Analysis of reasoning errors in vision language models and how they impact user trust and the ability to detect errors highlights how CoT explanations can simultaneously clarify and mislead, underscoring the need for NLP systems to provide explanations that encourage scrutiny and critical thinking rather than blind tru...
Eunkyu Park, Wesley Hanwen Deng, Vasudha Varadarajan et al.· arXiv.org· 6 citations
The need to develop translation technologies that directly serve translators' needs rather than replacing human translation can be done by focusing more on the assistive tools that emphasize the uncertain, social, and ultimately human character of translation, rather than automation.
Daniel Chechelnitsky, Sireesh Gururaja, Seyi Olojo et al.· Proceedings of the AAAI/ACM...· 0 citations
Cognitive Chain-of-Thought (CoCoT) is introduced, a reasoning framework that structures vision-language-model reasoning through three cognitively inspired stages: Perception, Situation, and Norm, showing that structuring model reasoning through cognitively grounded stages enhances interpretability and social alignment,...
Eunkyu Park, Wesley Hanwen Deng, Gunhee Kim et al.· 3 citations
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