{"total":153,"rows":[{"id":"2411.16594","title":"From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge","created":"2024-11-25","cited_by_count":494,"area":null},{"id":"2310.19736","title":"Evaluating Large Language Models: A Comprehensive Survey","created":"2023-10-30","cited_by_count":202,"area":null},{"id":"2308.14752","title":"AI Deception: A Survey of Examples, Risks, and Potential Solutions","created":"2023-08-28","cited_by_count":188,"area":null},{"id":"2311.04076","title":"Do LLMs exhibit human-like response biases? A case study in survey design","created":"2023-11-07","cited_by_count":180,"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":"2309.00779","title":"Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties","created":"2023-09-02","cited_by_count":97,"area":null},{"id":"2411.10915","title":"Bias in Large Language Models: Origin, Evaluation, and Mitigation","created":"2024-11-16","cited_by_count":77,"area":null},{"id":"2402.14499","title":"\"My Answer is C\": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models","created":"2024-02-22","cited_by_count":69,"area":null},{"id":"2404.12241","title":"Introducing v0.5 of the AI Safety Benchmark from MLCommons","created":"2024-04-18","cited_by_count":62,"area":null},{"id":"2407.21792","title":"Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?","created":"2024-07-31","cited_by_count":61,"area":null},{"id":"2410.02683","title":"DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life","created":"2024-10-03","cited_by_count":59,"area":null},{"id":"2311.04978","title":"On the steerability of large language models toward data-driven personas","created":"2023-11-08","cited_by_count":53,"area":null},{"id":"2502.14127","title":"Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above","created":"2025-02-19","cited_by_count":52,"area":null},{"id":"2408.02373","title":"Operationalizing Contextual Integrity in Privacy-Conscious Assistants","created":"2024-08-05","cited_by_count":37,"area":null},{"id":"2405.02501","title":"PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning","created":"2024-05-03","cited_by_count":29,"area":null},{"id":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","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":"2511.01805","title":"Accumulating Context Changes the Beliefs of Language Models","created":"2025-11-03","cited_by_count":28,"area":null},{"id":"2407.14614","title":"Evaluating language models as risk scores","created":"2024-07-19","cited_by_count":27,"area":null},{"id":"2310.11053","title":"Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning","created":"2023-10-17","cited_by_count":26,"area":null},{"id":"2410.23426","title":"Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?","created":"2024-10-30","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":"2311.16421","title":"CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models","created":"2023-11-28","cited_by_count":23,"area":null},{"id":"2403.07678","title":"MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions","created":"2024-03-12","cited_by_count":23,"area":null},{"id":"2406.12158","title":"LLMs Are Prone to Fallacies in Causal Inference","created":"2024-06-18","cited_by_count":23,"area":null},{"id":"2407.10725","title":"CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses","created":"2024-07-15","cited_by_count":23,"area":null},{"id":"2406.17675","title":"Evaluating Large Language Models with Psychometrics","created":"2024-06-25","cited_by_count":22,"area":null},{"id":"2502.10441","title":"AI Alignment at Your Discretion","created":"2025-02-10","cited_by_count":20,"area":null},{"id":"2406.04214","title":"ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models","created":"2024-06-06","cited_by_count":19,"area":null},{"id":"2406.11096","title":"The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models","created":"2024-06-16","cited_by_count":19,"area":null},{"id":"2407.12929","title":"The 2024 Foundation Model Transparency Index","created":"2024-07-17","cited_by_count":19,"area":null},{"id":"2406.14230","title":"Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing","created":"2024-06-20","cited_by_count":17,"area":null},{"id":"2501.14844","title":"Unmasking Conversational Bias in AI Multiagent Systems","created":"2025-01-24","cited_by_count":17,"area":null},{"id":"2405.13974","title":"CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models","created":"2024-05-22","cited_by_count":16,"area":null},{"id":"2407.15814","title":"Perceptions of Linguistic Uncertainty by Language Models and Humans","created":"2024-07-22","cited_by_count":15,"area":null},{"id":"2410.09992","title":"Evaluating Gender Bias of LLMs in Making Morality Judgements","created":"2024-10-13","cited_by_count":15,"area":null},{"id":"2505.19212","title":"When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas","created":"2025-05-25","cited_by_count":15,"area":null},{"id":"2312.06798","title":"Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety","created":"2023-12-05","cited_by_count":14,"area":null},{"id":"2404.12744","title":"Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches","created":"2024-04-19","cited_by_count":14,"area":null},{"id":"2406.06435","title":"Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain","created":"2024-06-10","cited_by_count":14,"area":null},{"id":"2407.12878","title":"Do LLMs have Consistent Values?","created":"2024-07-16","cited_by_count":14,"area":null},{"id":"2502.14906","title":"Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models","created":"2025-02-18","cited_by_count":14,"area":null},{"id":"2409.12106","title":"Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models","created":"2024-09-18","cited_by_count":13,"area":null},{"id":"2411.14491","title":"A Survey on Human-Centric LLMs","created":"2024-11-20","cited_by_count":13,"area":null},{"id":"2505.17712","title":"Understanding How Value Neurons Shape the Generation of Specified Values in LLMs","created":"2025-05-23","cited_by_count":13,"area":null},{"id":"2509.25369","title":"Generative Value Conflicts Reveal LLM Priorities","created":"2025-09-29","cited_by_count":13,"area":null},{"id":"2503.19598","title":"The Greatest Good Benchmark: Measuring LLMs' Alignment with Utilitarian Moral