Leveraging advances in natural language processing to better understand Tobler's first law of geography. - Toby Jia-Jun Li; Shilad Sen; Brent J. Hecht (SIGSPATIAL/GIS, 2014)

WikiBrain: Democratizing computation on Wikipedia. - Shilad Sen; Toby Jia-Jun Li; WikiBrain Team; Brent J. Hecht (OpenSym, 2014)

Not at Home on the Range: Peer Production and the Urban/Rural Divide. - Isaac L. Johnson; Yilun Lin 001; Toby Jia-Jun Li; Andrew Hall; Aaron Halfaker; Johannes Schöning; Brent J. Hecht (CHI, 2016)

Making End User Development More Natural. - Brad A. Myers; Amy J. Ko; Chris Scaffidi; Stephen Oney; YoungSeok Yoon; Kerry Shih-Ping Chang; Mary Beth Kery; Toby Jia-Jun Li (New Perspectives in End-User Development, 2017)

SUGILITE: Creating Multimodal Smartphone Automation by Demonstration. - Toby Jia-Jun Li; Amos Azaria; Brad A. Myers (CHI, 2017)

Programming IoT Devices by Demonstration Using Mobile Apps. - Toby Jia-Jun Li; Yuanchun Li; Fanglin Chen; Brad A. Myers (IS-EUD, 2017)

End user mobile task automation using multimodal programming by demonstration. - Toby Jia-Jun Li (VL/HCC, 2017)

PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps. - Yuanchun Li; Fanglin Chen; Toby Jia-Jun Li; Yao Guo 001; Gang Huang 001; Matthew Fredrikson; Yuvraj Agarwal; Jason I. Hong (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Kite: Building Conversational Bots from Mobile Apps. - Toby Jia-Jun Li; Oriana Riva (MobiSys, 2018)

APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. - Toby Jia-Jun Li; Igor Labutov; Xiaohan Nancy Li; Xiaoyi Zhang 006; Wenze Shi; Wanling Ding; Tom M. Mitchell; Brad A. Myers (VL/HCC, 2018)

How End Users Express Conditionals in Programming by Demonstration for Mobile Apps. - Marissa Radensky; Toby Jia-Jun Li; Brad A. Myers (VL/HCC, 2018)

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. - Toby Jia-Jun Li; Igor Labutov; Brad A. Myers; Amos Azaria; Alexander I. Rudnicky; Tom M. Mitchell (Studies in Conversational UX Design, 2018)

End user programing of intelligent agents using demonstrations and natural language instructions. - Toby Jia-Jun Li (IUI Companion, 2019)

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. - Toby Jia-Jun Li; Marissa Radensky; Justin Jia; Kirielle Singarajah; Tom M. Mitchell; Brad A. Myers (UIST, 2019)

Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. - Toby Jia-Jun Li; Tom M. Mitchell; Brad A. Myers (ACL (demo), 2020)

Multi-Modal Interactive Task Learning from Demonstrations and Natural Language Instructions. - Toby Jia-Jun Li (UIST (Adjunct Volume), 2020)

Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. - Toby Jia-Jun Li; Jingya Chen; Haijun Xia; Tom M. Mitchell; Brad A. Myers (UIST, 2020)

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications. - Ritam Jyoti Sarmah; Yunpeng Ding; Di Wang; Cheuk Yin Phipson Lee; Toby Jia-Jun Li; Xiang 'Anthony' Chen (UIST, 2020)

Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. - Toby Jia-Jun Li; Jingya Chen; Tom M. Mitchell; Brad A. Myers (CoRR, 2020)

Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems. - Toby Jia-Jun Li; Jingya Chen; Brandon Canfield; Brad A. Myers (Proc. ACM Hum. Comput. Interact., 2020)

Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. - Toby Jia-Jun Li; Lindsay Popowski; Tom M. Mitchell; Brad A. Myers (CHI, 2021)

A Need-finding Study for Understanding Text Entry in SmartphoneApp Usage. - Toby Jia-Jun Li; Brad A. Myers (CoRR, 2021)

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. - Bingsheng Yao; Dakuo Wang; Tongshuang Wu; Tran Bao Hoang; Branda Sun; Toby Jia-Jun Li; Mo Yu; Ying Xu (CoRR, 2021)

