zchuz

zchuz's Stars

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.3k2282653.1k

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.5k961471.2k

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell10.3k64874637

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

  5.4k869296

• THUDM/GLM-4

  GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

  Language:Python5.4k34569444

• QwenLM/Qwen2.5-Coder

  Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Python3.1k32114210

• DefTruth/Awesome-LLM-Inference

  📖A curated list of Awesome LLM/VLM Inference Papers with codes, such as FlashAttention, PagedAttention, Parallelism, etc. 🎉🎉

  2.9k926199

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.7k1530159

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2.1k824535

• AkariAsai/self-rag

  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

  Language:Python1.9k1784172

• laekov/fastmoe

  A fast MoE impl for PyTorch

  Language:Python1.6k13121189

• openreasoner/openr

  OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

  Language:Python1.1k72981

• deepseek-ai/DeepSeek-Math

  DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

  Language:Python849132952

• princeton-nlp/SimPO

  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward

  Language:Python73187450

• DmitryRyumin/AAAI-2024-Papers

  AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

  Language:Python4498020

• hao-ai-lab/Consistency_LLM

  [ICML 2024] CLLMs: Consistency Large Language Models

  Language:Python35891018

• THUDM/ReST-MCTS

  ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)

  Language:Python3503924

• zepingyu0512/awesome-llm-understanding-mechanism

  awesome papers in LLM interpretability

  33510111

• HqWu-HITCS/Awesome-LLM-Survey

  An Awesome Collection for LLM Survey

  31113031

• dvlab-research/Step-DPO

  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"

  Language:Python2912229

• YuxiXie/MCTS-DPO

  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.

  Language:Jupyter Notebook2071524

• cooperleong00/Awesome-LLM-Interpretability

  A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..

  178218

• HITsz-TMG/awesome-llm-attributions

  A Survey of Attributions for Large Language Models

  170548

• lancopku/label-words-are-anchors

  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

  Language:Python15322813

• wjn1996/Awesome-LLM-Reasoning-Openai-o1-Survey

  The related works and background techniques about Openai o1

  151206

• sail-sg/sdft

  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".

  Language:Shell1006164

• kyegomez/Lets-Verify-Step-by-Step

  "Improving Mathematical Reasoning with Process Supervision" by OPENAI

  Language:Python83317

• LightChen233/M3CoT

  Language:Python46252

• joykirat18/How-To-Think-Step-by-Step

  How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

  Language:Jupyter Notebook17101

• LaVi-Lab/LongContextReasoner

  [ACL 2024] Making Long-Context Language Models Better Multi-Hop Reasoners

  Language:Python11100