{"total":96,"rows":[{"id":"2310.13548","title":"Towards Understanding Sycophancy in Language Models","created":"2023-10-20","cited_by_count":1040,"area":null},{"id":"2304.13734","title":"The Internal State of an LLM Knows When It's Lying","created":"2023-04-26","cited_by_count":659,"area":null},{"id":"2304.09848","title":"Evaluating Verifiability in Generative Search Engines","created":"2023-04-19","cited_by_count":303,"area":null},{"id":"2307.14324","title":"Evaluating the Moral Beliefs Encoded in LLMs","created":"2023-07-26","cited_by_count":215,"area":null},{"id":"2410.20290","title":"Fast Best-of-N Decoding via Speculative Rejection","created":"2024-10-26","cited_by_count":112,"area":null},{"id":"2310.11501","title":"CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations","created":"2023-10-17","cited_by_count":97,"area":null},{"id":"2408.03943","title":"Building Machines that Learn and Think with People","created":"2024-07-22","cited_by_count":73,"area":null},{"id":"2407.02996","title":"Are Large Language Models Consistent over Value-laden Questions?","created":"2024-07-03","cited_by_count":58,"area":null},{"id":"2311.16153","title":"Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications","created":"2023-11-07","cited_by_count":54,"area":null},{"id":"2306.11816","title":"Learning to Generate Better Than Your LLM","created":"2023-06-20","cited_by_count":49,"area":null},{"id":"2309.01291","title":"Generative Social Choice","created":"2023-09-03","cited_by_count":43,"area":null},{"id":"2306.11932","title":"Opportunities and Risks of LLMs for Scalable Deliberation with Polis","created":"2023-06-20","cited_by_count":42,"area":null},{"id":"2402.07844","title":"Mercury: A Code Efficiency Benchmark for Code Large Language Models","created":"2024-02-12","cited_by_count":35,"area":null},{"id":"2402.10614","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements","created":"2024-02-16","cited_by_count":34,"area":null},{"id":"2405.13001","title":"Large Language Models for Education: A Survey","created":"2024-05-12","cited_by_count":34,"area":null},{"id":"2402.06544","title":"Calibrating Long-form Generations from Large Language Models","created":"2024-02-09","cited_by_count":32,"area":null},{"id":"2405.19479","title":"Participation in the age of foundation models","created":"2024-05-29","cited_by_count":32,"area":null},{"id":"2405.20956","title":"A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians","created":"2024-05-31","cited_by_count":29,"area":null},{"id":"2305.03731","title":"Working Memory Capacity of ChatGPT: An Empirical Study","created":"2023-04-30","cited_by_count":23,"area":null},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18,"area":null},{"id":"2310.08394","title":"Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization","created":"2023-10-12","cited_by_count":18,"area":null},{"id":"2310.14424","title":"Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation","created":"2023-10-22","cited_by_count":18,"area":null},{"id":"2402.14147","title":"Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia","created":"2024-02-21","cited_by_count":18,"area":null},{"id":"2404.15720","title":"Annotator-Centric Active Learning for Subjective NLP Tasks","created":"2024-04-24","cited_by_count":18,"area":null},{"id":"2306.14858","title":"Proportional Aggregation of Preferences for Sequential Decision Making","created":"2023-06-26","cited_by_count":17,"area":null},{"id":"2302.00672","title":"'Generative CI' through Collective Response Systems","created":"2023-02-01","cited_by_count":13,"area":null},{"id":"2311.16254","title":"Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models","created":"2023-11-27","cited_by_count":12,"area":null},{"id":"2309.05030","title":"Decolonial AI Alignment: Openness, Vi\\'{s}e\\d{s}a-Dharma, and Including Excluded Knowledges","created":"2023-09-10","cited_by_count":10,"area":null},{"id":"2403.17125","title":"The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition","created":"2024-03-25","cited_by_count":10,"area":null},{"id":"2505.22939","title":"Generative Social Choice: The Next Generation","created":"2025-05-28","cited_by_count":10,"area":null},{"id":"2305.16347","title":"Prompt Evolution for Generative AI: A Classifier-Guided Approach","created":"2023-05-24","cited_by_count":9,"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":"2310.00435","title":"Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards","created":"2023-09-30","cited_by_count":8,"area":null},{"id":"2404.18255","title":"PatentGPT: A Large Language Model for Intellectual Property","created":"2024-04-28","cited_by_count":8,"area":null},{"id":"2406.10942","title":"Effective Generative AI: The Human-Algorithm Centaur","created":"2024-06-16","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":"2307.02191","title":"Evaluating