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Justin D. Weisz

2 accepted papers

2025

Position: Theory of Mind Benchmarks are Broken for Large Language Models

ICML 2025poster

Our paper argues that the majority of theory of mind benchmarks are broken because of their inability to directly test how large language models (LLMs) adapt to new partners. This problem stems from the fact that theory of mind benchmarks for LLMs are overwhelmingly inspired by the methods used to t…

Cited by 0SourcePDFScholar
2025

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents

ACL 2025finding

Conversational agents are increasingly woven into individuals’ personal lives, yet users often underestimate the privacy risks associated with them. The moment users share information with these agents —such as large language models (LLMs)— their private information becomes vulnerable to exposure. I…