Alternatives and similar repositories for HumanEval-V-Benchmark

Users that are interested in HumanEval-V-Benchmark are comparing it to the libraries listed below

• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆95Updated 8 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 5 months ago
• GeniusHTX / TALE
  ☆140Updated 3 months ago
• rookie-joe / AutoPSV
  ☆51Updated last year
• likaixin2000 / MMCode
  [EMNLP 2024] Multi-modal reasoning problems via code generation.
  ☆27Updated 10 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆89Updated last month
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆45Updated 4 months ago
• Gen-Verse / CURE
  [NeurIPS 2025 Spotlight] Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
  ☆143Updated 3 months ago
• zzzhr97 / SpecBench
  ☆22Updated last month
• KodCode-AI / code-r1
  Reproducing R1 for Code with Reliable Rewards
  ☆12Updated 8 months ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆63Updated last year
• zhaochen0110 / Cotempqa
  Code and data for "Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?" (ACL 2024)
  ☆32Updated last year
• ssmisya / PRMBench
  [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
  ☆85Updated 10 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
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆61Updated 6 months ago
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆23Updated 2 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆72Updated 5 months ago
• SIMONLQY / RethinkMCTS
  ☆30Updated last year
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆50Updated 5 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆84Updated 8 months ago
• xyliu-cs / RISE
  [NeurIPS'25] Official Implementation of RISE (Reinforcing Reasoning with Self-Verification)
  ☆30Updated 4 months ago
• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆25Updated 11 months ago
• Kwai-Klear / RLEP
  RL with Experience Replay
  ☆51Updated 4 months ago
• lukahhcm / Awesome_Environment_Scaling
  Resources and paper list for 'Scaling Environments for Agents'. This repository accompanies our survey on how environments contribute to …
  ☆45Updated this week
• MJ-Bench / MJ-Bench
  Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"
  ☆48Updated 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
• limenlp / verl
  AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
  ☆49Updated 6 months ago
• amazon-science / llm-code-preference
  Training and Benchmarking LLMs for Code Preference.
  ☆37Updated last year
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆134Updated 9 months ago