1 citations · 1 across the 8 of their papers we have counts for
8 papers
Right vs. Right: Can LLMs Make Tough Choices?
Jiaqing Yuan, Pradeep K. Murukannaiah, Munindar P. Singh
An ethical dilemma describes a choice between two "right" options involving conflicting moral values. We present a comprehensive evaluation of how LLMs navigate ethical dilemmas. S…
Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media
Jiaqing Yuan, Ruijie Xi, Munindar P. Singh
Stance detection is crucial for fostering a human-centric Web by analyzing user-generated content to identify biases and harmful narratives that undermine trust. With the developme…
A Benchmark for Cross-Domain Argumentative Stance Classification on Social Media
Jiaqing Yuan, Ruijie Xi, Munindar P. Singh
Argumentative stance classification plays a key role in identifying authors' viewpoints on specific topics. However, generating diverse pairs of argumentative sentences across vari…
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
Jiaqing Yuan, Lin Pan, Chung-Wei Hang +5
Large language models (LLMs) have shown remarkable performance on a variety of NLP tasks, and are being rapidly adopted in a wide range of use cases. It is therefore of vital impor…
Wise in Vaccine Allocation
Baiqiao Yin, Jiaqing Yuan, Weichen Lv +2
The paper uses machine learning and mathematical modeling to predict future vaccine distribution and solve the problem of allocating vaccines to different types of hospitals. They…
CoSiNES: Contrastive Siamese Network for Entity Standardization
Jiaqing Yuan, Michele Merler, Mihir Choudhury +3
Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base. The unique challenge of this task relative to other entity-related tasks is…
Conversation Modeling to Predict Derailment
Jiaqing Yuan, Munindar P. Singh
Conversations among online users sometimes derail, i.e., break down into personal attacks. Such derailment has a negative impact on the healthy growth of cyberspace communities. Th…
Extracting Incidents, Effects, and Requested Advice from MeToo Posts
Vaibhav Garg, Jiaqing Yuan, Rujie Xi +1
Survivors of sexual harassment frequently share their experiences on social media, revealing their feelings and emotions and seeking advice. We observed that on Reddit, survivors r…