{"total":66,"rows":[{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2308.05374","title":"Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment","created":"2023-08-10","cited_by_count":401,"area":null},{"id":"2402.03927","title":"Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs","created":"2024-02-06","cited_by_count":229,"area":null},{"id":"2404.18231","title":"From Persona to Personalization: A Survey on Role-Playing Language Agents","created":"2024-04-28","cited_by_count":212,"area":"agents"},{"id":"2310.17976","title":"InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews","created":"2023-10-27","cited_by_count":179,"area":null},{"id":"2402.16786","title":"Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models","created":"2024-02-26","cited_by_count":162,"area":null},{"id":"2305.11391","title":"A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation","created":"2023-05-19","cited_by_count":93,"area":null},{"id":"2402.01789","title":"The Political Preferences of LLMs","created":"2024-02-02","cited_by_count":84,"area":null},{"id":"2412.03563","title":"From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents","created":"2024-12-04","cited_by_count":82,"area":"agents"},{"id":"2306.07951","title":"Questioning the Survey Responses of Large Language Models","created":"2023-06-13","cited_by_count":74,"area":null},{"id":"2308.12488","title":"GPTEval: A Survey on Assessments of ChatGPT and GPT-4","created":"2023-08-24","cited_by_count":73,"area":null},{"id":"2401.05778","title":"Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems","created":"2024-01-11","cited_by_count":66,"area":null},{"id":"2402.17649","title":"Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs","created":"2024-02-27","cited_by_count":55,"area":null},{"id":"2308.03656","title":"Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench","created":"2023-08-07","cited_by_count":54,"area":null},{"id":"2407.11484","title":"The Oscars of AI Theater: A Survey on Role-Playing with Language Models","created":"2024-07-16","cited_by_count":48,"area":null},{"id":"2405.14125","title":"ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation","created":"2024-05-23","cited_by_count":47,"area":"agents"},{"id":"2308.02053","title":"The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations","created":"2023-08-03","cited_by_count":41,"area":null},{"id":"2401.11839","title":"AI for social science and social science of AI: A Survey","created":"2024-01-22","cited_by_count":29,"area":null},{"id":"2310.01386","title":"Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench","created":"2023-10-02","cited_by_count":28,"area":null},{"id":"2502.08395","title":"IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance","created":"2025-02-12","cited_by_count":26,"area":null},{"id":"2501.18081","title":"Normative Evaluation of Large Language Models with Everyday Moral Dilemmas","created":"2025-01-30","cited_by_count":24,"area":null},{"id":"2309.08836","title":"Bias and Fairness in Chatbots: An Overview","created":"2023-09-16","cited_by_count":20,"area":null},{"id":"2403.04667","title":"The Social Impact of Generative AI: An Analysis on ChatGPT","created":"2024-03-07","cited_by_count":18,"area":null},{"id":"2305.19926","title":"Revisiting the Reliability of Psychological Scales on Large Language Models","created":"2023-05-31","cited_by_count":16,"area":null},{"id":"2306.04308","title":"Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality","created":"2023-06-07","cited_by_count":16,"area":null},{"id":"2503.16148","title":"Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models","created":"2025-03-20","cited_by_count":15,"area":null},{"id":"2407.18008","title":"GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy","created":"2024-07-25","cited_by_count":14,"area":null},{"id":"2407.17688","title":"Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification","created":"2024-07-25","cited_by_count":9,"area":null},{"id":"2503.10649","title":"Measuring Political Preferences in AI Systems: An Integrative Approach","created":"2025-03-04","cited_by_count":9,"area":null},{"id":"2402.09346","title":"LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop","created":"2024-02-14","cited_by_count":8,"area":null},{"id":"2504.19674","title":"SAGE: A Generic Framework for LLM Safety Evaluation","created":"2025-04-28","cited_by_count":8,"area":"safety"},{"id":"2402.12713","title":"Are LLMs Rational Investors? A Study on Detecting and Reducing the Financial Bias in LLMs","created":"2024-02-20","cited_by_count":7,"area":null},{"id":"2509.22367","title":"What Is The Political Content in LLMs' Pre- and Post-Training Data?","created":"2025-09-26","cited_by_count":7,"area":null},{"id":"2602.11328","title":"Evaluating Alignment of Behavioral Dispositions in LLMs","created":"2026-02-11","cited_by_count":7,"area":"alignment"},{"id":"2306.03423","title":"I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models","created":"2023-06-06","cited_by_count":6,"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":"2406.14023","title":"Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective","created":"2024-06-20","cited_by_count":6,"area":null},{"id":"2406.19238","title":"Revealing Fine-Grained Values and Opinions in Large Language Models","created":"2024-06-27","cited_by_count":5,"area":null},{"id":"2408.11415","title":"Political Bias in LLMs: Unaligned Moral Values in Agent-centric Simulations","created":"2024-08-21","cited_by_count":5,"area":"agents"},{"id":"2502.15568","title":"A Cautionary Tale About \"Neutrally\" Informative AI Tools Ahead of the 2025 Federal Elections in Germany","created":"2025-02-21","cited_by_count":5,"area":null},{"id":"2410.18906","title":"PRISM: A Methodology for Auditing Biases in Large Language Models","created":"2024-10-24","cited_by_count":4,"area":null},{"id":"2507.15328","title":"On the Inevitability of Left-Leaning Political Bias in Aligned Language Models","created":"2025-07-21","cited_by_count":4,"area":"alignment"},{"id":"2308.02448","title":"From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence","created":"2023-08-04","cited_by_count":3,"area":null},{"id":"2407.14296","title":"Foundation Models for Autonomous Robots in Unstructured Environments","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2505.24539","title":"Localizing Persona Representations in LLMs","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2308.03301","title":"What has ChatGPT read? The origins of archaeological citations used by a generative artificial intelligence application","created":"2023-08-07","cited_by_count":2,"area":null},{"id":"2309.16167","title":"Large Language Model Soft Ideologization via AI-Self-Consciousness","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2402.04110","title":"Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs","created":"2024-02-06","cited_by_count":2,"area":null},{"id":"2405.03387","title":"The high dimensional psychological profile and cultural bias of ChatGPT","created":"2024-05-06","cited_by_count":2,"area":null},{"id":"2408.08217","title":"RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2410.21008","title":"Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases","created":"2024-10-28","cited_by_count":2,"area":null},{"id":"2503.08404","title":"Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information","created":"2025-03-11","cited_by_count":2,"area":"safety"},{"id":"2507.08027","title":"\"Amazing, They All Lean Left\" -- Analyzing the Political Temperaments of Current LLMs","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2312.11525","title":"Synocene, Beyond the Anthropocene: De-Anthropocentralising Human-Nature-AI Interaction","created":"2023-12-13","cited_by_count":1,"area":null},{"id":"2312.17256","title":"From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2407.03473","title":"Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts","created":"2024-07-03","cited_by_count":1,"area":null},{"id":"2511.04706","title":"Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2601.16778","title":"GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior","created":"2026-01-23","cited_by_count":1,"area":"agents"},{"id":"2607.05552","title":"The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2508.18234","title":"Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2510.08236","title":"The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2511.01840","title":"A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2601.07884","title":"Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies","created":"2026-01-12","cited_by_count":0,"area":null},{"id":"2605.22771","title":"Reducing Political Manipulation with Consistency Training","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.02741","title":"Greener Than Humans? Environmental Attitudes in Large Language Models","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.16127","title":"AuAu: A Benchmark for Auditing Authoritarian Alignment in Large Language Models","created":"2026-06-15","cited_by_count":0,"area":null}],"next_cursor":null}