Alternatives and similar repositories for Self-Explore

Users that are interested in Self-Explore are comparing it to the libraries listed below

• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆76Updated 6 months ago
• MattYoon / reasoning-models-confidence
  [NeurIPS 2025] Reasoning Models Better Express Their Confidence"
  ☆21Updated 2 weeks ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆52Updated 3 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated last month
• FreedomIntelligence / OVM
  ☆68Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆124Updated last year
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆37Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• Zhiyuan-Zeng / EvalTree
  [COLM 2025] EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
  ☆28Updated 4 months ago
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆111Updated 2 years ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆68Updated 9 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆58Updated last year
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆31Updated last year
• liziniu / GEM
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆48Updated 6 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated last year
• roeehendel / icl_task_vectors
  ☆102Updated 2 years ago
• 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
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 7 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆63Updated last year
• Zayne-sprague / MuSR
  ☆56Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆123Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆66Updated last year
• lmarena / PPE
  ☆59Updated 6 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated 2 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• ScalerLab / JudgeBench
  ☆105Updated last year