:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Zhang, Linhao, Xia, Tong, Piao, Jinghua, Cui, Lizhen, Li, Yong
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.00058
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulating Generative Social Agents via Theory-Informed Workflow Design
by: Yan, Yuwei, et al.
Published: (2025)

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments
by: Chen, Jiaju, et al.
Published: (2026)

Paper2Data: Large-Scale LLM Extraction and Metadata Structuring of Global Urban Data from Scientific Literature
by: You, Runwen, et al.
Published: (2026)

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
by: Lin, Jianghao, et al.
Published: (2025)

Predicting Cascade Failures in Interdependent Urban Infrastructure Networks
by: Tang, Yinzhou, et al.
Published: (2025)

Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
by: Atreja, Shubham, et al.
Published: (2024)

Manimator: Transforming Research Papers into Visual Explanations
by: P, Samarth, et al.
Published: (2025)

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
by: Wang, Huandong, et al.
Published: (2025)

GeoAI in Social Science
by: Li, Wenwen
Published: (2023)

Exploring Large Language Model Agents for Piloting Social Experiments
by: Piao, Jinghua, et al.
Published: (2025)

A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
by: Reihanian, Iman, et al.
Published: (2025)

Reinforcement Learning and Life Cycle Assessment for a Circular Economy -- Towards Progressive Computer Science
by: Buchner, Johannes
Published: (2025)

VERA-MH Concept Paper
by: Belli, Luca, et al.
Published: (2025)

TRACE: AI-Assisted Assessment of Collaborative Projects in Computer Science Education
by: Yu, Songmei, et al.
Published: (2025)

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
by: Wang, Zhenyu, et al.
Published: (2024)

AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention
by: Cortês, Marina, et al.
Published: (2024)

Reproducible workflow for online AI in digital health
by: Ghosh, Susobhan, et al.
Published: (2025)

Overview of the SciHigh Track at FIRE 2025: Research Highlight Generation from Scientific Papers
by: Rehman, Tohida, et al.
Published: (2026)

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
by: Qu, Jingjing, et al.
Published: (2025)

Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course
by: Chowdhury, Tahiya
Published: (2025)

The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
by: İlter, H. Kemal
Published: (2026)

BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
by: Jiang, Fengqing, et al.
Published: (2025)

LLM-Assisted Replication for Quantitative Social Science
by: Kubota, So, et al.
Published: (2026)

Towards Automated Scoping of AI for Social Good Projects
by: Emmerson, Jacob, et al.
Published: (2025)

Embedding Privacy in Computational Social Science and Artificial Intelligence Research
by: Jones, Keenan, et al.
Published: (2024)

Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
by: Hoffmann, Barbara, et al.
Published: (2024)

CausalCite: A Causal Formulation of Paper Citations
by: Kumar, Ishan, et al.
Published: (2023)

Automated Assessment of Students' Code Comprehension using LLMs
by: Oli, Priti, et al.
Published: (2023)

Handwritten Code Recognition for Pen-and-Paper CS Education
by: Islam, Md Sazzad, et al.
Published: (2024)

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research
by: Chen, Renqi, et al.
Published: (2025)

Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
by: Castañeira, Josu Eguiluz, et al.
Published: (2025)

Evaluating Code Generation of LLMs in Advanced Computer Science Problems
by: Catir, Emir, et al.
Published: (2025)

Big Data and the Computational Social Science of Entrepreneurship and Innovation
by: Li, Ningzi, et al.
Published: (2025)

Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
by: Sun, Yuxi, et al.
Published: (2025)

Large Language Models and Synthetic Data for Monitoring Dataset Mentions in Research Papers
by: Solatorio, Aivin V., et al.
Published: (2025)

Homoglyph-based Adversarial Perturbation of Introductory Computer Science Theory Problems
by: Alexander, Aidan, et al.
Published: (2026)

Enhancing Large Language Models for Automated Homework Assessment in Undergraduate Circuit Analysis
by: Chen, Liangliang, et al.
Published: (2025)

Assessing the Reliability and Validity of Large Language Models for Automated Assessment of Student Essays in Higher Education
by: Gaggioli, Andrea, et al.
Published: (2025)

Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking
by: Akbar, Muhammad Sajjad
Published: (2025)

AI Urban Scientist: Multi-Agent Collaborative Automation for Urban Research
by: Xia, Tong, et al.
Published: (2025)