Prompt-Robust Language Models: Which Training Strategies Work?
Published in Findings of EMNLP 2026, 2026
We reproduce and compare prompt-robustness training strategies under controlled conditions and diagnose why they fall short.
Published in Findings of EMNLP 2026, 2026
We reproduce and compare prompt-robustness training strategies under controlled conditions and diagnose why they fall short.
Published in COLM 2026, 2026
A benchmark of over 600 collaborative coding tasks, showing that state-of-the-art coding agents succeed less often when they work together than when they work alone.
Published in SKILL24, 2024
We investigate how multi-model tuning affects the interpretability and transferability of soft prompts. Best paper award at SKILL 2024.
Published in Arxiv, 2024
We evaluate the annotation quality of different labeling sources on a custom task.