Alternatives and similar repositories for Abacus

Users that are interested in Abacus are comparing it to the libraries listed below

• hzy312 / knowledge-r1
  IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
  ☆60Updated 2 months ago
• cs-holder / Reasoning-Self-Evolution-Survey
  ☆47Updated 4 months ago
• LLM360 / MegaMath
  [COLM 2025] An Open Math Pre-trainng Dataset with 370B Tokens.
  ☆95Updated 3 months ago
• MLGroup-JLU / LLM-data-aug-survey
  The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
  ☆127Updated last year
• LightChen233 / Awesome-Multilingual-LLM
  ☆105Updated 7 months ago
• LCLM-Horizon / A-Comprehensive-Survey-For-Long-Context-Language-Modeling
  A Comprehensive Survey on Long Context Language Modeling
  ☆163Updated last week
• shizhediao / Post-Training-Data-Flywheel
  We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.
  ☆57Updated 9 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆38Updated 4 months ago
• THUDM / ChatGLM-Math
  ☆83Updated last year
• DevoAllen / Awesome-Reasoning-Economy-Papers
  Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
  ☆110Updated last month
• xlang-ai / computer-agent-arena
  Computer Agent Arena: Test & compare AI agents in real desktop apps & web environments. Code/data coming soon!
  ☆45Updated 3 months ago
• RUC-NLPIR / HiRA
  The code for paper: Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search
  ☆47Updated 2 weeks ago
• koalazf99 / Awesome-DataCentric-LLM
  Trending projects & awesome papers about data-centric llm studies.
  ☆37Updated last month
• bigai-nlco / TokenSwift
  [ICML 2025] |TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation
  ☆110Updated last month
• SuperGPQA / SuperGPQA
  ☆155Updated 2 months ago
• Timothyxxx / KVCachePapers
  ☆20Updated last year
• KbsdJames / MATH-Minos
  The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…
  ☆38Updated 11 months ago
• modelscope / easydistill
  a toolkit on knowledge distillation for large language models
  ☆110Updated last week
• zwhe99 / DeepMath
  A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
  ☆228Updated last month
• Wu-Zongyu / Awesome-Large-Search-Models
  Awesome-Large-Search-Models is a collection of papers and resources (Methods, Datasets and other resources) about awesome agentic search …
  ☆110Updated 3 weeks ago
• dvlab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆50Updated 8 months ago
• dongguanting / FollowRAG
  The demo, code and data of FollowRAG
  ☆73Updated 2 weeks ago
• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆88Updated 3 months ago
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆102Updated 4 months ago
• zzz47zzz / awesome-lifelong-learning-methods-for-llm
  [ACM Computing Surveys 2025] This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Model…
  ☆140Updated last month
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated last month
• zhaochenyang20 / Prompt2Model-Self-Guide
  SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper
  ☆33Updated last year
• FlagOpen / Infinity-Instruct
  ☆48Updated last year
• LightChen233 / Awesome-LLM-for-NLP
  ☆99Updated last year
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆50Updated last month