justincui03 / or-benchLinks
[ICML 2025] Official repository for paper "OR-Bench: An Over-Refusal Benchmark for Large Language Models"
☆21Updated 10 months ago
Alternatives and similar repositories for or-bench
Users that are interested in or-bench are comparing it to the libraries listed below
Sorting:
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆47Updated 9 months ago
- ☆22Updated 7 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆42Updated last week
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆68Updated last year
- ☆41Updated 2 years ago
- ☆46Updated last year
- ☆30Updated last year
- Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".☆80Updated last year
- ☆31Updated 2 years ago
- ☆51Updated 2 years ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆162Updated 7 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆123Updated 11 months ago
- Directional Preference Alignment☆58Updated last year
- NeurIPS'24 - LLM Safety Landscape☆38Updated 3 months ago
- ☆60Updated 2 years ago
- ☆32Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆40Updated 5 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆85Updated 10 months ago
- Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"☆42Updated last year
- ☆53Updated 9 months ago
- ☆22Updated 4 months ago
- Codebase for Inference-Time Policy Adapters☆24Updated 2 years ago
- Function Vectors in Large Language Models (ICLR 2024)☆190Updated 9 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆32Updated last year
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆84Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- ☆51Updated 2 years ago
- ☆16Updated last year
- Code repo for the model organisms and convergent directions of EM papers.☆42Updated 4 months ago
- ☆103Updated 2 years ago