Alternatives and similar repositories for Awesome-LLM-reasoning

Users that are interested in Awesome-LLM-reasoning are comparing it to the libraries listed below

• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆132Updated last year
• zorazrw / awesome-tool-llm
  ☆239Updated last year
• hyintell / awesome-refreshing-llms
  EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
  ☆134Updated last year
• Hannibal046 / xRAG
  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
  ☆152Updated last year
• OpenMatch / ActiveRAG
  This is the code repo for our paper "Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents".
  ☆108Updated 10 months ago
• zjunlp / AutoAct
  [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
  ☆229Updated 8 months ago
• NingMiao / SelfCheck
  Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>
  ☆49Updated 2 years ago
• kyegomez / Lets-Verify-Step-by-Step
  "Improving Mathematical Reasoning with Process Supervision" by OPENAI
  ☆113Updated this week
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆135Updated 11 months ago
• TIGER-AI-Lab / Program-of-Thoughts
  Data and Code for Program of Thoughts [TMLR 2023]
  ☆285Updated last year
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆122Updated 7 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆119Updated last year
• zjunlp / WKM
  [NeurIPS 2024] Agent Planning with World Knowledge Model
  ☆148Updated 9 months ago
• SqueezeAILab / LLM2LLM
  [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
  ☆189Updated last year
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆103Updated 9 months ago
• BrendanGraham14 / mcts-llm
  ☆129Updated last year
• chenyiqun / MMOA-RAG
  This is the code of MMOA-RAG.
  ☆74Updated 4 months ago
• FreedomIntelligence / ReasoningNLP
  paper list on reasoning in NLP
  ☆191Updated 5 months ago
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆247Updated 4 months ago
• zjunlp / WorfBench
  [ICLR 2025] Benchmarking Agentic Workflow Generation
  ☆126Updated 7 months ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆245Updated last year
• yueyu1030 / AttrPrompt
  [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
  ☆153Updated last year
• zhangxjohn / LLM-Agent-Benchmark-List
  A banchmark list for evaluation of large language models.
  ☆140Updated last week
• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆139Updated 10 months ago
• zhiyuanhubj / UoT
  [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
  ☆102Updated last year
• xz-liu / GraphEval
  Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
  ☆33Updated last year
• DataArcTech / LLM-as-a-Judge
  ☆133Updated 6 months ago
• Anni-Zou / Meta-CoT
  Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
  ☆97Updated last year
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆149Updated 10 months ago
• WENGSYX / Self-Verification
  We have released the code and demo program required for LLM with self-verification
  ☆63Updated last year