{"total":78,"rows":[{"id":"2403.08319","title":"Knowledge Conflicts for LLMs: A Survey","created":"2024-03-13","cited_by_count":283,"area":null},{"id":"2309.13788","title":"Can LLM-Generated Misinformation Be Detected?","created":"2023-09-25","cited_by_count":177,"area":null},{"id":"2405.07940","title":"RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors","created":"2024-05-13","cited_by_count":163,"area":null},{"id":"2309.07930","title":"Generative AI","created":"2023-09-13","cited_by_count":120,"area":null},{"id":"2312.09085","title":"The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation","created":"2023-12-14","cited_by_count":109,"area":null},{"id":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2308.12833","title":"Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities","created":"2023-08-24","cited_by_count":82,"area":null},{"id":"2501.10326","title":"Large language models for automated scholarly paper review: A survey","created":"2025-01-17","cited_by_count":61,"area":null},{"id":"2412.17686","title":"Large Language Model Safety: A Holistic Survey","created":"2024-12-23","cited_by_count":59,"area":"safety"},{"id":"2305.10435","title":"Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions","created":"2023-05-11","cited_by_count":55,"area":null},{"id":"2404.17605","title":"Autonomous LLM-driven research from data to human-verifiable research papers","created":"2024-04-24","cited_by_count":53,"area":null},{"id":"2310.15515","title":"Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation","created":"2023-10-24","cited_by_count":51,"area":null},{"id":"2408.10365","title":"AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews","created":"2024-08-19","cited_by_count":44,"area":null},{"id":"2309.15847","title":"Disinformation Detection: An Evolving Challenge in the Age of LLMs","created":"2023-09-25","cited_by_count":41,"area":null},{"id":"2310.20501","title":"Neural Retrievers are Biased Towards LLM-Generated Content","created":"2023-10-31","cited_by_count":38,"area":null},{"id":"2307.16336","title":"Anatomy of an AI-powered malicious social botnet","created":"2023-07-30","cited_by_count":36,"area":null},{"id":"2411.06837","title":"Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications","created":"2024-11-11","cited_by_count":32,"area":null},{"id":"2309.11285","title":"Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains","created":"2023-09-20","cited_by_count":31,"area":null},{"id":"2408.02946","title":"Scaling Trends for Data Poisoning in LLMs","created":"2024-08-06","cited_by_count":30,"area":"safety"},{"id":"2312.14302","title":"Exploiting Novel GPT-4 APIs","created":"2023-12-21","cited_by_count":28,"area":"agents"},{"id":"2312.06861","title":"Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates","created":"2023-12-11","cited_by_count":26,"area":null},{"id":"2406.15583","title":"Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods","created":"2024-06-21","cited_by_count":23,"area":null},{"id":"2308.10800","title":"Fact-checking information from large language models can decrease headline discernment","created":"2023-08-21","cited_by_count":22,"area":null},{"id":"2403.01152","title":"A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization","created":"2024-03-02","cited_by_count":19,"area":null},{"id":"2504.20013","title":"LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation","created":"2025-04-28","cited_by_count":19,"area":null},{"id":"2407.04503","title":"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings","created":"2024-07-05","cited_by_count":17,"area":null},{"id":"2412.17128","title":"Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models","created":"2024-12-22","cited_by_count":15,"area":null},{"id":"2311.04917","title":"Adapting Fake News Detection to the Era of Large Language Models","created":"2023-11-02","cited_by_count":14,"area":null},{"id":"2408.06731","title":"Large language models can consistently generate high-quality content for election disinformation operations","created":"2024-08-13","cited_by_count":14,"area":null},{"id":"2311.14084","title":"Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images","created":"2023-11-23","cited_by_count":13,"area":null},{"id":"2504.09865","title":"Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects","created":"2025-04-14","cited_by_count":13,"area":null},{"id":"2404.03745","title":"Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations","created":"2024-04-04","cited_by_count":12,"area":null},{"id":"2407.13089","title":"MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking","created":"2024-07-18","cited_by_count":10,"area":null},{"id":"2405.00711","title":"Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities","created":"2024-04-25","cited_by_count":8,"area":"diffusion"},{"id":"2501.08913","title":"GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge","created":"2025-01-15","cited_by_count":7,"area":null},{"id":"2312.13096","title":"In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2505.07610","title":"Concept-Level Explainability for Auditing & Steering LLM Responses","created":"2025-05-12","cited_by_count":6,"area":"safety"},{"id":"2507.13614","title":"Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models","created":"2025-07-18","cited_by_count":6,"area":null},{"id":"2603.01291","title":"JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks","created":"2026-03-01","cited_by_count":6,"area":"safety"},{"id":"2402.10436","title":"I