Lingyao Li
Orcid: 0000-0001-5888-8311
According to our database1,
Lingyao Li authored at least 84 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers.
CoRR, May, 2026
LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment.
CoRR, May, 2026
When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution.
CoRR, April, 2026
A Guide to Using Social Media as a Geospatial Lens for Studying Public Opinion and Behavior.
CoRR, April, 2026
BATON: A Multimodal Benchmark for Bidirectional Automation Transition Observation in Naturalistic Driving.
CoRR, April, 2026
Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires.
CoRR, March, 2026
DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning.
CoRR, March, 2026
Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation.
CoRR, February, 2026
The Rise of AI Agent Communities: Large-Scale Analysis of Discourse and Interaction on Moltbook.
CoRR, February, 2026
Whether We Care, How We Reason: The Dual Role of Anthropomorphism and Moral Foundations in Robot Abuse.
CoRR, January, 2026
"I use ChatGPT to humanize my words": Affordances and Risks of ChatGPT to Autistic Users.
CoRR, January, 2026
Integrating LLMs and Digital Twins for Adaptive Multi-Robot Task Allocation in Construction.
IEEE Trans Autom. Sci. Eng., 2026
LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions.
Proceedings of the ACM Web Conference 2026, 2026
FairHireBench: A Cross-Generational Intersectional Bias Benchmark for Large Language Models in Automated Hiring.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026
Exploring Needs and Design Opportunities for Proactive Information Support in In-Person Small-Group Conversations.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Negotiating Digital Identities with AI Companions: Motivations, Strategies, and Emotional Outcomes.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Digit. Gov. Res. Pract., December, 2025
CoRR, December, 2025
Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning.
CoRR, November, 2025
Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities.
CoRR, November, 2025
Beyond the Uncanny Valley: A Mixed-Method Investigation of Anthropomorphism in Protective Responses to Robot Abuse.
CoRR, October, 2025
I don't Want You to Die: A Shared Responsibility Framework for Safeguarding Child-Robot Companionship.
CoRR, October, 2025
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services.
CoRR, October, 2025
Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response.
CoRR, October, 2025
PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional Features.
CoRR, September, 2025
When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review.
CoRR, September, 2025
Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild".
CoRR, September, 2025
Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM.
CoRR, August, 2025
From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models.
CoRR, August, 2025
DynamiCare: A Dynamic Multi-Agent Framework for Interactive and Open-Ended Medical Decision-Making.
CoRR, July, 2025
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.
SIGKDD Explor., June, 2025
Integrating LLMs and Digital Twins for Adaptive Multi-Robot Task Allocation in Construction.
CoRR, June, 2025
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation.
CoRR, June, 2025
A Longitudinal Analysis of Experiences with Semaglutide Across Twitter User Subpopulations.
CoRR, May, 2025
CoRR, May, 2025
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases.
CoRR, April, 2025
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide.
CoRR, April, 2025
Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction.
CoRR, March, 2025
Instilling Doubts About Truth: Measuring the Impact of Tucker Carlson's Interview with Vladimir Putin Using Machine Learning and Natural Language Processing.
CoRR, March, 2025
Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility.
CoRR, February, 2025
Analyzing public response to wildfires: A socio-spatial study using SIR models and NLP techniques.
Comput. Environ. Urban Syst., 2025
Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design.
Comput. Environ. Urban Syst., 2025
Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
What's in a Prompt?: A Large-Scale Experiment to Assess the Impact of Prompt Design on the Compliance and Accuracy of LLM-Generated Text Annotations.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025
Human and AI Alignment on Stance Detection - A Case Study of the United Healthcare CEO Assassination.
Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025
Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis.
J. Heal. Informatics Res., December, 2024
ACM Trans. Intell. Syst. Technol., October, 2024
Educ. Inf. Technol., June, 2024
"HOT" ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media.
ACM Trans. Web, May, 2024
Assessing Response Disparities in California Wildland-Urban-Interface (WUI) Cities Using the Compartmental Model.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics.
CoRR, 2024
Academic collaboration on large language model studies increases overall but varies across disciplines.
CoRR, 2024
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.
CoRR, 2024
Crowdsourced reviews reveal substantial disparities in public perceptions of parking.
CoRR, 2024
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways.
CoRR, 2024
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs).
CoRR, 2024
Crowdsourcing public attitudes toward local services through the lens of Google Maps reviews: An urban density-based perspective.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Landscape of Generative AI in Global News: Topics, Sentiments, and Spatiotemporal Analysis.
CoRR, 2024
Landscape of Large Language Models in Global English News: Topics, Sentiments, and Spatiotemporal Analysis.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.
CoRR, 2023
Thriving in a Pandemic: Lessons Learned from a Resilient University Program Seen Through the CoI Lens.
CoRR, 2023
Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season.
CoRR, 2023
CoRR, 2023
2022
J. Biomed. Informatics, 2022
Key factors in MOOC pedagogy based on NLP sentiment analysis of learner reviews: What makes a hit.
Comput. Educ., 2022
2021
Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event.
Int. J. Inf. Manag., 2021