awesome-artificial-intelligence-research

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
https://github.com/ThyrixYang/awesome-artificial-intelligence-research

Last synced: 6 days ago
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Applications
- Audio & Speech
  - Speech Synthesis
- Computer Vision (CV)
- Natural Language Processing (NLP)
  - LLM robustness / debugging / reliability
Core Machine Learning Research
- Data-Centric AI and Data Curation
  - Awesome Open Data-Centric AI - open-source tools for data-centric AI on unstructured data.
  - Data-Juicer - data processing, cleaning, filtering, and analysis toolkit for foundation-model datasets.
  - Awesome Synthetic Datasets - practical resources and examples for creating synthetic text and vision datasets.
- Federated and Privacy-Preserving ML
  - Awesome Federated Learning - federated learning papers and resources.
  - Awesome Federated Machine Learning - federated ML papers, books, code, tutorials, and videos.
- General ML, Surveys, and Methods
  - AutoML Papers - automated machine learning papers and tutorials.
  - Awesome AutoDL - automated deep learning and neural architecture search.
  - Bayesian Deep Learning Survey - Bayesian deep learning survey resources.
  - Awesome Causality Algorithms - causal discovery and inference algorithms.
  - Awesome Decision Tree Papers - decision tree, classification tree, and regression tree papers.
  - Awesome Architecture Search - neural architecture search resources.
  - Machine Learning Surveys and Tutorials - older but still useful survey collection.
  - Machine Learning Surveys - survey papers across ML, NLP, CV, graphs, RL, and recommendation.
  - Deep Learning Uncertainty - predictive uncertainty in deep learning.
  - Awesome Time Series Papers - recent time-series papers and code across forecasting, anomaly detection, foundation models, and representation learning.
- Graph Learning and Knowledge Graphs
  - Awesome Community Detection - community detection papers.
  - Awesome Graph Classification - graph classification and representation learning.
  - Graph-Based Deep Learning Literature - graph deep learning papers by venue.
  - Knowledge Graphs - knowledge graph papers and resources.
  - Knowledge Representation Learning - knowledge representation learning papers.
  - Must-Read Papers on GNN - curated GNN papers.
  - Awesome Self-Supervised GNN - self-supervised learning on graphs.
  - Awesome Graph Neural Networks - GNN paper list.
- Reinforcement Learning
  - Deep Reasoning Papers - neural-symbolic, logical, visual, and planning-oriented reasoning.
  - Awesome RL - reinforcement learning resources.
  - Awesome Deep RL - deep reinforcement learning papers.
- Robustness, Interpretability, and Learning Paradigms
  - Adversarial Machine Learning - adversarial ML papers and resources.
  - Awesome Domain Adaptation - domain adaptation papers and code.
  - Awesome Incremental Learning - incremental and lifelong learning.
  - Continual Learning Papers - continual learning papers.
  - Awesome Machine Learning Interpretability - responsible ML, interpretability, and explainability.
  - Awesome Interpretable Machine Learning - interpretable ML papers.
  - Awesome Explainable AI - explainability papers and resources.
  - Awesome Knowledge Distillation - distillation papers and implementations.
  - Awesome Learning with Label Noise - noisy-label learning papers.
  - Awesome Meta Learning - meta-learning papers and resources.
  - Awesome Self-Supervised Learning - self-supervised learning methods.
  - Awesome Transfer Learning - transfer learning and domain adaptation.
  - Awesome Open World Learning - open-world, open-set, and incremental recognition.
  - Awesome LLM Interpretability - LLM interpretability tools, papers, communities, sparse autoencoders, probing, and mechanistic interpretability resources.
Domain Applications
- Anomaly Detection
  - Anomaly Detection Resources - anomaly detection papers, books, code, and datasets.
  - Awesome Anomaly Detection - anomaly detection papers and resources.
- Natural Language, Speech, and Audio
  - Awesome Sentence Embedding - sentence embedding resources.
  - Awesome Speech Enhancement - speech enhancement papers and tutorials.
  - Awesome Speech Recognition and Speech Synthesis Papers - ASR and TTS papers.
  - Awesome Deep Learning Music - deep learning for music.
  - Awesome NLG - natural language generation papers and resources.
  - Speech Synthesis Papers - speech synthesis paper list.
  - Awesome Large Speech Model - large speech/audio model papers, datasets, tools, applications, and benchmarks.
- Recommendation, Search, and Ads
  - Awesome Recommender System - recommender system papers.
