into easy-to-digest formats to foster innovation and expertise.

Athina AI Hub is an ultimate resource for AI development teams, offering a wide range of AI development blogs, research papers, and original content. It provides valuable insights into cutting-edge technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. Athina AI Hub aims to empower AI engineers, researchers, data scientists, and product developers by offering comprehensive resources and fostering innovation in the field of Artificial Intelligence.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

PaperLens is an AI-powered platform that serves as a lens into the world of research papers. It allows users to search through research papers using natural language or verify scientific claims with supporting evidence. The platform combines cutting-edge AI technology with intuitive design to help users find the most relevant academic research. PaperLens leverages state-of-the-art RAG (Retrieval-Augmented Generation) technology for precise, real-time results. Users can find relevant research papers based on meaning and context, filter results by publication date and relevance score, and benefit from simple, transparent pricing plans.

EssayGet is an AI tool designed to assist users in writing academic papers by providing features such as humanizing text, ensuring plagiarism-free content, generating in-text citations, and creating comprehensive outlines. The tool utilizes advanced algorithms to refine and rephrase writing, making it undetectable by top AI detectors like Turnitin, GPTZero, and Originality.ai. EssayGet aims to help students maintain the authenticity and originality of their work effortlessly, trusted by top university students for its reliable services.

Zendy is an AI-powered research library and AI assistant that empowers users to explore open access and paywalled academic literature across all disciplines. It offers tools for faster reading and citing of research papers, including AI summarization, key phrase highlighting, and organizing reading lists. With a user-friendly interface, Zendy helps users save time during literature review, making research more efficient and productive.

Floatz is an AI tool designed for scientific research, aimed at inspiring individuals to create extraordinary things. The platform leverages artificial intelligence to assist researchers in their work, providing innovative solutions and insights to drive scientific discoveries. With a focus on creativity and imagination, Floatz empowers users to explore new possibilities and push the boundaries of knowledge in various fields of study.

iLovePhD is a comprehensive research platform that serves as a one-stop solution for all research needs. It offers a wide range of services including access to journals, postdoc opportunities, scholarships, IoT security tools, job listings, datasets, and UGC-CARE journals. The platform also features ChatGPT for plagiarism detection and artificial intelligence applications. iLovePhD aims to assist researchers and academicians in publishing impactful work and staying updated with the latest trends in the academic world.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

BioloGPT is an AI tool designed to answer biology-related questions with insights and graphs. It provides information on various topics such as maintaining a healthy gut microbiome, foods for a healthy immune system, effects of cannabis on the brain, risks of Covid-19 vaccines, and advancements in psoriasis treatment. The tool is updated daily and cites full papers to support its answers.

CitizenPortal.ai is a comprehensive online platform designed for informed citizens to access a wide range of information related to local government, schools, city, county, state representatives, bills, media, podcasts, federal library, and more. Users can search and browse through various documents, including Congressional hearings, Executive Orders, Federalist Papers, Supreme Court cases, and State of the Union addresses. The platform offers a user-friendly interface with search options like Heat Map Search, Content Search, Article Search, and Congress GPT. CitizenPortal.ai aims to empower citizens by providing them with easy access to valuable information from official government sources.

The website is a comprehensive platform for software development news, covering a wide range of topics such as AI, DevOps, Observability, CI/CD, Cloud Native, Data, Test Automation, Mobile, API, Performance, Security, DevSecOps, Enterprise Security, Supply Chain Security, Teams & Culture, Dev Manager, Agile, Value Stream, Productivity, and more. It provides news articles, webinars, podcasts, and white papers to keep developers informed about the latest trends and technologies in the software development industry.

Earkind is an AI-generated podcast platform that offers engaging and entertaining content by combining language models with neural expressive text-to-speech and programmatic audio editing. The platform creates full podcast episodes based on selected news and research papers, featuring lively discussions between fictional characters. Earkind aims to provide a fun and non-serious approach to Artificial Intelligence news and research, with a focus on personalized audio content.

The website is a comprehensive platform providing medical news, articles, and resources covering a wide range of health topics such as COVID-19, artificial intelligence in healthcare, diseases, treatments, and medical advancements. It offers insights from experts, interviews, white papers, and newsletters in the fields of medicine and life sciences. Users can access information on various health categories, research findings, safety summaries, and trending stories in the medical and life sciences domains.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The recipes provide examples on how to chain multiple LLM calls, create agents that route tasks to specialized models, run multiple LLMs in parallel, break down tasks into parallel subtasks, build agents that iteratively improve responses, perform LoRA fine-tuning and inference, fine-tune LLMs for repetition, improve summarization capabilities, fine-tune LLMs on multi-step conversations, implement retrieval-augmented generation, conduct multimodal search and conditional image generation, visualize vector embeddings, improve search results with rerankers, implement vector search with embedding models, extract structured text from images, summarize and evaluate outputs with LLMs, generate podcasts from PDF content, and get LLMs to generate knowledge graphs.

