Jiacheng-Zhu-AIML / AsymmetryLoRALinks
Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
☆35Updated last year
Alternatives and similar repositories for AsymmetryLoRA
Users that are interested in AsymmetryLoRA are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 3 months ago
- Rewarded soups official implementation☆58Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 9 months ago
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆38Updated last year
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆39Updated 4 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆114Updated 4 months ago
- ☆15Updated 11 months ago
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆72Updated last month
- ☆35Updated 7 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆47Updated 9 months ago
- A Sober Look at Language Model Reasoning☆81Updated last month
- ☆51Updated last year
- Test-time-training on nearest neighbors for large language models☆45Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆74Updated 4 months ago
- ☆28Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆66Updated 4 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆103Updated 3 weeks ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆103Updated 2 years ago
- ☆31Updated last year
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆38Updated 5 months ago
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆35Updated last month
- ☆18Updated 8 months ago
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated last week
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆81Updated 4 months ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆35Updated 3 months ago
- ☆31Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 9 months ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆81Updated 9 months ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆56Updated last year