17 papers
Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing
Yiming Liu, Ziyue Zhang, Zhichao Xu +4
Rewriting inputs to improve frozen downstream models has become a common strategy in modern NLP pipelines. Prior work on incremental dialogue discourse parsing (DDP) shows that sup…
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…
Sycophantic Praise: Evaluating Excessive Praise in Language Models
Daniel Vennemeyer, Phan Anh Duong, Meryl Ye +2
Sycophancy in language models is typically studied as excessive agreement or validation, while explicit praise and flattery have received comparatively little attention. We argue t…
Cross-Lingual Steering for Figurative Language Generation
Linfeng Liu, Tiffany Zhan, Louie Hong Yao +2
Multilingual large language models can generate figurative language, but whether the internal signals driving this behavior are language-specific or reusable across languages is un…
Do Emotions Influence Moral Judgment in Large Language Models?
Mohammad Saim, Tianyu Jiang
Large language models have been extensively studied for emotion recognition and moral reasoning as distinct capabilities, yet the extent to which emotions influence moral judgment…
Rhetorical Questions in LLM Representations: A Linear Probing Study
Louie Hong Yao, Vishesh Anand, Yuan Zhuang +1
Rhetorical questions are asked not to seek information but to persuade or signal stance. How large language models internally represent them remains unclear. We analyze rhetorical…