CodeLLM Paper repository provides a curated list of research papers focused on Large Language Models (LLMs) for code. It aims to facilitate researchers and practitioners in exploring the rapidly growing body of literature on this topic. The papers are systematically collected from various top-tier venues, categorized, and labeled for easier navigation. The selection strategy involves abstract extraction, keyword matching, relevance check using LLMs, and manual labeling. The papers are categorized based on Application, Principle, and Research Paradigm dimensions. Contributions to expand the repository are welcome through PR submission, issue submission, or request for batch updates. The repository is intended solely for research purposes, with raw data sourced from publicly available information on ACM, IEEE, and corresponding conference websites.

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

The Eureka Framework is an open-source toolkit that leverages advanced Artificial Intelligence and Decentralized Science principles to revolutionize scientific discovery. It enables researchers, developers, and decentralized organizations to explore scientific papers, conduct AI-driven experiments, monetize research contributions, provide token-gated access to AI agents, and customize AI agents for specific research domains. The framework also offers features like a RESTful API, robust scheduler for task automation, and webhooks for real-time notifications, empowering users to automate research tasks, enhance productivity, and foster a committed research community.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

The NewEraAI-Papers repository provides links to collections of influential and interesting research papers from top AI conferences, along with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Users can stay up to date with the latest advances in AI research by exploring this repository. Contributions to improve the completeness of the list are welcomed, and users can create pull requests, open issues, or contact the repository owner via email to enhance the repository further.

This repository is a curated list of research papers that explore the integration of Large Language Model (LLM) technology with tabular data. It aims to provide a comprehensive resource for researchers and practitioners interested in this emerging field. The repository includes papers on a wide range of topics, including table-to-text generation, table question answering, and tabular data classification. It also includes a section on related datasets and resources.

Awesome deep logic is a curated list of papers and resources focusing on integrating symbolic logic into deep neural networks. It includes surveys, tutorials, and research papers that explore the intersection of logic and deep learning. The repository aims to provide valuable insights and knowledge on how logic can be used to enhance reasoning, knowledge regularization, weak supervision, and explainability in neural networks.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

LLM-Agent-Survey is a comprehensive repository that provides a curated list of papers related to Large Language Model (LLM) agents. The repository categorizes papers based on LLM-Profiled Roles and includes high-quality publications from prestigious conferences and journals. It aims to offer a systematic understanding of LLM-based agents, covering topics such as tool use, planning, and feedback learning. The repository also includes unpublished papers with insightful analysis and novelty, marked for future updates. Users can explore a wide range of surveys, tool use cases, planning workflows, and benchmarks related to LLM agents.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

A curated list of high-quality papers on resource-efficient Large Language Models (LLMs) with a focus on various aspects such as architecture design, pre-training, fine-tuning, inference, system design, and evaluation metrics. The repository covers topics like efficient transformer architectures, non-transformer architectures, memory efficiency, data efficiency, model compression, dynamic acceleration, deployment optimization, support infrastructure, and other related systems. It also provides detailed information on computation metrics, memory metrics, energy metrics, financial cost metrics, network communication metrics, and other metrics relevant to resource-efficient LLMs. The repository includes benchmarks for evaluating the efficiency of NLP models and references for further reading.

A guide for navigating NeurIPS 2023 all 3,586 AI papers

Summarizes academic papers, especially in medical and scientific research

Concise NeRF guide, summarizing top papers and aiding research.

I search PubMed and Google Scholar to find academic papers and articles.

深入分析无机材料及氧离子导体论文指南，主要使用中文回答。

Assistente de pesquisa em Letras com dados da CAPES

中文论文指导和搜索助手

Especialista em dados de teses e dissertações de Imunologia

Academic assistant for research on 'the Uncanny' in postmodern society and art.

Explains Arxiv papers with examples, analogies, and direct PDF links.

Explain scientific papers using the 3-pass method for efficient understanding. After uploading a paper, you can enter First pass/Second pass /Third pass / Q&A to get different level of response from SciPlore.

Know the details about the Amalgamated Intermittent Computing Systems paper

这是一个AI论文生成

I'm like a time machine, offering vivid journeys through time with accurate details.

GPT expert en astronomie, adaptable et éducatif, pour enseignement et consultation académique.

Explores attention in cognition and offers focus improvement tips.

Expands queries with tangential insights

I specialize in encouraging people to critically reflect on and explore their beliefs through Socratic questioning and neutral conversation.

Explore the infinite and your place in it.

Explore any topic with an advanced hierarchical interactive mapping with streamlined control. Begin with !start [topic].