-
Harbin Institute of Technology
- No.92 West Dazhi Street, Nan Gang District, Harbin, Heilongjiang Province, China Address in Chinese
-
12:15
(UTC +08:00) - http://www.hit.edu.cn/
Lists (1)
Sort Name ascending (A-Z)
Stars
A Python package that uses task-based neurons to build neural networks.
A minimal implementation of Agentic RAG using GRPO
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
[ICML 2026] Official resources of "Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning".
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
[ACL 2026] CoCoA: Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
SePer is an accurate / fast / free-of-API metric to measure document quality via information gain
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
awesome papers in LLM interpretability
[ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
[ICML 2025] "From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium"
Official code for the paper: DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models
[ACL 2025] GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
MedEmbed is a collection of embedding models fine-tuned specifically for medical and clinical data.
🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Medical o1, Towards medical complex reasoning with LLMs
👀 Train a 65M-parameter VLM from scratch in just 2h!
🧠 Train a 64M-parameter LLM from scratch in just 2h!
[TMLR 2025] Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Paper list for Efficient Reasoning.
[NeurIPS 2024] The implementation of paper "On Softmax Direct Preference Optimization for Recommendation"
[CVPR2025 Highlight] Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models