Am Not Them: Fluid Identities and Persistent Out-group Bias in Large Language Models","created":"2024-02-16","cited_by_count":5,"area":null},{"id":"2406.17992","title":"Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2409.06729","title":"How will advanced AI systems impact democracy?","created":"2024-08-27","cited_by_count":5,"area":null},{"id":"2503.16679","title":"Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2506.07211","title":"Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation","created":"2025-06-08","cited_by_count":4,"area":null},{"id":"2402.08467","title":"Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims","created":"2024-02-13","cited_by_count":3,"area":null},{"id":"2504.02091","title":"Increasing happiness through conversations with artificial intelligence","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2506.16150","title":"PRISON: Unmasking the Criminal Potential of Large Language Models","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2510.12993","title":"Tailored untruths: How personalisation challenges LLM safeguards","created":"2025-10-14","cited_by_count":2,"area":"safety"},{"id":"2603.25501","title":"An Experimental Comparison of the Most Popular Approaches to Fake News Detection","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2607.13562","title":"AI advice suppresses people's willingness to say \"I don't know\", even when the advice is wrong and accuracy is incentivized","created":"2026-07-15","cited_by_count":2,"area":null},{"id":"2402.10527","title":"Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks","created":"2024-02-16","cited_by_count":1,"area":null},{"id":"2406.10415","title":"PRISM: A Design Framework for Open-Source Foundation Model Safety","created":"2024-06-14","cited_by_count":1,"area":null},{"id":"2406.16275","title":"Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2506.00047","title":"Risks of AI-driven product development and strategies for their mitigation","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2507.23492","title":"Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment","created":"2025-07-31","cited_by_count":1,"area":null},{"id":"2508.16385","title":"ChatGPT-generated texts show authorship traits that identify them as non-human","created":"2025-08-22","cited_by_count":1,"area":null},{"id":"2604.14111","title":"Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies","created":"2026-04-15","cited_by_count":1,"area":null},{"id":"2605.29928","title":"Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2606.00160","title":"DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2608.20047","title":"Auditing Cross-Lingual Fairness in Language Model Watermarking","created":"2026-08-20","cited_by_count":1,"area":"safety"},{"id":"2312.09546","title":"On a Functional Definition of Intelligence","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2312.13961","title":"ChatGPT as a commenter to the news: can LLMs generate human-like opinions?","created":"2023-12-21","cited_by_count":0,"area":null},{"id":"2410.15884","title":"Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2412.16486","title":"Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification","created":"2024-12-21","cited_by_count":0,"area":null},{"id":"2505.13302","title":"Images Amplify Misinformation Sharing in Vision-Language Models","created":"2025-05-19","cited_by_count":0,"area":"mllm"},{"id":"2505.13855","title":"Domain Gating Ensemble Networks for AI-Generated Text Detection","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2602.02838","title":"Beyond Content: Behavioral Policies Reveal Actors in Information Operations","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2604.19189","title":"Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2605.12452","title":"The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.15768","title":"ALSO: Adversarial Online Strategy Optimization for Social Agents","created":"2026-05-15","cited_by_count":0,"area":"agents"},{"id":"2605.16471","title":"From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI","created":"2026-05-15","cited_by_count":0,"area":"agents"},{"id":"2606.05256","title":"How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment","created":"2026-06-03","cited_by_count":0,"area":"agents"},{"id":"2607.03680","title":"Rethinking AI-Generated Text Detection: A Strong Baseline and the Distribution-Shift Problem That Remains","created":"2026-07-04","cited_by_count":0,"area":null},{"id":"2607.13082","title":"Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation","created":"2026-07-13","cited_by_count":0,"area":"safety"},{"id":"2608.12852","title":"Falsehood and Impossibility Are Different Directions in an AI's Representation of Language","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.35028","title":"VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35821","title":"CrisisFake: Benchmark Validity of AI-Generated Text Detection for Disaster Social Sensing","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.04620","title":"Stance Drift: How AI-mediated Communication Distorts Our Message","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}