jamqd / Group-Preference-OptimizationLinks
☆23Updated last year
Alternatives and similar repositories for Group-Preference-Optimization
Users that are interested in Group-Preference-Optimization are comparing it to the libraries listed below
Sorting:
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆84Updated 9 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆88Updated 8 months ago
- ☆180Updated last year
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆78Updated 6 months ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆29Updated last year
- Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization☆38Updated last year
- LLM Unlearning☆178Updated 2 years ago
- Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective☆34Updated 10 months ago
- Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).☆15Updated last year
- ☆66Updated 9 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆93Updated last year
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆59Updated last year
- A resource repository for representation engineering in large language models☆143Updated last year
- ☆31Updated 9 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆78Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆125Updated last year
- ☆42Updated last year
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆48Updated last year
- Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)☆32Updated 11 months ago
- ☆46Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆85Updated last year
- awesome SAE papers☆66Updated 6 months ago
- Code for Representation Bending Paper☆14Updated 5 months ago
- Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples☆44Updated 4 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- ☆103Updated 2 years ago
- Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation☆20Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆84Updated last year
- ☆38Updated 2 years ago
- ☆29Updated last year