most citedCHEER-Ekman: Fine-grained Embodied Emotion Classification

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cs.CL2026

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…

cs.CL2026

Objective Matters: Fine-Tuning Objectives Shape Safety, Robustness, and Persona Drift

Daniel Vennemeyer, Punya Syon Pandey, Phan Anh Duong +2

Fine-tuning LLMs on benign data can still degrade alignment and adversarial robustness, yet direct analysis of the role of fine-tuning objectives in shaping these safety outcomes r…

cs.CL2025

Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models

Mohammad Saim, Phan Anh Duong, Cat Luong +2

The embodiment of emotional reactions from body parts contains rich information about our affective experiences. We propose a framework that utilizes state-of-the-art large vision-…

cs.CL20251 cited

Sycophancy Is Not One Thing: Causal Separation of Sycophantic Behaviors in LLMs

Daniel Vennemeyer, Phan Anh Duong, Tiffany Zhan +1

Large language models (LLMs) often exhibit sycophantic behaviors -- such as excessive agreement with or flattery of the user -- but it is unclear whether these behaviors arise from…

cs.CL20251 cited

CHEER-Ekman: Fine-grained Embodied Emotion Classification

Phan Anh Duong, Cat Luong, Divyesh Bommana +1

Emotions manifest through physical experiences and bodily reactions, yet identifying such embodied emotions in text remains understudied. We present an embodied emotion classificat…