1 citations · 1 across the 6 of their papers we have counts for
21 papers
From Words to Widgets for Controllable LLM Generation
Chao Zhang, Yiren Liu, Lunyiu Nie +3
Natural language remains the predominant way people interact with large language models (LLMs). However, users often struggle to precisely express and control subjective preference…
Who Plays Which Role When? Communication Role Dynamics for Peer Recognition and Team Performance Prediction
Yifan Song, Wenxuan Wendy Shi, Brian P Bailey +1
Team roles offer an interpretable lens on collaboration, yet computational studies of roles often rely on domain-specific personas or data-driven clustering rather than theory-grou…
Breaking the Curse of Knowledge: Designing Personalized Jargon Support for Real-Time Online Meetings
Yifan Song, Yijun Liu, Wing Yee Au +3
Cross-disciplinary communication is often hindered by specialized language (i.e., jargon) and uneven background knowledge. Recent advances in speech-to-text and large language mode…
Explain Like I'm 5 or Whatever I Choose: Evaluating the Interactive Potential of Language Model Responses
Indu Panigrahi, Tal August
Evaluations of large language models (LLMs) in scientific information seeking tasks have become increasingly use-centric, such as conducting live or multi-turn evaluations with rea…
Re-Centering Humans in LLM Personalization
Lechen Zhang, Jiarui Liu, Tal August
Despite growing interest, most evaluations of large language models' (LLMs') personalization abilities have relied on synthetic data. It remains unclear how well current personaliz…
FOXGLOVE: Understanding Goal-Oriented and Anchored Writing Feedback from Experts and LLMs on Argumentative Essays
Yijun Liu, Yifan Song, John Gallagher +2
While large language models (LLMs) are increasingly used to generate writing feedback, there remains no systematic comparison of LLM and expert feedback on the dimensions that writ…