Alternatives and similar repositories for RL-Verifier-Robustness

Users that are interested in RL-Verifier-Robustness are comparing it to the libraries listed below

• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 11 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• sail-sg / ActivePRM
  ☆19Updated 7 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆69Updated 4 months ago
• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆25Updated 11 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• rookie-joe / AutoPSV
  ☆51Updated last year
• GAIR-NLP / self-improvement-reversal
  ☆13Updated last year
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• kiaia / GIRAFFE
  Extending context length of visual language models
  ☆12Updated 11 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆45Updated 7 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆63Updated last year
• nishadsinghi / sc-genrm-scaling
  [COLM 2025] Official code for "When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoni…
  ☆13Updated last month
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆45Updated 4 months ago
• hkust-nlp / GUIMid
  ☆21Updated 7 months ago
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆30Updated last year
• rhyang2021 / ARIA
  Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".
  ☆25Updated 4 months ago
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆48Updated 4 months ago
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆60Updated 6 months ago
• yayayacc / MUR
  ☆46Updated 2 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 2 months ago
• test-time-interaction / TTI
  ☆66Updated 6 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆64Updated 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
• lukahhcm / Awesome_Environment_Scaling
  Resources and paper list for 'Scaling Environments for Agents'. This repository accompanies our survey on how environments contribute to …
  ☆29Updated last week
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆71Updated 4 months ago
• Kwai-Klear / RLEP
  RL with Experience Replay
  ☆50Updated 4 months ago
• thu-coai / BARREL
  ☆16Updated 6 months ago