Directory
Papers
Reviewed resources in Papers. 148 resources listed.
AwesomeOPD
github.comA curated list of open-source repositories and papers on training language, vision-language, and agent models with on-policy distillation and on-policy self-distillation, organized by teacher source, supervision signal, and training-pipeline stage.
A curated collection of papers, tutorials, books, benchmarks and open-source libraries on out-of-distribution detection, robustness and generalization in machine learning.
This project studies why on-policy distillation of large language models succeeds or fails: it finds the technique needs a student and teacher with compatible thinking patterns and genuinely new capability, then proposes two ways to recover a failing run.
Awesome-Multimodal-Large-Language-Models
github.comA curated, regularly updated reading list of papers and the author's own reading notes on multimodal large language models, large language models, and diffusion models.
Knowledge Editing for LLMs Papers
github.comA must-read paper list on knowledge editing for large language models, tracking surveys, benchmarks, and techniques for updating a trained model's knowledge without full retraining.
Awesome AI Agents for Healthcare
techrxiv.orgA curated list of research papers and resources on agentic AI in healthcare, covering medical image analysis, EHR manipulation, patient dialogue, drug discovery, and healthcare administration, tied to a published survey.
Awesome LLM RAG
github.comA curated list of research papers, workshops, and tools on retrieval-augmented generation for large language models, organized by topic from embeddings to evaluation.
Autonomous Agents
github.comA daily-updated list of research papers on autonomous LLM agents, each summarized in a few bullet points covering the paper's method, architecture, and evaluation.
AI Agents Papers
github.comA biweekly-updated, curated collection of research papers on AI agent applications and architecture, organized by capability, architecture, operations and application.
Awesome Multi-Agent Papers
github.comA curated, actively updated list of notable research papers on multi-agent systems built with large language models, compiled by the Swarms research team.
Deep learning for Knowledge-Graph
lihanghang.github.ioA curated Chinese-language collection of research summaries, papers and resource links on knowledge graphs, natural language processing and dialogue systems, including a survey of open-source question-answering systems.
When LLMs Meet Cybersecurity: A Systematic Literature Review
tmylla.github.ioA systematic literature review indexing more than 861 papers on large language models applied to cybersecurity, organized around domain-specific LLMs, defensive and offensive applications, and future research directions.
Awesome AI Agent Papers
starterkit.getdesign.mdA hand-picked, weekly-updated collection of AI agent research papers published in 2026, sourced from arXiv and organized by topics such as multi-agent coordination, memory and RAG, tooling, evaluation and security.
Awesome Embodied Robotics and Agent
github.comA curated, actively updated list of research on embodied robotics and agents built with vision-language and large language models, covering scene understanding, navigation, planning and manipulation.
Awesome-AgenticLLM-RL-Papers
github.comThe companion repository for a survey paper on agentic reinforcement learning for large language models, tabulating RL algorithms such as PPO, DPO, GRPO and their variants with objective type, mechanism and reward signal.
A continuously updated bibliography of papers and practical resources on medical large language models, built from a peer-reviewed survey covering how such models are built, evaluated, deployed clinically and challenged by real-world use.
Prompt-in-context-learning
egoalpha.comA daily-updated, curated collection of papers, prompt-engineering techniques, and getting-started guides for in-context learning and prompting large language models such as ChatGPT.
Awesome LLM Systems Papers
github.comA curated, continuously updated list of academic papers on large language model systems, tracking work on training, serving, agent systems and hardware co-design from 2024 through 2026.
Awesome Model Quantization
github.comA curated collection of papers, benchmarks, surveys and open-source implementations on neural network and model quantization, spanning binary and low-bit networks, post-training and quantization-aware training, large language models, and hardware-efficient deployment.
Awesome-GraphRAG
arxiv.orgA curated list of surveys, papers, benchmarks, and open-source projects on graph-based retrieval-augmented generation, organized around a published GraphRAG survey.
LLM Agents Papers
github.comA must-read paper list on large language model agents, organized by topic such as personality, memory, planning, tool use, reinforcement-learning training, and multi-agent communication.
Awesome Vision-Language Models
github.comThe companion repository for a systematic academic survey of vision-language models for visual recognition tasks, curating papers by pre-training method, transfer learning and application.
arxiv-mcp-server
pulsemcp.comA local MCP server for AI agents doing literature research on arXiv, reading original LaTeX sections one at a time, exporting BibTeX citations, and keeping topic watches.
Awesome-LLMs-for-Video-Understanding
github.comA curated survey and paper list on video understanding with large language models, covering models, training strategies, tasks, datasets and benchmarks.