6 papers
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh
Successful human-agent teaming relies on an agent being able to understand instructions given by a (human) principal. In many cases, an instruction may be incomplete or ambiguous.…
Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Den…
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…
Gricean Norms as a Basis for Effective Collaboration
Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh
Effective human-AI collaboration hinges not only on the AI agent's ability to follow explicit instructions but also on its capacity to navigate ambiguity, incompleteness, invalidit…
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…
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…