← Search

Mingxian Wang

2 accepted papers

2026

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models

ICML 2026poster

Large language models can memorize information that must be removed--ranging from copyright-sensitive content (e.g., book chapters) to personally identifiable information (e.g., income)--to ensure responsible and compliant behavior. Unlearning has emerged as an efficient alternative to full retraini…

Cited by 0SourceScholar
2026

LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?

ICLR 2026poster

Despite multilingual pretraining, large language models often struggle with non-English tasks, particularly in language control--the ability to respond in the intended language. We identify and characterize two key failure modes: the *multilingual transfer bottleneck* (correct language, incorrect ta…

Cited by 0SourceScholar