Best AI tools for< Understand Research Papers >
20 - AI tool Sites
Jotlify
Jotlify is an AI-powered platform that simplifies complex research papers, making them accessible and easy to understand for students, researchers, professionals, and curious minds. It transforms dense academic content into engaging stories and insights, bridging the gap between complex research and easy understanding. With Jotlify, users can uncover stories and insights that can transform their understanding and impact various aspects of their lives.
PaperGuide.AI
PaperGuide.AI is an AI-powered research platform that helps users discover, read, write, and manage research with ease. It offers features such as AI search to discover new papers, summaries to understand complex research, reference management, note-taking, and AI writing assistance. Trusted by over 500,000 users, PaperGuide.AI streamlines academic and research workflows by providing tools to synthesize research faster, manage references effectively, and write essays and research papers efficiently.
Papertalk.io
Papertalk.io is an AI-powered platform that revolutionizes the way researchers interact with academic content. With over 215 million papers, 4000+ trusted users, and 5000+ AI explanations, Papertalk.io offers precision search capabilities, AI-powered understanding, actionable insights, and next-gen tools for researchers. The platform aims to make research accessible and approachable for everyone, transforming complex data into easy-to-digest formats to enhance innovation and expertise.
SciSpace
SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.
Dr.Oracle
Dr.Oracle is a personal AI research assistant that helps you find and understand the latest research in your field. With Dr.Oracle, you can search for research papers, track your favorite authors, and get personalized recommendations for new research. Dr.Oracle is the perfect tool for students, researchers, and anyone who wants to stay up-to-date on the latest research in their field.
Explainpaper
Explainpaper is an AI tool designed to simplify and explain complex research papers. Users can upload a paper, highlight confusing text, and receive explanations to make the papers easier to read. The tool leverages AI models to break down dense sections and provide insights into academic jargon, helping researchers and learners comprehend complex concepts more effectively.
Paperguide
Paperguide is an AI Research Platform that offers an all-in-one solution for researchers and students to discover, read, write, manage research papers with ease. It provides AI-powered Reference Manager and Writing Assistant to help users understand papers, manage references, annotate/take notes, and supercharge their writing process. With features like AI Search, Instant Summaries, Effortless Annotations, and Flawless Citations, Paperguide aims to streamline the academic and research workflow for its users.
SciSummary
SciSummary is an AI tool designed to summarize scientific articles and research papers quickly and efficiently. It leverages cutting-edge AI technology, specifically GPT-3.5 and GPT-4 models, to provide accurate and concise summaries for busy scientists, students, and enthusiasts. The platform allows users to submit documents via email, upload them to the dashboard, or attach PDFs for summarization. With features like unlimited summaries, figure and table analysis, and chat messaging, SciSummary is a valuable resource for anyone looking to digest complex scientific content effortlessly.
Summarize Paper .com
Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.
ArxivPaperAI
ArxivPaperAI is an AI-powered research paper summarizer that helps you quickly and easily understand the key points of academic papers. With ArxivPaperAI, you can:
OpenRead
OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.
Brevity
Brevity is an AI tool that specializes in transforming long-form content into concise and clear summaries. It helps users save time by providing quick and efficient summaries of text files. With Brevity, users can easily extract key information and get straight to the point without having to go through lengthy content. The tool is designed to enhance productivity and streamline the process of digesting information.
AskDocs
AskDocs is an AI-powered document assistant designed to help users read faster and create better work content. It offers cross-document analysis, quick answers linked to documents, one-click summaries of key concepts, and the ability to understand confusing information. With a focus on enhancing productivity, AskDocs is trusted by students, knowledge workers, and small businesses to streamline research, meeting notes, emails, and more. The tool supports various document types and provides instant answers directly linked to sources within the uploaded documents.
Semantic Scholar
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.
Paper Interpreter
Paper Interpreter is an AI application developed by Daichi Konno, a medical doctor and neuroscientist at the University of Tokyo. The application allows users to input a PDF or URL of a research paper and receive a simplified explanation generated by an AI assistant. It gained significant popularity shortly after its release, ranking 6th globally and 1st in Japan in terms of usage. The tool aims to make academic research more accessible and understandable to a wider audience.