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. - Ying Xu; Dakuo Wang; Mo Yu; Daniel Ritchie; Bingsheng Yao; Tongshuang Wu; Zheng Zhang 043; Toby Jia-Jun Li; Nora Bradford; Branda Sun; Tran Bao Hoang; Yisi Sang; et al. (ACL (1), 2022)

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. - Bingsheng Yao; Dakuo Wang; Tongshuang Wu; Zheng Zhang 043; Toby Jia-Jun Li; Mo Yu; Ying Xu (ACL (1), 2022)

Computational Approaches for Understanding, Generating, and Adapting User Interfaces. - Yue Jiang 002; Yuwen Lu; Jeffrey Nichols 001; Wolfgang Stuerzlinger; Chun Yu; Christof Lutteroth; Yang Li 058; Ranjitha Kumar; Toby Jia-Jun Li (CHI Extended Abstracts, 2022)

Bridging the Gap Between UX Practitioners' Work Practices and AI-Enabled Design Support Tools. - Yuwen Lu; Chengzhi Zhang; Iris Zhang; Toby Jia-Jun Li (CHI Extended Abstracts, 2022)

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. - Zheng Zhang 043; Ying Xu; Yanhao Wang; Bingsheng Yao; Daniel Ritchie; Tongshuang Wu; Mo Yu; Dakuo Wang; Toby Jia-Jun Li (CHI, 2022)

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality. - Toby Jia-Jun Li; Yuwen Lu; Jaylexia Clark; Meng Chen; Victor V. Cox; Meng Jiang 001; Yang Yang 008; Tamara Kay; Danielle M. Wood; Jay Brockman (CHIWORK, 2022)

AI as an Active Writer: Interaction Strategies with Generated Text in Human-AI Collaborative Fiction Writing 56-65. - Daijin Yang; Yanpeng Zhou; Zhiyuan Zhang; Toby Jia-Jun Li; Ray LC (IUI Workshops, 2022)

KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction. - Shao Zhang; Yuting Jia; Hui Xu 011; Dakuo Wang; Toby Jia-Jun Li; Ying Wen 001; Xinbing Wang; Chenghu Zhou (CoRR, 2022)

The Future of Computational Approaches for Understanding and Adapting User Interfaces. - Yue Jiang 002; Yuwen Lu; Christof Lutteroth; Toby Jia-Jun Li; Jeffrey Nichols 001; Wolfgang Stuerzlinger (CHI Extended Abstracts, 2023)

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis. - Simret Araya Gebreegziabher; Zheng Zhang 043; Xiaohang Tang; Yihao Meng; Elena L. Glassman; Toby Jia-Jun Li (CHI, 2023)

CollabCoder: A GPT-Powered WorkFlow for Collaborative Qualitative Analysis. - Jie Gao; Yuchen Guo; Toby Jia-Jun Li; Simon Tangi Perrault (CSCW Companion, 2023)

Designing for AI-Powered Social Computing Systems. - Gionnieve Lim; Hyunwoo Kim; Yoonseo Choi; Toby Jia-Jun Li; Chinmay Kulkarni 001; Hariharan Subramonyam; Joseph Seering; Michael S. Bernstein; Amy X. Zhang; Elena L. Glassman; Simon T. Perrault; Juho Kim 001 (CSCW Companion, 2023)

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. - Hong Shen 004; Tianshi Li 001; Toby Jia-Jun Li; Joon Sung Park; Diyi Yang (CSCW Companion, 2023)

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. - Yuan Tian; Zheng Zhang 043; Zheng Ning; Toby Jia-Jun Li; Jonathan K. Kummerfeld; Tianyi Zhang 001 (EMNLP, 2023)

SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions. - Nitesh Goyal; Sungsoo Ray Hong; Regan L. Mandryk; Toby Jia-Jun Li; Kurt Luther; Dakuo Wang (IUI Companion, 2023)

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries. - Zheng Ning; Zheng Zhang 043; Tianyi Sun; Yuan Tian; Tianyi Zhang 001; Toby Jia-Jun Li (IUI, 2023)

Modeling Programmer Attention as Scanpath Prediction. - Aakash Bansal; Chia-Yi Su; Zachary Karas; Yifan Zhang; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (ASE, 2023)

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. - Zheng Zhang 043; Jie Gao; Ranjodh Singh Dhaliwal; Toby Jia-Jun Li (UIST, 2023)

PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data. - Zheng Zhang 043; Zheng Ning; Chenliang Xu; Yapeng Tian; Toby Jia-Jun Li (UIST, 2023)

CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis. - Jie Gao; Yuchen Guo; Gionnieve Lim; Tianqin Zhang; Zheng Zhang 043; Toby Jia-Jun Li; Simon Tangi Perrault (CoRR, 2023)

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. - Yuan Tian; Toby Jia-Jun Li; Jonathan K. Kummerfeld; Tianyi Zhang 001 (CoRR, 2023)

Empowering LLM to use Smartphone for Intelligent Task Automation. - Hao Wen 004; Yuanchun Li; Guohong Liu 002; Shanhui Zhao; Tao Yu; Toby Jia-Jun Li; Shiqi Jiang; Yunhao Liu 001; Yaqin Zhang; Yunxin Liu 001 (CoRR, 2023)

Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding. - Jie Gao; Junming Cao; ShunYi Yeo; Kenny Tsu Wei Choo; Zheng Zhang 043; Toby Jia-Jun Li; Shengdong Zhao 001; Simon Tangi Perrault (CoRR, 2023)

An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. - Chaoran Chen; Weijun Li; Wenxin Song; Yanfang Ye 001; Yaxing Yao; Toby Jia-Jun Li (CoRR, 2023)

Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. - Sangho Suh; Meng Chen; Bryan Min; Toby Jia-Jun Li; Haijun Xia (CoRR, 2023)

UI Layout Generation with LLMs Guided by UI Grammar. - Yuwen Lu; Ziang Tong; Qinyi Zhao; Chengzhi Zhang; Toby Jia-Jun Li (CoRR, 2023)

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks. - Yuxuan Lu 003; Bingsheng Yao; Shao Zhang; Yun Wang; Peng Zhang 060; Tun Lu; Toby Jia-Jun Li; Dakuo Wang (CoRR, 2023)

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos. - Zheng Ning; Zheng Zhang 043; Jerrick Ban; Kaiwen Jiang; Ruohong Gan; Yapeng Tian; Toby Jia-Jun Li (Creativity & Cognition, 2024)

CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents. - Ruyuan Wan; Simret Araya Gebreegziabher; Toby Jia-Jun Li; Karla Badillo-Urquiola (Creativity & Cognition, 2024)

Computational Methodologies for Understanding, Automating, and Evaluating User Interfaces. - Yue Jiang 002; Yuwen Lu; Tiffany Knearem; Clara E. Kliman-Silver; Christof Lutteroth; Toby Jia-Jun Li; Jeffrey Nichols 001; Wolfgang Stuerzlinger (CHI Extended Abstracts, 2024)

An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. - Chaoran Chen; Weijun Li; Wenxin Song; Yanfang Ye 001; Yaxing Yao; Toby Jia-Jun Li (CHI, 2024)

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration. - Jie Gao; Simret Araya Gebreegziabher; Kenny Tsu Wei Choo; Toby Jia-Jun Li; Simon Tangi Perrault; Thomas W. Malone (CHI Extended Abstracts, 2024)

CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models. - Jie Gao; Yuchen Guo; Gionnieve Lim; Tianqin Zhang; Zheng Zhang 043; Toby Jia-Jun Li; Simon Tangi Perrault (CHI, 2024)

SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers. - Zheng Ning; Brianna L. Wimer; Kaiwen Jiang; Keyi Chen 008; Jerrick Ban; Yapeng Tian; Yuhang Zhao 001; Toby Jia-Jun Li (CHI, 2024)

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. - Sangho Suh; Meng Chen; Bryan Min; Toby Jia-Jun Li; Haijun Xia (CHI, 2024)

Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI. - Mirjana Prpa; Giovanni Maria Troiano; Bingsheng Yao; Toby Jia-Jun Li; Dakuo Wang; Hansu Gu (CSCW Companion, 2024)

CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. - Ningzhi Tang; Junwen An; Meng Chen; Aakash Bansal; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (ICSE Companion, 2024)

AutoDroid: LLM-powered Task Automation in Android. - Hao Wen 004; Yuanchun Li; Guohong Liu 002; Shanhui Zhao; Tao Yu; Toby Jia-Jun Li; Shiqi Jiang; Yunhao Liu 001; Yaqin Zhang; Yunxin Liu 001 (MobiCom, 2024)

