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Rowan Wang

2 accepted papers

2026

Introspection Adapters: Training LLMs to Report Their Learned Behaviors

ICML 2026poster

Can we train LLMs to *introspect*, i.e. to faithfully describe their own behaviors in natural language? Prior work has shown some, limited, success. However, it is difficult to scale introspection training due to a lack of ground-truth labels. In this work, we study an approach to introspection trai…

Cited by 0SourceScholar
2025

Tamper-Resistant Safeguards for Open-Weight LLMs

ICLR 2025poster

Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks that modify model weights. For example, recent works…