activity
20222026
most citedPHEE: A Dataset for Pharmacovigilance Event Extraction from Text

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Why It Hurts: Identifying the Drivers of Negative Thoughts in Emotional Support Conversations

Hainiu Xu, Zhaoyue Sun, Hanqi Yan +3

Large Language Models (LLMs) are increasingly used for emotional support tasks, such as negative thought reframing. This task relies on modifying cognitive appraisals, the subjecti…

cs.AI2026

CAREBench: Evaluating LLMs' Emotion Understanding by Assessing Cognitive Appraisal Reasoning

Zhaoyue Sun, Hainiu Xu, Andero Uusberg +3

Emotion understanding is a core capability for LLMs to interact effectively with humans, yet existing evaluation paradigms rely on discrete emotion label prediction and fail to cap…

cs.CL2024

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +1

Predicting unknown drug-drug interactions (DDIs) is crucial for improving medication safety. Previous efforts in DDI prediction have typically focused on binary classification or p…

cs.HC2024

DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information

Artem Bobrov, Domantas Saltenis, Zhaoyue Sun +2

Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and…

cs.CL2024

Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring

Jiazheng Li, Hainiu Xu, Zhaoyue Sun +4

Generating rationales that justify scoring decisions has been a promising way to facilitate explainability in automated scoring systems. However, existing methods do not match the…

cs.CL20241 cited

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study

Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace +1

With the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications. This research aims to investigate the abilit…