Cambrian Copilot
Cambrian Copilot is an AI tool designed for researchers and engineers to easily stay up-to-date with the latest machine learning research. With over 240,000 ML papers available for search, the tool helps users understand complex details and automate literature reviews, simplifying the process of discovering and accessing cutting-edge research in the field of machine learning.
LifeArchitect.ai
LifeArchitect.ai is a leading platform in the field of artificial intelligence (AI), offering a wealth of insights, papers, articles, and videos related to post-2020 AI advancements. Dr. Alan D. Thompson, a renowned expert in AI, focuses on enhancing human intelligence through AI technologies. The platform serves major AI labs, government bodies, research institutes, and individuals interested in the AI revolution, providing comprehensive analyses, reports, and retrospectives on AI progress and future trends.
Stylus
Stylus is an AI-powered essay writing tool designed to assist students in creating academic papers. It offers features such as AI-driven editor, paper generator, and personal statement writer. Stylus provides comprehensive and well-structured writing, uses reliable sources, and ensures stylistic accuracy. The tool is multilingual, works on mobile devices, and guarantees original content without plagiarism. Users can benefit from the AI's ability to understand personal writing style and voice, making the writing process efficient and insightful.
Bard PDF
Bard PDF is an AI-powered tool that allows users to interact with PDF documents through natural language conversation. It can summarize documents, answer questions, and extract key information. Bard PDF is designed to help researchers, students, and professionals save time and improve their productivity.
Scite
Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.
20 - Open Source AI Tools
chatgpt-universe
ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher
awesome-LLM-game-agent-papers
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.
LLM-Agents-Papers
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.
machine-learning-research
The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.
ABigSurveyOfLLMs
ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.
Awesome-LLM-Compression
Awesome LLM compression research papers and tools to accelerate LLM training and inference.
Awesome-LLM-Tabular
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.
data-to-paper
Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.
baal
Baal is an active learning library that supports both industrial applications and research use cases. It provides a framework for Bayesian active learning methods such as Monte-Carlo Dropout, MCDropConnect, Deep ensembles, and Semi-supervised learning. Baal helps in labeling the most uncertain items in the dataset pool to improve model performance and reduce annotation effort. The library is actively maintained by a dedicated team and has been used in various research papers for production and experimentation.
awesome-sound_event_detection
The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.
LLM-PLSE-paper
LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.
paper-qa
PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.
nlp-llms-resources
The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.
Top-AI-Tools
Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.
awesome-artificial-intelligence-guidelines
The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.
Awesome-LLM-3D
This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words,Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
MediaAI
MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.
20 - OpenAI Gpts
Paper Interpreter (Japanese)
論文のPDFをアップロードすると、内容を日本語で分かりやすく説明します(OpenAI側の問題により、論文URLでの解説機能は一時停止しています)。This is the Japanese version of Paper Interpreter. The international version is available at https://chat.openai.com/g/g-R9Dry2N5h-paper-interpreter
SciPlore: A Science Paper Explorer
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.
Academic Digest GPT
Provides concise summaries of academic papers and scholarly articles for enhanced comprehension.
AnalyzePaper
Takes in a research paper or article, analyzes its claims, study quality, and results confidence and provides an easy to understand summary.
Dissertation & Thesis GPT
An Ivy Leage Scholar GPT equipped to understand your research needs, formulate comprehensive literature review strategies, and extract pertinent information from a plethora of academic databases and journals. I'll then compose a peer review-quality paper with citations.
Research Mentor by Dr P.M. Sinclair
A GPT that explains research methods in a language that everyone can easily understand.
Ai Doc
Join millions of students, researchers and professionals to instantly answer questions and understand research with Al
AI-Powered SPSS Aid: Manuscript Interpretation
I assist with SPSS data interpretation for academic manuscripts.
WowSummary
Business Books 🤝 Micro Summaries. Because sometimes, it should have been a blogpost.
AI Exam Prep Assistant
AI exam prep assistant offering study tips and concept explanations
ClimatePal by Palau
I'm trained on major climate reports from the UN, World Resources Institute, and others. Ask me about climate trends, green energy, and how climate change affects us all. I make complex climate info easy to understand!