robust adaptation
- Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
- Parameter Dynamics of Online Machine Learning and Test-time Adaptation
- Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
- Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation