activity
20202026
most citedA Design Space for Intelligent and Interactive Writing Assistants

132 citations · 192 across the 28 of their papers we have counts for

collaborators

31 papers

cs.CY2026

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…

cs.CL2026

Explain Like I'm 5 or Whatever I Choose: Evaluating the Potential for Interactive Complexity in Language Model Responses

Indu Panigrahi, Tal August

Given the increased use of large language models (LLMs) for reading and seeking information and the varying needs and backgrounds of users, direct manipulation of text can be a val…

cs.CL2026

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…

cs.CL2026

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…

cs.HC2026

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…

cs.AI2026

SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers

Keyang Xuan, Pengda Wang, Chongrui Ye +3

Large language models (LLMs) are increasingly evaluated in interactive environments to test their social intelligence. However, existing benchmarks often assume idealized communica…

cs.HC2026

From Crafting Text to Crafting Thought: Grounding AI Writing Support to Writing Center Pedagogy

Yijun Liu, John Gallagher, Sarah Sterman +1

As AI writing tools evolve from fixing surface errors to creating language with writers, new capabilities raise concerns about negative impacts on student writers, such as replacin…

cs.HC2026

Living Contracts: Beyond Document-Centric Interaction with Legal Agreements

Ziheng Huang, Robin Kar, Hari Sundaram +1

User interaction with legal contracts has been limited to document reading, which is often complicated by complex, ambiguous legal language. We explore possible futures where contr…

cs.AI2026

MultiSessionCollab: Learning User Preferences with Memory to Improve Long-Term Collaboration

Shuhaib Mehri, Priyanka Kargupta, Tal August +1

As conversational agents accumulate experience collaborating with users, adapting to user preferences is essential for fostering long-term relationships and improving collaboration…

cs.CY2025

On the Regulatory Potential of User Interfaces for AI Agent Governance

K. J. Kevin Feng, Tae Soo Kim, Rock Yuren Pang +3

AI agents that take actions in their environment autonomously over extended time horizons require robust governance interventions to curb their potentially consequential risks. Pri…

cs.HC2025★ 2 cited

Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency

Michelle Huang, Violeta J. Rodriguez, Koustuv Saha +1

Limited English proficiency (LEP) patients in the U.S. face systemic barriers to healthcare beyond language and interpreter access, encompassing procedural and institutional constr…

cs.HC2025

Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation

Yiren Liu, Viraj Shah, Sangho Suh +3

Recent advances in multi-agent systems (MAS) enable tools for information search and ideation by assigning personas to agents. However, how users can effectively control, steer, an…

cs.HC2025★ 1 cited

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…

cs.CL2025

Research Borderlands: Analysing Writing Across Research Cultures

Shaily Bhatt, Tal August, Maria Antoniak

Improving cultural competence of language technologies is important. However most recent works rarely engage with the communities they study, and instead rely on synthetic setups a…

cs.HC2025

TermSight: Making Service Contracts Approachable

Ziheng Huang, Tal August, Hari Sundaram

Legal contracts govern much of our society, but their specialized language is difficult for non-experts to read. While AI has enabled simplification of complex language, legal cont…

cs.AI2025

Uncertainty in Action: Confidence Elicitation in Embodied Agents

Tianjiao Yu, Vedant Shah, Muntasir Wahed +4

Expressing confidence is challenging for embodied agents navigating dynamic multimodal environments, where uncertainty arises from both perception and decision-making processes. We…

cs.CL2025

Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields

Hang Jiang, Tal August, Luca Soldaini +2

The field of Computer science (CS) has rapidly evolved over the past few decades, providing computational tools and methodologies to various fields and forming new interdisciplinar…

cs.CL2025

Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis

Priyanka Kargupta, Ishika Agarwal, Tal August +1

With the exponential growth of research facilitated by modern technology and improved accessibility, scientific discoveries have become increasingly fragmented within and across fi…

cs.HC2024

Cocoa: Co-Planning and Co-Execution with AI Agents

K. J. Kevin Feng, Kevin Pu, Matt Latzke +6

As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel interaction designs that enable deeper…

cs.CL2024

Mathfish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Li Lucy, Tal August, Rose E. Wang +3

To ensure that math curriculum is grade-appropriate and aligns with critical skills or concepts in accordance with educational standards, pedagogical experts can spend months caref…

cs.HC2024★ 132 cited

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…

cs.HC2024

Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience

Tal August, Kyle Lo, Noah A. Smith +1

Language models (LMs) show promise as tools for communicating science to the general public by simplifying and summarizing complex language. Because models can be prompted to gener…

cs.CL2024★ 2 cited

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

Hang Jiang, Xiajie Zhang, Robert Mahari +8

Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are ofte…

cs.CL2023★ 3 cited

Personalized Jargon Identification for Enhanced Interdisciplinary Communication

Yue Guo, Joseph Chee Chang, Maria Antoniak +4

Scientific jargon can impede researchers when they read materials from other domains. Current methods of jargon identification mainly use corpus-level familiarity indicators (e.g.,…