7 papers
Cross-Lingual Steering for Figurative Language Generation
Linfeng Liu, Tiffany Zhan, Louie Hong Yao +2
Cross-lingual activation steering has been studied mainly for language-agnostic properties such as factual knowledge and reasoning. Its transferability remains unclear for figurati…
Exploring Concreteness Through a Figurative Lens
Saptarshi Ghosh, Tianyu Jiang
Static concreteness ratings are widely used in NLP, yet a word's concreteness can shift with context, especially in figurative language such as metaphor, where common concrete noun…
MetFuse: Figurative Fusion between Metonymy and Metaphor
Saptarshi Ghosh, Tianyu Jiang
Metonymy and metaphor often co-occur in natural language, yet computational work has studied them largely in isolation. We introduce a framework that transforms a literal sentence…
A Computational Approach to Visual Metonymy
Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang
Images often communicate more than they literally depict: a set of tools can suggest an occupation and a cultural artifact can suggest a tradition. This kind of indirect visual ref…
JE-IRT: A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory
Louie Hong Yao, Nicholas Jarvis, Tiffany Zhan +3
Standard LLM evaluation practices compress diverse abilities into single scores, obscuring their inherently multidimensional nature. We present JE-IRT, a geometric item-response fr…
Evaluating the Impact of Verbal Multiword Expressions on Machine Translation
Linfeng Liu, Saptarshi Ghosh, Tianyu Jiang
Verbal multiword expressions (VMWEs) remain difficult for machine translation because their meanings are often not recoverable from their component words. In this study, we analyze…
ConMeC: A Dataset for Metonymy Resolution with Common Nouns
Saptarshi Ghosh, Tianyu Jiang
Metonymy plays an important role in our daily communication. People naturally think about things using their most salient properties or commonly related concepts. For example, by s…