Language Interaction Lab

We are the Language Interaction Lab at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign.

We work at the intersection of Natural Language Processing and Human-Computer Interaction. We design human-centric AI systems that make it easier for more people to communicate, share and understand expert knowledge. This includes evaluating the ability of AI to communicate complex concepts to diverse audiences and building interactive tools that augment how people read, write, and listen in knowledge-intensive fields like medicine, law, and science.

News & Updates

Our Team

Tal August

Tal August

Lab Director

Yiren Liu

Yiren Liu

PhD Candidate

Ziheng (Fred) Huang

Ziheng (Fred) Huang

PhD Candidate

Yifan Song

Yifan Song

PhD Candidate

Yijun Liu

Yijun Liu

PhD Candidate

Michelle Huang

Michelle Huang

PhD Candidate

Indu Panigrahi

Indu Panigrahi

PhD Student

Lechen Zhang

Lechen Zhang

PhD Student

Leo Luo

Leo Luo

MS Student

Alice Fan

Alice Fan

Undergraduate Student

Sneha Sundar

Sneha Sundar

Undergraduate Student

Publications

2026

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

Indu Panigrahi, Tal August

ArXiv 2026 Preprint

Re-Centering Humans in LLM Personalization

Lechen Zhang, Jiarui Liu, Tal August

ArXiv 2026 Preprint

FOXGLOVE: Understanding Goal-Oriented and Anchored Writing Feedback from Experts and LLMs on Argumentative Essays

Yijun Liu, Yifan Song, John Gallagher, Sarah Sterman, Tal August

ArXiv 2026 Preprint

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

Yijun Liu, John Gallagher, Sarah Sterman, Tal August

CHI 2026

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

Yiren Liu, Viraj Shah, Sangho Suh, Pao Siangliulue, Tal August, Yun Huang

CHI 2026

Living Contracts: Beyond Document-Centric Interaction with Legal Agreements

Ziheng Huang, Hari Sundaram, Tal August

CHI 2026

TermSight: Making Service Contracts Approachable

Ziheng Huang, Tal August, Hari Sundaram

CHI 2026

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

Michelle Huang, Violeta J. Rodríguez, Koustuv Saha, Tal August

CHI 2026

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

K. J. Kevin Feng, Kevin Pu, Matt Latzke, Tal August, Pao Siangliulue, Jonathan Bragg, Daniel S. Weld, Amy X. Zhang, Joseph Chee Chang

CHI 2026

Learning User Preferences Through Interaction for Long-Term Collaboration

Shuhaib Mehri, Priyanka Kargupta, Tal August, Dilek Hakkani-Tür

ArXiv 2026 Preprint

2025

Research Borderlands: Analysing Writing Across Research Cultures

Shaily Bhatt, Tal August, Maria Antoniak

ACL 2025

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

Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han

ACL 2025

Personalized Real-time Jargon Support for Online Meetings

Yifan Song, Wing Yee Au, Hon Yung Wong, Brian P Bailey, Tal August

ArXiv 2025 Preprint

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

Hang Jiang, Tal August, Luca Soldaini, Kyle Lo, Maria Antoniak

ArXiv 2025 Preprint

On the Regulatory Potential of User Interfaces for AI Agent Governance

Kevin Feng, Tae Soo Kim, Rock Yuren Pang, Faria Huq, Tal August, Amy X Zhang

NeurIPS Workshop on Regulatable ML 2025 Workshop

Uncertainty in Action: Confidence Elicitation in Embodied Agents

Tianjiao Yu, Vedant Shah, Muntasir Wahed, Kiet A. Nguyen, Adheesh Juvekar, Tal August, Ismini Lourentzou

ArXiv 2025 Preprint

2024

Know Your Audience: The Benefits and Pitfalls of Generating Plain Language Summaries Beyond the "General" Audience

Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke

CHI 2024

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, et al. (incl. Tal August)

CHI 2024

Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries

Raymond Fok, Joseph Chee Chang, Tal August, Amy X Zhang, Daniel S Weld

UIST 2024

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Jad Kabbara, Deb Roy

ACL 2024

Personalized Jargon Identification for Enhanced Interdisciplinary Communication

Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, Tal August

NAACL 2024

Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo

EMNLP Findings 2024

APPLS: A Meta-evaluation Testbed for Plain Language Summarization

Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang

EMNLP 2024

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head, et al. (incl. Tal August)

Communications of the ACM 2024

2023

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing

Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo

ACM TOCHI 2023

How Language Formality in Security and Privacy Interfaces Impacts Intended Compliance

Jackson Stokes, Tal August, Robert A Marver, Alexei Czeskis, Franziska Roesner, Tadayoshi Kohno, Katharina Reinecke

CHI 2023

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks

Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David Sontag

In2Writing Workshop 2023 Workshop

2022

Generating Scientific Definitions with Controllable Complexity

Tal August, Katharina Reinecke, Noah A. Smith

ACL 2022

Detecting Urgency in Multilingual Medical SMS in Kenya

Narshion Ngao, Zeyu Wang, Lawrence Nderu, Tobias Mwalili, Tal August, Keshet Ronen

AACL Student Research Workshop 2022 Workshop

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Blog Posts

Who Is Personalization Actually For? Re-Centering Humans in LLM Personalization

June 15, 2026 · Lechen Zhang

A blog post about our paper, “Re-Centering Humans in LLM Personalization”

How do you have an AI help you write without writing for you?

April 10, 2026 · Yijun Liu

A common model for AI writing support is straightforward: paste your draft, receive a better one. We noticed this resembles a failure mode that universities dealt with decades ago, specifically in writing centers, places where students will go to receive...

TermSight: Making Service Contracts Approachable

April 8, 2026 · Ziheng (Fred) Huang

We regularly click “Agree” to Terms of Service (ToS) that quietly govern our data and rights, such as when purchasing a ticket online from disney, signing up for reddit, or requesting ride with Uber. Increasingly, the U.S. count considers these...

Living Contracts: Beyond Document-Centric Interaction with Legal Agreements

April 8, 2026 · Ziheng (Fred) Huang

We regularly sign legal contracts for where we live, who we work with, and the services we use. However, our interaction with legal contracts has largely been limited to document reading, an experience often complicated by extended, complex, and ambiguous...

Re-Designing Persona-Driven Deep Research System to Encourage User Critical Thinking

March 31, 2026 · Yiren Liu

Research studies have been increasingly arguing for concerns over reducing critical thinking skills in knowledge workers. In the context of scientific research, the use of deep research systems for tasks like literature review and research ideation are also becoming increasingly...

Better translation won't improve health AI for immigrants. Here's what they actually need.

March 31, 2026 · Michelle Huang

Imagine going to the doctor in a country where you don’t speak the language well. The doctor uses an AI translation app to communicate with you, but maybe you only notice the awkward grammar in the translation. Or worse, you...

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Lab Life