zjunlp / KnowledgeCircuitsLinks
[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
☆153Updated 6 months ago
Alternatives and similar repositories for KnowledgeCircuits
Users that are interested in KnowledgeCircuits are comparing it to the libraries listed below
Sorting:
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆176Updated 4 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 8 months ago
- Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)☆123Updated last month
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆124Updated 2 months ago
- Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering☆181Updated 6 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆127Updated 5 months ago
- This repository contains the code and data for the paper "SelfIE: Self-Interpretation of Large Language Model Embeddings" by Haozhe Chen,…☆50Updated 8 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 8 months ago
- PASTA: Post-hoc Attention Steering for LLMs☆122Updated 9 months ago
- ☆34Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆75Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆60Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆111Updated 7 months ago
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆114Updated last year
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆207Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆115Updated last year
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆71Updated 2 months ago
- Critique-out-Loud Reward Models☆70Updated 10 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆112Updated 8 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆170Updated 3 months ago
- [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?☆79Updated 7 months ago
- ☆187Updated 4 months ago
- ☆135Updated 9 months ago
- Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"☆110Updated 10 months ago
- ☆96Updated last year
- The Paper List on Data Contamination for Large Language Models Evaluation.☆99Updated this week
- ☆51Updated 4 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆164Updated last month
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 9 months ago