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20192024
most citedClever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models

37 citations · 132 across the 17 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 1 cited

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

Hyunwoo Kim, Melanie Sclar, Xuhui Zhou +4

Theory of mind (ToM) evaluations currently focus on testing models using passive narratives that inherently lack interactivity. We introduce FANToM, a new benchmark designed to str…

cs.AI2023★ 12 cited

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory

Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou +4

The interactive use of large language models (LLMs) in AI assistants (at work, home, etc.) introduces a new set of inference-time privacy risks: LLMs are fed different types of inf…

cs.AI2023★ 4 cited

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Xuhui Zhou, Hao Zhu, Leena Mathur +8

Humans are social beings; we pursue social goals in our daily interactions, which is a crucial aspect of social intelligence. Yet, AI systems' abilities in this realm remain elusiv…

cs.AI2023★ 29 cited

WebArena: A Realistic Web Environment for Building Autonomous Agents

Shuyan Zhou, Frank F. Xu, Hao Zhu +9

With advances in generative AI, there is now potential for autonomous agents to manage daily tasks via natural language commands. However, current agents are primarily created and…

cs.CL2023★ 1 cited

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements

Xuhui Zhou, Hao Zhu, Akhila Yerukola +4

Warning: This paper contains content that may be offensive or upsetting. Understanding the harms and offensiveness of statements requires reasoning about the social and situational…

cs.CL2023★ 37 cited

Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models

Natalie Shapira, Mosh Levy, Seyed Hossein Alavi +5

The escalating debate on AI's capabilities warrants developing reliable metrics to assess machine "intelligence". Recently, many anecdotal examples were used to suggest that newer…

cs.CL2023

Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting

Akhila Yerukola, Xuhui Zhou, Elizabeth Clark +1

Most existing stylistic text rewriting methods and evaluation metrics operate on a sentence level, but ignoring the broader context of the text can lead to preferring generic, ambi…