Papers by Jiayang Ao

2 papers
XToM: Exploring the Multilingual Theory of Mind for Large Language Models (2026.acl-long)

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Challenge: Existing evaluations of ToM in LLMs are limited to English, neglecting the linguistic diversity that shapes human cognition.
Approach: They propose a multilingual benchmark that evaluates ToM across five languages . they find that models excel in multilingual language understanding, but their ToM performance varies across languages.
Outcome: The proposed benchmark evaluates LLMs across five languages and incorporates diverse task scenarios.
Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task (2025.findings-acl)

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Challenge: Existing AVR benchmarks focus on single-step reasoning, emphasizing the end result but neglecting the multi-stage nature of reasoning process.
Approach: They propose a multi-stage AVR benchmark based on RAVEN to assess reasoning across varying levels of complexity.
Outcome: The proposed metric considers the correctness of intermediate steps in addition to the final outcomes.

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