:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Luyang, Chu, Yi-Yun, Wang, Jialu, Li, Beibei, Krishnan, Ramayya
Format:	Preprint
Publié:	2026
Sujets:	Computers and Society
Accès en ligne:	https://arxiv.org/abs/2604.00518
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums?
par: Zhang, Luyang, et autres
Publié: (2026)

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
par: Zou, Andy, et autres
Publié: (2025)

AcademiClaw: When Students Set Challenges for AI Agents
par: Yu, Junjie, et autres
Publié: (2026)

LLM Agents in Law: Taxonomy, Applications, and Challenges
par: Liu, Shuang, et autres
Publié: (2026)

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
par: Shayegani, Erfan, et autres
Publié: (2025)

When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents
par: Mathur, Leena, et autres
Publié: (2026)

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
par: Karamolegkou, Antonia, et autres
Publié: (2025)

SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFs
par: Huang, Chien-Kun, et autres
Publié: (2024)

A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge
par: Afroogh, Saleh, et autres
Publié: (2025)

Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing
par: Kucirkova, Natalia, et autres
Publié: (2025)

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts
par: Kulkarni, Radhika, et autres
Publié: (2025)

Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
par: Shen, Yiming, et autres
Publié: (2025)

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments
par: Liu, Fang, et autres
Publié: (2024)

JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks
par: Wang, Ruhan, et autres
Publié: (2024)

Tackling the Algorithmic Control Crisis -- the Technical, Legal, and Ethical Challenges of Research into Algorithmic Agents
par: Bodo, B., et autres
Publié: (2025)

Towards Operational Validation of LLM-Agent Social Simulations: A Replicated Study of a Reddit-like Technology Forum
par: Tomašević, Aleksandar, et autres
Publié: (2025)

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
par: Gohar, Usman, et autres
Publié: (2024)

Benchmarking Educational Program Repair
par: Koutcheme, Charles, et autres
Publié: (2024)

When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
par: Wang, Zongwei, et autres
Publié: (2026)

When Nobody Around Is Real: Exploring Public Opinions and User Experiences On the Multi-Agent AI Social Platform
par: Yu, Qiufang, et autres
Publié: (2026)

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
par: Xu, Rongwu, et autres
Publié: (2025)

Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)
par: Tang, Zichen, et autres
Publié: (2026)

Large Language Model-Enhanced Interactive Agent for Public Education on Newborn Auricular Deformities
par: Wang, Shuyue, et autres
Publié: (2024)

When Disagreements Elicit Robustness: Investigating Self-Repair Capabilities under LLM Multi-Agent Disagreements
par: Ju, Tianjie, et autres
Publié: (2025)

Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
par: Tong, Richard, et autres
Publié: (2024)

When Should a Principal Delegate to an Agent in Selection Processes?
par: Fish, Benjamin, et autres
Publié: (2025)

Grand Challenges in Immersive Technologies for Cultural Heritage
par: Wang, Hanbing, et autres
Publié: (2024)

Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
par: Shi, Zhengliang, et autres
Publié: (2025)

Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
par: Song, Yukyeong, et autres
Publié: (2024)

When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMs
par: Mehdizadeh, Aliakbar, et autres
Publié: (2025)

Automated Program Repair of Uncompilable Student Code
par: Pitts, Griffin, et autres
Publié: (2025)

Interactions Between Artificial Intelligence and Digital Public Infrastructure: Concepts, Benefits, and Challenges
par: Nagar, Sarosh, et autres
Publié: (2024)

What to Do When Privacy Is Gone
par: Brusseau, James
Publié: (2025)

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
par: Hopkins, Aspen K., et autres
Publié: (2025)

Data and Technology for Equitable Public Administration: Understanding City Government Employees' Challenges and Needs
par: Zhang, Angie, et autres
Publié: (2025)

Designing for Harm Reduction: Communication Repair for Multicultural Users' Voice Interactions
par: Wenzel, Kimi, et autres
Publié: (2024)

Consistency of Large Reasoning Models Under Multi-Turn Attacks
par: Li, Yubo, et autres
Publié: (2026)

When Should We Orchestrate Multiple Agents?
par: Bhatt, Umang, et autres
Publié: (2025)

Automatic Teaching Platform on Vision Language Retrieval Augmented Generation
par: Gokhman, Ruslan, et autres
Publié: (2025)

Agent-Enhanced Large Language Models for Researching Political Institutions
par: Loffredo, Joseph R., et autres
Publié: (2025)