EmpathYang / ADEPTLinks
Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
☆15Updated 11 months ago
Alternatives and similar repositories for ADEPT
Users that are interested in ADEPT are comparing it to the libraries listed below
Sorting:
- ☆29Updated last year
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆84Updated last year
- ☆41Updated last year
- Code for Representation Bending Paper☆12Updated 4 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆83Updated 8 months ago
- ☆25Updated 5 months ago
- ☆180Updated last year
- Augmenting Statistical Models with Natural Language Parameters☆29Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆86Updated 7 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆66Updated 11 months ago
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆47Updated 11 months ago
- ☆21Updated last year
- ☆38Updated 2 years ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆86Updated last year
- ☆156Updated 2 years ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆27Updated last year
- ☆57Updated 2 years ago
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆59Updated last year
- ☆29Updated 8 months ago
- ☆51Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 8 months ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆21Updated 2 years ago
- ☆28Updated last year
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆136Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 3 years ago
- ☆17Updated 2 years ago
- LoFiT: Localized Fine-tuning on LLM Representations☆43Updated 10 months ago