Alternatives and similar repositories for DUMP

Users that are interested in DUMP are comparing it to the libraries listed below

• UCSB-NLP-Chang / ThinkPrune
  ☆45Updated last month
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆47Updated 4 months ago
• aeroplanepaper / GRPO-LEAD
  ☆30Updated 2 months ago
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆23Updated last month
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆122Updated 7 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆135Updated 4 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆87Updated this week
• euclid-multimodal / Euclid
  ☆17Updated 10 months ago
• eric-ai-lab / MSSBench
  [ICLR 2025] Official codebase for the ICLR 2025 paper "Multimodal Situational Safety"
  ☆30Updated 4 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆69Updated 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
• MJ-Bench / MJ-Bench
  Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"
  ☆49Updated 5 months ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆48Updated last year
• TIGER-AI-Lab / Hierarchical-Reasoner
  Emergent Hierarchical Reasoning in LLMs/VLMs through Reinforcement Learning
  ☆48Updated 3 weeks ago
• ShadeCloak / ADORA
  ☆46Updated 7 months ago
• sail-sg / ActivePRM
  ☆19Updated 7 months ago
• kokolerk / TON
  [NeurIPS 2025] Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
  ☆48Updated last month
• limenlp / verl
  AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
  ☆47Updated 5 months ago
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆39Updated 2 months ago
• yunfeixie233 / ViGaL
  ☆62Updated last month
• ChnQ / TracingLLM
  ☆30Updated last year
• shiqichen17 / VLM_Merging
  Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)
  ☆81Updated last month
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆36Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆46Updated last year
• test-time-interaction / TTI
  ☆64Updated 5 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆67Updated 4 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 7 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆63Updated 11 months ago
• bigai-nlco / LatentSeek
  Official Repository of LatentSeek
  ☆68Updated 5 months ago
• 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 3 weeks ago