LzVv123456 / I2CLLinks
☆39Updated last year
Alternatives and similar repositories for I2CL
Users that are interested in I2CL are comparing it to the libraries listed below
Sorting:
- A Sober Look at Language Model Reasoning☆86Updated 3 weeks ago
- A curated list of resources on Reinforcement Learning with Verifiable Rewards (RLVR) and the reasoning capability boundary of Large Langu…☆70Updated last week
- ☆25Updated 7 months ago
- ☆41Updated last year
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆33Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- ☆129Updated 7 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆121Updated 7 months ago
- A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large …☆96Updated 10 months ago
- ☆51Updated last year
- ☆31Updated 5 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆33Updated 8 months ago
- ☆52Updated 6 months ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆39Updated last year
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆115Updated 2 months ago
- ☆30Updated last year
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆123Updated this week
- Test-time-training on nearest neighbors for large language models☆46Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆124Updated last year
- 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
- ☆208Updated 4 months ago
- Code for "Variational Reasoning for Language Models"☆51Updated last month
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 3 months ago
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆35Updated last year
- Exploration of automated dataset selection approaches at large scales.☆48Updated 7 months ago
- Lightweight Adapting for Black-Box Large Language Models☆23Updated last year
- ☆18Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 10 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆130Updated 7 months ago
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆75Updated 4 months ago