31 citations · 58 across the 30 of their papers we have counts for
9 papers · 1 filter
Beyond Local Surprise: Grounded Dialogue as Selective Belief Revision under Referential Uncertainty
Ziming Liu, Bhanu Chaitanya Jasti, Ziyang Xu +3
When a speaker refers to a scene that the listener cannot directly see, the listener must decide whether to preserve its current understanding or revise it as new utterances arrive…
Search or Chat? Comparing How We Learn About Debated Topics
Ran Yu, Alisa Rieger, Rabia Karatoprak Ersen +1
As large language models (LLMs) become more integrated into everyday information platforms, chat-based systems are emerging as a popular alternative to traditional web searches, es…
Experiences Build Characters: The Linguistic Origins and Functional Impact of LLM Personality
Xi Wang, Mengdie Zhuang, Jiqun Liu
Human problem-solving is enriched by a diversity of styles and personality traits, yet the development of Large Language Models (LLMs) has largely prioritized uniform performance b…
Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
Victor De Lima, Jiqun Liu, Grace Hui Yang
AI systems increasingly shape how individuals access and evaluate information, intensifying concerns about misinformation. Computational simulation offers a controlled complement t…
ECHO: An Open Research Platform for Evaluation of Chat, Human Behavior, and Outcomes
Jiqun Liu, Nischal Dinesh, Ran Yu
ECHO (Evaluation of Chat, Human behavior, and Outcomes) is an open research platform designed to support reproducible, mixed-method studies of human interaction with both conversat…
Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI
Jiangen He, Jiqun Liu
Conversational AI systems increasingly function as primary interfaces for information seeking, yet how they present sources to support information evaluation remains under-explored…
Bounded Minds, Generative Machines: Envisioning Conversational AI that Works with Human Heuristics and Reduces Bias Risk
Jiqun Liu
Conversational AI is rapidly becoming a primary interface for information seeking and decision making, yet most systems still assume idealized users. In practice, human reasoning i…
Re-Rankers as Relevance Judges
Chuan Meng, Jiqun Liu, Mohammad Aliannejadi +3
Using large language models (LLMs) to predict relevance judgments has shown promising results. Most studies treat this task as a distinct research line, e.g., focusing on prompt de…
Judging with Personality and Confidence: A Study on Personality-Conditioned LLM Relevance Assessment
Nuo Chen, Hanpei Fang, Piaohong Wang +3
Recent studies have shown that prompting can enable large language models (LLMs) to simulate specific personality traits and produce behaviors that align with those traits. However…