collaborators

5 papers

cs.CL2026

Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction

Zhuangzhuang Pan, Yan Xia, Chee Seng Chan

Emotion-Cause Pair Extraction (ECPE) requires identifying the causes associated with emotions expressed in a conversation. Accurate extraction can depend on evidence that is not in…

cs.CL2026

Hidden Consensus:Preference-Validity Compression in Human Feedback

Dorcas Chia Ern Chua, Karen Myn Hui Lee, Jia Yue Tan +9

Standard RLHF pipelines often reduce heterogeneous human judgments into a single scalar reward target. We argue that this reduction can mis-measure alignment in structurally plural…

cs.CL2026

They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations

Zhuangzhuang Pan, Yan Xia, Chee Seng Chan

Emotion-Cause Pair Extraction (ECPE) was introduced to explain why an emotion occurs, but this goal is now often reduced to binary pair/non-pair prediction. This proxy is useful fo…

cs.CL2026

Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis

Yan Xia, Zhuangzhuang Pan, Amirrudin Kamsin +1

Aspect-Term Sentiment Analysis (ATSA) in multi-aspect sentences faces a fundamental tradeoff between efficiency and expressiveness. Existing models either re-encode the sentence fo…

cs.CV2024

VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models

Harshit, Tolga Tasdizen

The recent developments in deep learning led to the integration of natural language processing (NLP) with computer vision, resulting in powerful integrated Vision and Language Mode…