Alternatives and similar repositories for Lets-Verify-Step-by-Step

Users that are interested in Lets-Verify-Step-by-Step are comparing it to the libraries listed below

• expz / quiet-star
  Implementation of the Quiet-STAR paper (https://arxiv.org/pdf/2403.09629.pdf)
  ☆54Updated 11 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆108Updated 5 months ago
• jwhj / OREO
  ☆114Updated 5 months ago
• da03 / implicit_chain_of_thought
  ☆135Updated 8 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆100Updated last month
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆102Updated 2 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆67Updated 8 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆109Updated 7 months ago
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆63Updated 8 months ago
• architsharma97 / dpo-rlaif
  ☆98Updated last year
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆49Updated 8 months ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆146Updated 8 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆145Updated 8 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated last year
• ScalerLab / JudgeBench
  ☆87Updated 8 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 11 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆162Updated 2 months ago
• da03 / Internalize_CoT_Step_by_Step
  ☆181Updated 2 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆154Updated 4 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆138Updated 9 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆74Updated 3 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 10 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆60Updated 7 months ago
• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆129Updated last year
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆98Updated 4 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆163Updated last week
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆58Updated 4 months ago
• xingyaoww / mint-bench
  Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…
  ☆126Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆74Updated last month
• SALT-NLP / demonstrated-feedback
  ☆124Updated 9 months ago