{"total":53,"rows":[{"id":"2406.15513","title":"PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference","created":"2024-06-20","cited_by_count":261,"area":"alignment"},{"id":"2405.12819","title":"Large Language Models Meet NLP: A Survey","created":"2024-05-21","cited_by_count":103,"area":null},{"id":"2308.10149","title":"A Survey on Fairness in Large Language Models","created":"2023-08-20","cited_by_count":95,"area":null},{"id":"2403.18932","title":"Measuring Political Bias in Large Language Models: What Is Said and How It Is Said","created":"2024-03-27","cited_by_count":89,"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":"2306.11507","title":"TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models","created":"2023-06-20","cited_by_count":58,"area":null},{"id":"2404.01349","title":"Fairness in Large Language Models: A Taxonomic Survey","created":"2024-03-31","cited_by_count":58,"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":"2310.00905","title":"All Languages Matter: On the Multilingual Safety of Large Language Models","created":"2023-10-02","cited_by_count":53,"area":"safety"},{"id":"2407.20516","title":"Machine Unlearning in Generative AI: A Survey","created":"2024-07-30","cited_by_count":49,"area":"safety"},{"id":"2409.12894","title":"VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation","created":"2024-09-19","cited_by_count":45,"area":"vla"},{"id":"2410.19317","title":"FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs","created":"2024-10-25","cited_by_count":36,"area":null},{"id":"2410.07991","title":"Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets","created":"2024-10-10","cited_by_count":31,"area":null},{"id":"2309.08631","title":"Large Language Models Can Infer Psychological Dispositions of Social Media Users","created":"2023-09-13","cited_by_count":29,"area":null},{"id":"2404.09894","title":"Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection","created":"2024-04-15","cited_by_count":29,"area":null},{"id":"2403.09606","title":"Large Language Models and Causal Inference in Collaboration: A Survey","created":"2024-03-14","cited_by_count":26,"area":null},{"id":"2305.14711","title":"Gender Biases in Automatic Evaluation Metrics for Image Captioning","created":"2023-05-24","cited_by_count":24,"area":null},{"id":"2407.10241","title":"BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs","created":"2024-07-14","cited_by_count":21,"area":null},{"id":"2312.10868","title":"From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape","created":"2023-12-18","cited_by_count":18,"area":"moe"},{"id":"2401.00763","title":"New Job, New Gender? Measuring the Social Bias in Image Generation Models","created":"2024-01-01","cited_by_count":16,"area":null},{"id":"2406.04064","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","created":"2024-06-06","cited_by_count":14,"area":null},{"id":"2502.11163","title":"AI Sees Your Location, But With A Bias Toward The Wealthy World","created":"2025-02-16","cited_by_count":14,"area":"mllm"},{"id":"2408.11843","title":"Identifying and Mitigating Social Bias Knowledge in Language Models","created":"2024-08-07","cited_by_count":13,"area":null},{"id":"2402.12150","title":"Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One","created":"2024-02-19","cited_by_count":11,"area":null},{"id":"2407.18454","title":"Fairness Definitions in Language Models Explained","created":"2024-07-26","cited_by_count":11,"area":null},{"id":"2411.00585","title":"Fairness Testing of Large Language Models in Role-Playing","created":"2024-11-01","cited_by_count":11,"area":null},{"id":"2501.07849","title":"The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation","created":"2025-01-14","cited_by_count":10,"area":null},{"id":"2405.13052","title":"Large Language Models Can Infer Personality from Free-Form User Interactions","created":"2024-05-19","cited_by_count":8,"area":null},{"id":"2308.02935","title":"Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems","created":"2023-08-05","cited_by_count":7,"area":null},{"id":"2408.00992","title":"Fairness in Large Language Models in Three Hours","created":"2024-08-02","cited_by_count":7,"area":null},{"id":"2409.11149","title":"SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration","created":"2024-09-17","cited_by_count":6,"area":null},{"id":"2410.06415","title":"Biased AI can Influence Political Decision-Making","created":"2024-10-08","cited_by_count":6,"area":null},{"id":"2503.08750","title":"Exposing Product Bias in LLM Investment Recommendation","created":"2025-03-11","cited_by_count":6,"area":null},{"id":"2312.15478","title":"A Group Fairness Lens for Large Language Models","created":"2023-12-24","cited_by_count":4,"area":null},{"id":"2402.14258","title":"Eagle: Ethical Dataset Given from Real Interactions","created":"2024-02-22","cited_by_count":4,"area":null},{"id":"2502.20231","title":"AI Will Always Love You: Studying Implicit Biases in Romantic AI Companions","created":"2025-02-27","cited_by_count":4,"area":null},{"id":"2504.07982","title":"Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2504.18560","title":"Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages","created":"2025-04-19","cited_by_count":4,"area":null},{"id":"2308.09810","title":"An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software","created":"2023-08-18","cited_by_count":3,"area":null},{"id":"2601.08768","title":"AI as Entertainment","created":"2026-01-13","cited_by_count":2,"area":null},{"id":"2605.03217","title":"Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability","created":"2026-05-04","cited_by_count":2,"area":"mechinterp"},{"id":"2606.14068","title":"Harsher on Male? Evaluating LLMs on Gender-Asymmetric Moral Framing Across Diverse Conflict Scenarios","created":"2026-06-12","cited_by_count":2,"area":null},{"id":"2604.02669","title":"Redirected, Not Removed: Task-Dependent Stereotyping Reveals the Limits of LLM Alignments","created":"2026-04-03","cited_by_count":1,"area":"alignment"},{"id":"2605.00382","title":"Social Bias in LLM-Generated Code: Benchmark and Mitigation","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2503.16740","title":"Automated Harmfulness Testing for Code Large Language Models","created":"2025-03-20","cited_by_count":0,"area":"safety"},{"id":"2512.00556","title":"Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2602.10295","title":"ECHO: An Open Research Platform for Evaluation of Chat, Human Behavior, and Outcomes","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2604.20677","title":"Intersectional Fairness in Large Language Models","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2604.22089","title":"Ethics Testing: Proactive Identification of Generative AI System Harms","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2606.03036","title":"TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.05679","title":"RPAM: A Principled Metric for Evaluating Associations in Language Models with High Predictive Validity in Downstream Outputs","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2608.21415","title":"Mitigating Bias in Large Vision-Language Models via Counterfactual Ensemble Decoding","created":"2026-08-12","cited_by_count":0,"area":"mllm"},{"id":"2609.15995","title":"Bias Audits Detect Bias but Disagree on Ranking: Evidence from Ten Instruments and Ten Frontier Models","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}