3 papers
cs.CL2026
Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
Xinwei Wu, Haojie Li, Hongyu Liu +4
In this work, we study a critical research problem regarding the trustworthiness of large language models (LLMs): how LLMs behave when encountering ambiguous narrative text, with a…
cs.CV2025
Zooming into Comics: Region-Aware RL Improves Fine-Grained Comic Understanding in Vision-Language Models
Yule Chen, Yufan Ren, Sabine Süsstrunk
Complex visual narratives, such as comics, present a significant challenge to Vision-Language Models (VLMs). Despite excelling on natural images, VLMs often struggle with stylized…
eess.AS2025
TAU: A Benchmark for Cultural Sound Understanding Beyond Semantics
Yi-Cheng Lin, Yu-Hua Chen, Jia-Kai Dong +12
Large audio-language models are advancing rapidly, yet most evaluations emphasize speech or globally sourced sounds, overlooking culturally distinctive cues. This gap raises a crit…