Dilemmas","created":"2025-03-25","cited_by_count":12,"area":null},{"id":"2407.15184","title":"Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment","created":"2024-07-21","cited_by_count":11,"area":null},{"id":"2410.13204","title":"Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations","created":"2024-10-17","cited_by_count":11,"area":null},{"id":"2405.04325","title":"Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation","created":"2024-05-07","cited_by_count":10,"area":null},{"id":"2408.09819","title":"CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models","created":"2024-08-19","cited_by_count":10,"area":null},{"id":"2411.11731","title":"Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment","created":"2024-11-18","cited_by_count":10,"area":null},{"id":"2504.10823","title":"CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives","created":"2025-04-15","cited_by_count":10,"area":null},{"id":"2406.20087","title":"ProgressGym: Alignment with a Millennium of Moral Progress","created":"2024-06-28","cited_by_count":9,"area":null},{"id":"2510.11254","title":"Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality","created":"2025-10-13","cited_by_count":9,"area":null},{"id":"2602.12966","title":"ProbeLLM: Automating Principled Diagnosis of LLM Failures","created":"2026-02-13","cited_by_count":9,"area":null},{"id":"2410.13517","title":"Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?","created":"2024-10-17","cited_by_count":8,"area":null},{"id":"2411.08243","title":"Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset","created":"2024-11-12","cited_by_count":8,"area":null},{"id":"2506.19352","title":"Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation","created":"2025-06-24","cited_by_count":8,"area":null},{"id":"2407.19760","title":"Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios","created":"2024-07-29","cited_by_count":7,"area":null},{"id":"2408.01460","title":"LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models","created":"2024-07-27","cited_by_count":7,"area":null},{"id":"2501.07071","title":"Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values","created":"2025-01-13","cited_by_count":7,"area":null},{"id":"2505.19776","title":"Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification","created":"2025-05-26","cited_by_count":7,"area":null},{"id":"2507.17216","title":"The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models","created":"2025-07-23","cited_by_count":7,"area":null},{"id":"2509.24216","title":"MoVa: Towards Generalizable Classification of Human Morals and Values","created":"2025-09-29","cited_by_count":7,"area":null},{"id":"2510.00857","title":"ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs","created":"2025-10-01","cited_by_count":6,"area":null},{"id":"2504.00241","title":"Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy","created":"2025-03-31","cited_by_count":5,"area":null},{"id":"2505.19674","title":"Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations","created":"2025-05-26","cited_by_count":5,"area":null},{"id":"2508.16013","title":"Political Ideology Shifts in Large Language Models","created":"2025-08-22","cited_by_count":5,"area":null},{"id":"2512.13723","title":"Made-in China, Thinking in America:U.S. Values Persist in Chinese LLMs","created":"2025-12-13","cited_by_count":5,"area":null},{"id":"2605.10310","title":"Positive Alignment: Artificial Intelligence for Human Flourishing","created":"2026-05-11","cited_by_count":5,"area":null},{"id":"2406.01757","title":"Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2410.07826","title":"Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2505.13531","title":"AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference","created":"2025-05-18","cited_by_count":4,"area":null},{"id":"2510.13912","title":"AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefs","created":"2025-10-15","cited_by_count":4,"area":null},{"id":"2402.13709","title":"SaGE: Evaluating Moral Consistency in Large Language Models","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2405.09186","title":"HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants","created":"2024-05-15","cited_by_count":3,"area":null},{"id":"2503.05724","title":"Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making","created":"2025-02-17","cited_by_count":3,"area":null},{"id":"2504.10359","title":"DICE: A Framework for Dimensional and Contextual Evaluation of Language Models","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2505.11189","title":"Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2506.11068","title":"Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2506.12433","title":"Exploring Cultural Variations in Moral Judgments with Large Language Models","created":"2025-06-14","cited_by_count":3,"area":null},{"id":"2507.00088","title":"How large language models judge and influence human cooperation","created":"2025-06-30","cited_by_count":3,"area":null},{"id":"2510.13902","title":"Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2601.22396","title":"Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2602.04033","title":"On the Credibility of Evaluating LLMs using Survey Questions","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2602.09416","title":"Are Language Models Sensitive to Morally Irrelevant Distractors?","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2603.23114","title":"On the Context Sensitivity of LLM Moral Judgment","created":"2026-03-24","cited_by_count":3,"area":null},{"id":"2608.05583","title":"The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions","created":"2026-08-06","cited_by_count":3,"area":null},{"id":"2412.15683","title":"Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses","created":"2024-12-20","cited_by_count":2,"area":null},{"id":"2412.18551","title":"Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability","created":"2024-12-24","cited_by_count":2,"area":null},{"id":"2501.01741","title":"How Toxic Can You Get? Search-based Toxicity Testing for Large Language Models","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2502.18282","title":"Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2505.04654","title":"A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient","created":"2025-05-06","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":"2506.22232","title":"Leveraging In-Context Learning for Political Bias Testing of LLMs","created":"2025-06-27","cited_by_count":2,"area":null},{"id":"2507.09037","title":"ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2508.12754","title":"Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2509.22699","title":"Are you sure? Measuring models bias in content moderation through uncertainty","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2510.24488","title":"A word association network methodology for evaluating implicit biases in LLMs compared to humans","created":"2025-10-28","cited_by_count":2,"area":null}],"next_cursor":"100"}