Alternatives and similar repositories for planning_tokens

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

• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆25Updated 11 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
• UCSB-NLP-Chang / ThinkPrune
  ☆45Updated 2 months ago
• alon-albalak / online-data-mixing
  An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.
  ☆13Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆59Updated 6 months ago
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆52Updated last year
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆116Updated 6 months ago
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆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 …
  ☆26Updated this week
• GAIR-NLP / self-improvement-reversal
  ☆13Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆89Updated last week
• GeniusHTX / TALE
  ☆136Updated 2 months ago
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆125Updated last month
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆45Updated 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
• 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
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆116Updated 11 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆123Updated last year
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated last month
• Zanette-Labs / efficient-reasoning
  ☆67Updated 7 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆91Updated last month
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆132Updated 8 months ago
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆87Updated 9 months ago
• SeanLeng1 / Reward-Calibration
  ☆20Updated 11 months ago
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆52Updated 2 months ago
• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆123Updated 7 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆83Updated 8 months ago