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

• jwhj / OREO
  ☆109Updated 3 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Problem Solving with Minimal Examples
  ☆85Updated last month
• expz / quiet-star
  Implementation of the Quiet-STAR paper (https://arxiv.org/pdf/2403.09629.pdf)
  ☆53Updated 9 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆120Updated 8 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆134Updated 7 months ago
• THUDM / T1
  Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
  ☆101Updated 3 months ago
• QwenLM / ProcessBench
  ☆151Updated 4 months ago
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆59Updated 6 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆51Updated 2 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆139Updated 6 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆160Updated last year
• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆120Updated last year
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆57Updated 3 months ago
• SALT-NLP / demonstrated-feedback
  ☆120Updated 7 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆105Updated 4 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆94Updated last month
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆179Updated 2 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆64Updated 6 months ago
• ScalerLab / JudgeBench
  ☆72Updated 6 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 8 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆145Updated last month
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆107Updated 4 months ago
• GAIR-NLP / AIME-Preview
  ☆62Updated last month
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆138Updated 6 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆124Updated 10 months ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆105Updated 2 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"
  ☆141Updated 2 weeks ago
• HKUNLP / critic-rl
  Code for Paper: Teaching Language Models to Critique via Reinforcement Learning
  ☆94Updated 3 weeks ago
• FreedomIntelligence / OVM
  ☆66Updated last year