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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

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.CL20261 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.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.CL2025

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…