WANGXinyiLinda / LM_random_walkLinks
Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
☆20Updated last year
Alternatives and similar repositories for LM_random_walk
Users that are interested in LM_random_walk are comparing it to the libraries listed below
Sorting:
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆60Updated 7 months ago
- ☆40Updated last year
- ☆17Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 5 months ago
- LogicBench is a natural language question-answering dataset consisting of 25 different reasoning patterns spanning over propositional, fi…☆27Updated last year
- The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…☆29Updated 7 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆59Updated 8 months ago
- ☆39Updated 3 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆121Updated 9 months ago
- ☆34Updated last year
- ☆29Updated last year
- ☆67Updated last year
- Exploring the Limitations of Large Language Models on Multi-Hop Queries☆25Updated 3 months ago
- ☆55Updated last month
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆19Updated 5 months ago
- Augmenting Statistical Models with Natural Language Parameters☆27Updated 9 months ago
- ☆10Updated 7 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated 3 months ago
- ☆74Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆26Updated last year
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆30Updated last year
- ☆14Updated last year
- ☆51Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆16Updated last year
- GenRM-CoT: Data release for verification rationales☆61Updated 8 months ago
- ☆27Updated 2 years ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆37Updated last week
- ☆22Updated 10 months ago
- ☆98Updated last year