  - RSTutorials - must-read recommender system papers.
  - Real-Time Bidding Papers - RTB and computational advertising papers.
  - Awesome Deep Learning Papers for Search, Recommendation, and Advertising - industrial search, recommendation, ranking, ads, LLM, and RL papers.
- Science, Medicine, and Quant
  - Awesome GAN for Medical Imaging - medical image synthesis papers.
  - Awesome DeepBio - deep learning for computational biology.
  - Awesome Quant Machine Learning Trading - quant trading and ML resources.
  - Awesome AI for Science - AI tools, papers, datasets, and frameworks for scientific discovery.
  - Awesome Deep Research Agent - deep research agents, AI scientist systems, search-augmented reasoning, and research workflow papers.
  - Awesome AI Scientist - survey-style collection on AI scientists, AI researchers, AI engineers, and automated research pipelines.
  - Helical - framework for using and fine-tuning bio foundation models across genomics and transcriptomics.
  - Awesome AI Agents for Healthcare - healthcare agentic AI papers and resources.
  - Awesome Scientific Language Models - scientific language models across math, physics, chemistry, materials, biology, medicine, and geoscience.
  - SciAgentArena - living benchmark for evaluating AI agents on real-world scientific research tasks across domains.
  - Awesome AI for Research - AI-for-research papers and systems organized by research stage, role, domain, and evaluation.
  - HealthBench - benchmark for evaluating AI systems on realistic health conversations with physician-written rubrics.
Foundation Models, LLMs, and Agents
- Agent Protocols, Memory, and Tooling
  - Awesome MCP Servers - large curated list of Model Context Protocol servers for connecting agents to tools and data sources.
  - Awesome MCP Clients - MCP-capable clients and applications across desktop, IDE, CLI, and agent workflows.
  - MCP Agent - framework and patterns for building agents on top of Model Context Protocol.
  - Awesome Agent Memory - papers, systems, and benchmarks for long-term memory, context engineering, retrieval, and reasoning in agents.
- AI Agents
  - Awesome AI Agents - autonomous agent projects and resources.
  - Awesome AI Agent Papers - weekly updated 2026 agent research papers on memory, tools, evaluation, workflows, and security.
  - Awesome Code Agents - coding agents, software engineering agents, benchmarks, and research papers.
  - Awesome GUI Agent - papers and resources for multimodal GUI, browser, and computer-use agents.
  - Awesome Computer Use - computer-use GUI agent papers, projects, blogs, and benchmarks.
  - Awesome Data Agents - agents for data preparation, analysis, and data management.
  - Awesome Agents for Science - LLM agents for scientific research and development.
  - Awesome Edge AI for Multimodal Agents - efficient multimodal agents on mobile and edge devices.
  - Open Deep Research - open-source research agent implementation for iterative search, synthesis, and reporting.
- Alignment, Safety, Security, and Trustworthiness
  - Awesome AI Security - adversarial ML, LLM security, and broader AI security.
  - Machine Learning for Cyber Security - ML methods for cyber security.
  - Threat Detection and Hunting - practical security detection and hunting research resources.
  - Awesome LLM Safety Papers - LLM safety, alignment, jailbreaks, privacy, and robustness papers.
  - Awesome AI Safety - AI quality, testing, robustness, fairness, and privacy.
  - Awesome AI Alignment - alignment research resources and reading paths.
  - AgentHarm - benchmark for harmful multi-step LLM agent tasks and jailbreak robustness.
- Efficient LLMs and Systems
  - Awesome Efficient LLM - quantization, pruning, KV cache compression, MoE, serving, and efficient reasoning.
  - Awesome Resource-Efficient LLM Papers - resource-efficient LLM pre-training, fine-tuning, and inference.
  - Awesome LLMOps - production LLM lifecycle, evaluation, observability, deployment, and prompt management.
  - Model Inference Deployment - inference deployment frameworks across TensorRT, ONNX Runtime, OpenVINO, TVM, mobile runtimes, and edge accelerators.
- Large Language Models
  - Awesome LLM - broad LLM papers, model lists, training, inference, evaluation, and tutorials.
  - Awesome LLM Reasoning - reasoning, chain-of-thought, o1/R1-style methods, and multimodal reasoning.
  - Awesome Reasoning Foundation Models - reasoning with language, vision, and multimodal foundation models.
  - Awesome LLM Evaluation Papers - evaluation methods, benchmarks, and survey papers.
  - Awesome Multilingual LLMs Papers - multilingual LLM data, training, evaluation, and applications.
- Long-Context LLMs
