Alternatives and similar repositories for LLM-Post-Training

Users that are interested in LLM-Post-Training are comparing it to the libraries listed below

• gydpku / Data_Synthesis_RL
  ☆96Updated 3 months ago
• SkyworkAI / Skywork-Reward-V2
  Scaling Preference Data Curation via Human-AI Synergy
  ☆100Updated last month
• Tencent / digitalhuman
  ☆122Updated this week
• InternLM / POLAR
  Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.
  ☆150Updated last month
• yongliang-wu / DFT
  [Preprint] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification.
  ☆392Updated last week
• GAIR-NLP / MAYE
  Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
  ☆138Updated 4 months ago
• yuelinan / Awesome-Efficient-R1-style-LRMs
  ☆27Updated 2 weeks ago
• testtimescaling / testtimescaling.github.io
  "what, how, where, and how well? a survey on test-time scaling in large language models" repository
  ☆63Updated this week
• BestAnHongjun / SentenceVAE
  Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
  ☆35Updated last year
• RM-R1-UIUC / RM-R1
  RM-R1: Unleashing the Reasoning Potential of Reward Models
  ☆127Updated 2 months ago
• EvolvingLMMs-Lab / multimodal-search-r1
  MMSearch-R1 is an end-to-end RL framework that enables LMMs to perform on-demand, multi-turn search with real-world multimodal search too…
  ☆296Updated last week
• cs-holder / Reasoning-Self-Evolution-Survey
  ☆50Updated 5 months ago
• yyht / openrlhf_async_pipline
  ☆74Updated 2 weeks ago
• dongxiangjue / Awesome-LLM-Self-Improvement
  A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large …
  ☆95Updated 8 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆41Updated 6 months ago
• MiniMax-AI / One-RL-to-See-Them-All
  The official repo of One RL to See Them All: Visual Triple Unified Reinforcement Learning
  ☆311Updated 3 months ago
• 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…
  ☆55Updated 2 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 6 months ago
• THUDM / Awesome-Parameter-Efficient-Fine-Tuning-for-Foundation-Models
  Parameter-Efficient Fine-Tuning for Foundation Models
  ☆88Updated 5 months ago
• lichengliu03 / unary-feedback
  ☆34Updated 2 weeks ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆87Updated last week
• lzhxmu / CPPO
  CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
  ☆149Updated 2 months ago
• MiroMindAI / MiroTrain
  MiroTrain is an efficient and algorithm-first framework for post-training large agentic models.
  ☆77Updated this week
• QwenLM / WorldPM
  ☆89Updated 3 months ago
• jindongli-Ai / LLM-Discrete-Tokenization-Survey
  The official GitHub page for the survey paper "Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey". And this paper is unde…
  ☆55Updated 3 weeks ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 8 months ago
• McGill-NLP / agent-reward-bench
  AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
  ☆35Updated 3 weeks ago
• THU-KEG / AdaptThink
  ☆147Updated 3 months ago
• princeton-nlp / CharXiv
  [NeurIPS 2024] CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
  ☆124Updated 4 months ago
• InternLM / OREAL
  Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
  ☆190Updated 5 months ago