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☆58Updated 6 months ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 4 months ago
- Augmenting Statistical Models with Natural Language Parameters☆26Updated 8 months ago
- ☆40Updated last year
- Exploring the Limitations of Large Language Models on Multi-Hop Queries☆25Updated 3 months ago
- ☆29Updated last year
- ☆17Updated last year
- ☆67Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆16Updated last year
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆15Updated 2 years ago
- ☆34Updated last year
- ☆54Updated 2 weeks ago
- [COLM'24] "Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning"☆21Updated 11 months ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆21Updated last year
- LogicBench is a natural language question-answering dataset consisting of 25 different reasoning patterns spanning over propositional, fi…☆25Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆68Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆111Updated 8 months ago
- ☆14Updated last year
- ☆94Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆28Updated 4 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 7 months ago
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆18Updated 4 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆35Updated 3 weeks ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- Analyzing LLM Alignment via Token distribution shift☆16Updated last year
- ☆74Updated last year
- ☆38Updated 2 months ago
- GenRM-CoT: Data release for verification rationales☆61Updated 7 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year