  - Thus Spake Long-Context LLM - survey and paper list covering long-context architecture, infrastructure, training, inference, and evaluation.
  - RULER - synthetic benchmark for evaluating effective long-context language model performance across configurable tasks and sequence lengths.
- RAG, Search, and Knowledge-Intensive AI
  - Database Learning - database systems, data management, and ML-related database resources.
  - Awesome RAG - retrieval-augmented generation papers, tutorials, tools, and workshops.
  - FlashRAG - research toolkit for efficient RAG pipelines, datasets, metrics, and reproducible experiments.
  - Awesome LLM KG - unifying LLMs and knowledge graphs.
- Reasoning, Post-Training, and Synthetic Data
  - Awesome Inference-Time Scaling - inference/test-time compute, search, self-refinement, and verifier-guided reasoning papers.
  - Awesome Test-Time Scaling in LLMs - survey-oriented taxonomy and paper list for test-time scaling.
  - Awesome LLM Post-Training - reasoning LLM post-training, RL, distillation, alignment, and evaluation resources.
  - Awesome LLM Synthetic Data - synthetic data generation papers, tools, and guides for LLM training and post-training.
  - TRL - Hugging Face library for SFT, DPO, GRPO, reward modeling, and RLHF post-training.
  - verl - flexible RL post-training framework for LLMs with scalable rollout and training infrastructure.
Machine Learning (ML) and Data Mining (DM)
Multimodal, Vision-Language, and Generative AI
- Computer Vision
  - Awesome Deep Vision - classic deep vision resources with high historical value.
  - Awesome Face Recognition - face detection, recognition, alignment, generation, and anti-spoofing.
  - Awesome Object Detection - object detection papers.
  - Deep Learning Object Detection - object detection paper list with many classic references.
  - Awesome Lane Detection - lane detection papers.
  - Awesome Image Classification - image classification papers and code.
  - Awesome CBIR Papers - image retrieval and content-based image retrieval.
  - 3D Point Cloud - point cloud deep learning resources.
  - Awesome Visual Transformer - transformers for computer vision.
  - Awesome Crowd Counting - crowd counting papers and datasets.
  - 3D Gaussian Splatting Papers - actively maintained 3D Gaussian Splatting paper tracker, including conference-specific lists.
- Diffusion and Generative Models
  - Really Awesome GAN - GAN papers and resources.
  - Awesome Normalizing Flows - normalizing flow papers and implementations.
  - Awesome Diffusion Models - diffusion and score-based generative model papers and resources.
  - Awesome Video World Models - video generation and interactive world-model papers with a state/dynamics taxonomy.
  - Awesome Video Diffusions - auto-updated video diffusion and video generation paper tracker.
- Embodied AI, Robotics, and World Models
  - Awesome Autonomous Vehicles - self-driving and autonomous vehicle resources.
  - Awesome Embodied AI - embodied AI surveys, VLA models, datasets, simulators, humanoids, and safety.
  - Awesome Physical AI - VLA models, robot foundation models, world models, diffusion policies, evaluation, and safety.
  - Awesome VLA Robotics - vision-language-action models and robot foundation model papers.
  - Awesome VLA Papers - VLA papers covering robotics, autonomous driving, world models, and spatial reasoning.
  - Awesome World Models - world models for video generation, embodied AI, robotics, and autonomous driving.
  - Awesome World Models for Robots - world-model papers, datasets, and workshops focused on robotics.
- Multimodal and Vision-Language Models
  - Awesome Multimodal ML - classic and modern multimodal machine learning resources.
  - Awesome Multimodal Modeling - unified multimodal modeling across MLLMs, understanding, generation, and omni-modal agents.
  - Awesome Multimodal Large Language Models - current MLLM papers, benchmarks, datasets, and evaluation.
  - Awesome Large Multimodal Models - large multimodal models from input-output space perspectives.
  - Awesome Large Vision-Language Model - VLM papers, medical foundation models, benchmarks, and presentations.
  - Awesome Vision-Language Models for Vision Tasks - VLMs for classification, detection, segmentation, and other vision tasks.
  - Awesome Document Understanding - document AI, OCR, layout understanding, and document-oriented MLLM resources.
  - MMLongBench - benchmark and evaluation code for long-context vision-language models.
  - Awesome Multimodal Reasoning - multimodal reasoning and RL-based visual reasoning papers, surveys, benchmarks, and datasets.
  - MMMU - multidisciplinary multimodal understanding and reasoning benchmark with evaluation code and leaderboard.
