Zayne-sprague / To-CoT-or-not-to-CoTLinks
☆26Updated 3 months ago
Alternatives and similar repositories for To-CoT-or-not-to-CoT
Users that are interested in To-CoT-or-not-to-CoT are comparing it to the libraries listed below
Sorting:
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆59Updated last year
- A Sober Look at Language Model Reasoning☆75Updated 3 weeks ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- ☆46Updated 8 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆55Updated 2 weeks ago
- Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.☆22Updated 4 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆20Updated 5 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆124Updated 3 months ago
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆32Updated 2 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆60Updated 7 months ago
- Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆74Updated this week
- ☆19Updated 4 months ago
- Lightweight Adapting for Black-Box Large Language Models☆22Updated last year
- [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…☆45Updated 2 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆60Updated 7 months ago
- ☆34Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆27Updated 7 months ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated 10 months ago
- Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision☆16Updated 3 months ago
- ☆27Updated last year
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆67Updated 2 months ago
- [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models☆98Updated 11 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆77Updated 6 months ago
- ☆22Updated last year
- Official code implementation for the ACL 2025 paper: 'Dynamic Scaling of Unit Tests for Code Reward Modeling'☆22Updated last month
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆70Updated 2 weeks ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- [ACL 2024 main] Aligning Large Language Models with Human Preferences through Representation Engineering (https://aclanthology.org/2024.…☆25Updated 9 months ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year