1 citations · 1 across the 8 of their papers we have counts for
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From Propositional to Perceptual Asymmetry: Extending Frictive Policy Optimization to Asymmetric Partial Information Dialogue
Yifan Zhu, Kyeongmin Rim, James Pustejovsky
Frictive Policy Optimization (FPO; Pustejovsky et al., 2025) treats friction in collaborative dialogue -- misalignment, misunderstanding, repair -- as an epistemic signal essential…
Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment
James Pustejovsky, Nikhil Krishnaswamy
We propose Frictive Policy Optimization (FPO), a framework for learning language model policies that regulate not only what to say, but when and how to intervene in order to manage…
Dynamic Epistemic Friction in Dialogue
Timothy Obiso, Kenneth Lai, Abhijnan Nath +2
Recent developments in aligning Large Language Models (LLMs) with human preferences have significantly enhanced their utility in human-AI collaborative scenarios. However, such app…
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
Hannah VanderHoeven, Brady Bhalla, Ibrahim Khebour +11
We present TRACE, a novel system for live *common ground* tracking in situated collaborative tasks. With a focus on fast, real-time performance, TRACE tracks the speech, actions, g…
Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Derek Palmer, Yifan Zhu, Kenneth Lai +8
Our goal is to develop an AI Partner that can provide support for group problem solving and social dynamics. In multi-party working group environments, multimodal analytics is cruc…
Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind
Iris Oved, Nikhil Krishnaswamy, James Pustejovsky +1
We offer philosophical motivations for a method we call Virtual World Cognitive Science (VW CogSci), in which researchers use virtual embodied agents that are embedded in virtual w…
Common Ground Tracking in Multimodal Dialogue
Ibrahim Khebour, Kenneth Lai, Mariah Bradford +8
Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of t…