MOCHA: Model Optimization through Collaborative Human-AI Alignment. - Simret Araya Gebreegziabher; Elena L. Glassman; Toby Jia-Jun Li (UIST (Adjunct Volume), 2024)

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. - Yuan Tian; Jonathan K. Kummerfeld; Toby Jia-Jun Li; Tianyi Zhang 001 (UIST, 2024)

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking. - Ningzhi Tang; Meng Chen; Zheng Ning; Aakash Bansal; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (VL/HCC, 2024)

AI Assistance for UX: A Literature Review Through Human-Centered AI. - Yuwen Lu; Yuewen Yang; Qinyi Zhao; Chengzhi Zhang; Toby Jia-Jun Li (CoRR, 2024)

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions. - Ningzhi Tang; Meng Chen; Zheng Ning; Aakash Bansal; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (CoRR, 2024)

Crepe: A Mobile Screen Data Collector Using Graph Query. - Yuwen Lu; Meng Chen; Qi Zhao; Victor V. Cox; Yang Yang 008; Meng Jiang 001; Jay Brockman; Tamara Kay; Toby Jia-Jun Li (CoRR, 2024)

Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows. - Yuwen Lu; Ziang Tong; Qinyi Zhao; Yewon Oh; Bryan Wang; Toby Jia-Jun Li (CoRR, 2024)

Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation. - Annalisa Szymanski; Simret Araya Gebreegziabher; Oghenemaro Anuyah; Ronald A. Metoyer; Toby Jia-Jun Li (CoRR, 2024)

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. - Chaoran Chen; Leyang Li; Luke Cao; Yanfang Ye 001; Tianshi Li 001; Yaxing Yao; Toby Jia-Jun Li (CoRR, 2024)

ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM. - Songheng Zhang; Lei Wang 185; Toby Jia-Jun Li; Qiaomu Shen; Yixin Cao; Yong Wang 021 (CoRR, 2024)

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI. - Long Ling; Xinyi Chen; Ruoyu Wen; Toby Jia-Jun Li; Ray LC (Proc. ACM Hum. Comput. Interact., 2024)

From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX. - Yuwen Lu; Chao Zhang 082; Yuewen Yang; Yaxing Yao; Toby Jia-Jun Li (Proc. ACM Hum. Comput. Interact., 2024)

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. - Yifan Zhang; Jiliang Li; Zachary Karas; Aakash Bansal; Toby Jia-Jun Li; Collin McMillan; Kevin Leach; Yu Huang 015 (Proc. ACM Softw. Eng., 2024)

A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization. - Zachary Karas; Aakash Bansal; Yifan Zhang; Toby Jia-Jun Li; Collin McMillan; Yu Huang 015 (ACM Trans. Softw. Eng. Methodol., 2024)

Insights into Natural Language Database Query Errors: from Attention Misalignment to User Handling Strategies. - Zheng Ning; Yuan Tian; Zheng Zhang 043; Tianyi Zhang 001; Toby Jia-Jun Li (ACM Trans. Interact. Intell. Syst., 2024)

Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents. - Chaoran Chen; Bingsheng Yao; Ruishi Zou; Wenyue Hua; Weimin Lyu; Toby Jia-Jun Li; Dakuo Wang (ACL (Findings), 2025)

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning. - Simret Araya Gebreegziabher; Kuangshi Ai; Zheng Zhang 043; Elena L. Glassman; Toby Jia-Jun Li (ACL (Findings), 2025)

UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. - Yuxuan Lu 003; Bingsheng Yao; Hansu Gu; Jing Huang; Zheshen Jessie Wang; Yang Li; Jiri Gesi; Qi He 002; Toby Jia-Jun Li; Dakuo Wang (CHI Extended Abstracts, 2025)

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories. - Simret Araya Gebreegziabher; Yukun Yang; Elena L. Glassman; Toby Jia-Jun Li (CHI, 2025)

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote). - Ruyuan Wan; Lingbo Tong; Tiffany Knearem; Toby Jia-Jun Li; Ting-Hao Kenneth Huang; Qunfang Wu (CHI, 2025)

From Operation to Cognition: Automatic Modeling Cognitive Dependencies from User Demonstrations for GUI Task Automation. - Yiwen Yin; Yu Mei; Chun Yu; Toby Jia-Jun Li; Aamir Khan Jadoon; Sixiang Cheng; Weinan Shi; Mohan Chen 007; Yuanchun Shi (CHI, 2025)

LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-located Team Collaboration. - Zheng Zhang 043; Weirui Peng; Xinyue Chen; Luke Cao; Toby Jia-Jun Li (CHI, 2025)

CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. - Chaoran Chen; Daodao Zhou; Yanfang Ye 001; Toby Jia-Jun Li; Yaxing Yao (IUI, 2025)

Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models. - Shiran Dudy; Thulasi Tholeti; Resmi Ramachandranpillai; Muhammad Ali; Toby Jia-Jun Li; Ricardo Baeza-Yates (IUI, 2025)

MetricMate: An Interactive Tool for Generating Evaluation Criteria for LLM-as-a-Judge Workflow. - Simret Araya Gebreegziabher; Charles Chiang; Zichu Wang; Zahra Ashktorab; Michelle Brachman; Werner Geyer; Toby Jia-Jun Li; Diego Gómez-Zará (IUI Workshops, 2025)

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. - Annalisa Szymanski; Noah Ziems; Heather A. Eicher-Miller; Toby Jia-Jun Li; Meng Jiang 001; Ronald A. Metoyer (IUI, 2025)

Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. - Shang Ma; Chaoran Chen; Shao Yang; Shifu Hou; Toby Jia-Jun Li; Xusheng Xiao; Tao Xie 001; Yanfang Ye 001 (NDSS, 2025)

'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices. - Shivani Kapania; Ruiyi Wang; Toby Jia-Jun Li; Tianshi Li 001; Hong Shen 004 (Proc. ACM Hum. Comput. Interact., 2025)

Uncovering Disparities in Rideshare Drivers Earning and Work Patterns: A Case Study of Chicago. - Hy Dang; Yuwen Lu; Jason Spicer; Tamara Kay; Di Yang; Yang Yang 008; Jay Brockman; Meng Jiang 001; Toby Jia-Jun Li (CoRR, 2025)

UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. - Yuxuan Lu 003; Bingsheng Yao; Hansu Gu; Jing Huang; Zheshen Jessie Wang; Laurence Li; Jiri Gesi; Qi He 002; Toby Jia-Jun Li; Dakuo Wang (CoRR, 2025)

UXAgent: A System for Simulating Usability Testing of Web Design with LLM Agents. - Yuxuan Lu 003; Bingsheng Yao; Hansu Gu; Jing Huang; Jessie Wang 003; Yang Li; Jiri Gesi; Qi He 002; Toby Jia-Jun Li; Dakuo Wang (CoRR, 2025)

The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections. - Chaoran Chen; Zhiping Zhang; Bingcan Guo; Shang Ma; Ibrahim Khalilov; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)

GLITTER: An AI-assisted Platform for Material-Grounded Asynchronous Discussion in Flipped Learning. - Weirui Peng; Yinuo Yang; Zheng Zhang 043; Toby Jia-Jun Li (CoRR, 2025)

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents. - Chaoran Chen; Zhiping Zhang; Ibrahim Khalilov; Bingcan Guo; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)

AI-Mediated Code Comment Improvement. - Maria Dhakal; Chia-Yi Su; Robert Wallace; Chris Fakhimi; Aakash Bansal; Toby Jia-Jun Li; Yu Huang 015; Collin McMillan (CoRR, 2025)

Programmer Visual Attention During Context-Aware Code Summarization. - Robert Wallace; Aakash Bansal; Zachary Karas; Ningzhi Tang; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (IEEE Trans. Software Eng., 2025)

OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation. - Ziyi Wang; Yuxuan Lu 003; Wenbo Li; Amirali Amini; Bo Sun; Yakov Bart; Weimin Lyu; Jiri Gesi; Tian Wang; Jing Huang; Yu Su; Upol Ehsan; et al. (CoRR, 2025)

AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos. - Zheng Ning; Leyang Li; Daniel Killough; JooYoung Seo; Patrick Carrington; Yapeng Tian; Yuhang Zhao 001; Franklin Mingzhe Li; Toby Jia-Jun Li (CoRR, 2025)

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification. - Ningzhi Tang; Emory Smith; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (CoRR, 2025)

Context-aware code summary generation. - Chia-Yi Su; Aakash Bansal; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (J. Syst. Softw., 2026)