  - Video-MME-v2 - benchmark and evaluation pipeline for comprehensive video understanding in multimodal models.
New Paper Recommendation
- Other Applications
  - Awesome NLP Paper Discussions (by The Hugging Face team)
Research Feeds, Benchmarks, and Model/Data Hubs
- Learning Paths
  - Dive into Deep Learning - interactive deep learning book with code.
  - fast.ai Practical Deep Learning - practical deep learning course.
  - CS229 Machine Learning - Stanford machine learning course.
  - CS231n Convolutional Neural Networks for Visual Recognition - computer vision fundamentals.
  - CS224N Natural Language Processing with Deep Learning - NLP and language model foundations.
  - CS324 Large Language Models - large language model concepts, training, evaluation, and societal impact.
  - Berkeley CS285 Deep Reinforcement Learning - deep RL lectures and assignments.
- Models, Datasets, and Evaluation
  - Awesome Public Datasets - topic-centric list of public datasets.
  - Hugging Face Models - model hub for open models.
  - Hugging Face Datasets - dataset hub for ML research.
  - Open LLM Leaderboard - open model evaluation leaderboard.
  - LMArena Leaderboard - human-preference leaderboard for chat and multimodal models.
  - Awesome AI Benchmarks - searchable collection of benchmarks for agents, reasoning, code, multimodal, translation, and other AI domains.
  - Awesome LLM Eval - tools, datasets, benchmarks, leaderboards, papers, and demos for LLM evaluation.
  - LM Evaluation Harness - widely used framework for evaluating language models on many benchmark tasks.
  - OpenCompass - open evaluation platform for LLMs and multimodal models.
  - Simple Evals - lightweight evaluation examples and baseline eval implementations.
  - DeepEval - LLM evaluation framework for unit-style tests, RAG metrics, agents, and CI workflows.
  - LeRobot - open models, datasets, tools, and tutorials for robotics research.
  - MinerU - open-source document extraction tool for converting complex PDFs and Office files into Markdown/JSON.
  - OpenAI Cookbook - practical examples and guides for building and evaluating AI systems.
  - OpenAI Evals - framework and open registry for evaluating LLMs and LLM systems.
  - HELM - holistic evaluation framework and leaderboards for language, multimodal, safety, and domain benchmarks.
  - GAIA - benchmark and leaderboard for tool-using, multimodal, web-browsing AI assistants.
  - BrowseComp - benchmark for browsing agents that must locate hard-to-find information on the web.
  - WebArena - realistic self-hosted web environment and benchmark for autonomous web agents.
  - OSWorld - benchmark for multimodal agents completing open-ended tasks in real computer environments.
  - tau2-bench - tool-agent-user interaction benchmark for text and voice customer-service agents.
  - Berkeley Function Calling Leaderboard - leaderboard and evaluation suite for LLM tool-use and function-calling capabilities.
  - Humanity's Last Exam - expert-level benchmark designed to test frontier models across broad academic subjects.
  - SWE-bench - benchmark and evaluation harness for real-world software engineering issue resolution.
  - SWE-Lancer - benchmark of real freelance software engineering tasks with end-to-end tests and managerial decisions.
  - LiveCodeBench - contamination-aware benchmark for code generation, repair, execution, and test prediction.
  - Terminal-Bench - realistic terminal-agent benchmark suite spanning software engineering, ML, security, and data tasks.

Programming Languages

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awesome-artificial-intelligence-research

Applications

Audio & Speech

Computer Vision (CV)

Natural Language Processing (NLP)

Core Machine Learning Research

Data-Centric AI and Data Curation

Federated and Privacy-Preserving ML

General ML, Surveys, and Methods

Graph Learning and Knowledge Graphs

Reinforcement Learning

Robustness, Interpretability, and Learning Paradigms

Domain Applications

Anomaly Detection

Natural Language, Speech, and Audio

Recommendation, Search, and Ads

Science, Medicine, and Quant

Foundation Models, LLMs, and Agents

Agent Protocols, Memory, and Tooling

AI Agents

Alignment, Safety, Security, and Trustworthiness

Efficient LLMs and Systems

Large Language Models

Long-Context LLMs

RAG, Search, and Knowledge-Intensive AI

Reasoning, Post-Training, and Synthetic Data

Machine Learning (ML) and Data Mining (DM)

Multimodal, Vision-Language, and Generative AI

Computer Vision

Diffusion and Generative Models

Embodied AI, Robotics, and World Models

Multimodal and Vision-Language Models

New Paper Recommendation

Other Applications

Research Feeds, Benchmarks, and Model/Data Hubs

Learning Paths

Models, Datasets, and Evaluation