Stars
The benchmark tasks and evaluation harness for "PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments".
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
FinRL®: Financial Reinforcement Learning. 🔥
One Discrete Word for Visual Reasoning Overtakes Agentic and Latent Methods
Automatically find issues in image datasets and practice data-centric computer vision.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Insightful Tutorials and Papers about Knowledge Graphs
Helixent is a small library for building ReAct-style AI agent loops based on the Bun stack.
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
[ICLR 2026] The official repository for paper "ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Benchmarking Benchmark Leakage in Large Language Models
Tongyi Deep Research, the Leading Open-source Deep Research Agent
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.
[ACL2025 demo track] ROGRAG: A Robustly Optimized GraphRAG Framework
DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策