6 papers · 1 filter
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…
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exannaagent considers the values of itself and others when providing rationales for…
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
This paper introduces a novel approach, Decision Theory-guided Deep Reinforcement Learning (DT-guided DRL), to address the inherent cold start problem in DRL. By integrating decisi…
Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
A multiagent system is a society of autonomous agents whose interactions can be regulated via social norms. In general, the norms of a society are not hardcoded but emerge from the…