WANGXinyiLinda / planning_tokens
Official code for Guiding Language Model Math Reasoning with Planning Tokens
☆11Updated last year
Alternatives and similar repositories for planning_tokens:
Users that are interested in planning_tokens are comparing it to the libraries listed below
- ☆59Updated 6 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆101Updated this week
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆24Updated 3 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆56Updated 11 months ago
- ☆48Updated last month
- ☆12Updated 8 months ago
- Codebase for Instruction Following without Instruction Tuning☆33Updated 6 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆44Updated last month
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆55Updated last month
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆98Updated last week
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆16Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆36Updated 11 months ago
- The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…☆29Updated 4 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆55Updated 3 months ago
- ☆13Updated 8 months ago
- FeatureAlignment = Alignment + Mechanistic Interpretability☆28Updated 2 weeks ago
- BeHonest: Benchmarking Honesty in Large Language Models☆31Updated 7 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆73Updated 9 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆33Updated 8 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆47Updated 2 weeks ago
- ☆76Updated this week
- Our research proposes a novel MoGU framework that improves LLMs' safety while preserving their usability.☆14Updated 2 months ago
- ☆17Updated 3 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆26Updated 6 months ago
- The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…☆14Updated last year
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment☆16Updated 3 months ago
- M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆55Updated 3 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 6 months ago
- This the implementation of LeCo☆32Updated 2 months ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆48Updated 10 months ago