12 citations · 35 across the 15 of their papers we have counts for
14 papers · 1 filter
REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation
Dong-Ho Lee, Adyasha Maharana, Jay Pujara +2
Long-term, open-domain dialogue capabilities are essential for chatbots aiming to recall past interactions and demonstrate emotional intelligence (EI). Yet, most existing research…
Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations
Dong-Ho Lee, Hyundong Cho, Jonathan May +1
Asking good questions is critical for comprehension and learning, yet evaluating and generating such questions remains a challenging problem. Prior work on inquisitive questions fo…
Making Large Language Models Better Data Creators
Dong-Ho Lee, Jay Pujara, Mohit Sewak +2
Although large language models (LLMs) have advanced the state-of-the-art in NLP significantly, deploying them for downstream applications is still challenging due to cost, responsi…
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju +9
"Thinking is for Doing." Humans can infer other people's mental states from observations--an ability called Theory-of-Mind (ToM)--and subsequently act pragmatically on those infere…
Finding Pragmatic Differences Between Disciplines
Lee Kezar, Jay Pujara
Scholarly documents have a great degree of variation, both in terms of content (semantics) and structure (pragmatics). Prior work in scholarly document understanding emphasizes sem…
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
Pei Zhou, Hyundong Cho, Pegah Jandaghi +4
Human communication relies on common ground (CG), the mutual knowledge and beliefs shared by participants, to produce coherent and interesting conversations. In this paper, we demo…