Alternatives and similar repositories for Self-Rewarding-Language-Models

Users that are interested in Self-Rewarding-Language-Models are comparing it to the libraries listed below

• bespokelabsai / verifiers
  Verifiers for LLM Reinforcement Learning
  ☆79Updated 7 months ago
• thomasgauthier / LLM-self-play
  Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)
  ☆29Updated last year
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆51Updated last year
• sanyalsunny111 / LLM-Inheritune
  This is the official repository for Inheritune.
  ☆115Updated 9 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆112Updated 3 months ago
• dinobby / MAgICoRE
  ☆24Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated last year
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆64Updated 9 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• arcee-ai / DAM
  ☆55Updated last year
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)
  ☆72Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆48Updated 8 months ago
• SalesforceAIResearch / LaTRO
  ☆124Updated 8 months ago
• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆112Updated 5 months ago
• Oxen-AI / Self-Rewarding-Language-Models
  This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.
  ☆131Updated last year
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆78Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last month
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• menhguin / minp_paper
  Code Implementation, Evaluations, Documentation, Links and Resources for Min P paper
  ☆44Updated 3 months ago
• scottlogic-alex / prm800k-denorm
  Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format
  ☆27Updated 2 years ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• Tebmer / Rereading-LLM-Reasoning
  EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding for…
  ☆27Updated 11 months ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆90Updated 11 months ago
• CarperAI / autocrit
  A repository for transformer critique learning and generation
  ☆89Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆28Updated 10 months ago
• Zyphra / Zyda_processing
  ☆39Updated last year
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆31Updated 3 months ago