AI systems under uncertain ground truth: a case study in dermatology","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2310.02457","title":"The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising \"Alignment\" in Large Language Models","created":"2023-10-03","cited_by_count":7,"area":null},{"id":"2402.19366","title":"Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency","created":"2024-02-29","cited_by_count":7,"area":null},{"id":"2403.08607","title":"MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models","created":"2024-03-13","cited_by_count":7,"area":null},{"id":"2512.01351","title":"Benchmarking Overton Pluralism in LLMs","created":"2025-12-01","cited_by_count":7,"area":null},{"id":"2311.04928","title":"Leveraging Large Language Models for Collective Decision-Making","created":"2023-11-03","cited_by_count":6,"area":null},{"id":"2403.09713","title":"A Hybrid Intelligence Method for Argument Mining","created":"2024-03-11","cited_by_count":6,"area":null},{"id":"2412.09988","title":"AI and the Future of Digital Public Squares","created":"2024-12-13","cited_by_count":6,"area":null},{"id":"2510.05154","title":"Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs","created":"2025-10-02","cited_by_count":6,"area":null},{"id":"2311.06720","title":"Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer","created":"2023-11-12","cited_by_count":5,"area":null},{"id":"2403.00188","title":"Impact of Decentralized Learning on Player Utilities in Stackelberg Games","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2403.16347","title":"ChatGPT Incorrectness Detection in Software Reviews","created":"2024-03-25","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":"2605.10310","title":"Positive Alignment: Artificial Intelligence for Human Flourishing","created":"2026-05-11","cited_by_count":5,"area":null},{"id":"2305.11460","title":"Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions","created":"2023-05-19","cited_by_count":4,"area":null},{"id":"2401.10938","title":"Even-if Explanations: Formal Foundations, Priorities and Complexity","created":"2024-01-17","cited_by_count":4,"area":null},{"id":"2503.07690","title":"Artificial Intelligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide","created":"2025-03-10","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":"2412.11625","title":"Fool Me, Fool Me: User Attitudes Toward LLM Falsehoods","created":"2024-12-16","cited_by_count":3,"area":null},{"id":"2412.14675","title":"LLMs as mediators: Can they diagnose conflicts accurately?","created":"2024-12-19","cited_by_count":3,"area":null},{"id":"2412.16725","title":"Enhancing Conflict Resolution in Language Models via Abstract Argumentation","created":"2024-12-21","cited_by_count":3,"area":null},{"id":"2506.06837","title":"AI-Generated Compromises for Coalition Formation","created":"2025-06-07","cited_by_count":3,"area":null},{"id":"2404.11973","title":"A critical review of methods and challenges in large language models","created":"2024-04-18","cited_by_count":2,"area":null},{"id":"2404.13906","title":"Generating Attractive and Authentic Copywriting from Customer Reviews","created":"2024-04-22","cited_by_count":2,"area":null},{"id":"2405.09439","title":"Facilitating Opinion Diversity through Hybrid NLP Approaches","created":"2024-05-15","cited_by_count":2,"area":null},{"id":"2410.18841","title":"From Efficiency to Equity: Measuring Fairness in Preference Learning","created":"2024-10-24","cited_by_count":2,"area":null},{"id":"2502.09644","title":"From Argumentation to Deliberation: Perspectivized Stance Vectors for Fine-grained (Dis)agreement Analysis","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2505.19558","title":"PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2506.15925","title":"Reranking-based Generation for Unbiased Perspective Summarization","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2212.12633","title":"Inclusive Artificial Intelligence","created":"2022-12-24","cited_by_count":1,"area":null},{"id":"2307.11319","title":"\"Tidy Up the Table\": Grounding Common-sense Objective for Tabletop Object Rearrangement","created":"2023-07-21","cited_by_count":1,"area":null},{"id":"2311.08706","title":"Aligned: A Platform-based Process for Alignment","created":"2023-11-15","cited_by_count":1,"area":null},{"id":"2410.05496","title":"Intuitions of Compromise: Utilitarianism vs. Contractualism","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2502.01127","title":"The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2508.19264","title":"The Variance Paradox: How AI Reduces Diversity but Increases Novelty","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2510.12689","title":"From Delegates to Trustees: How Optimizing for Long-Term Interests Shapes Bias and Alignment in LLM","created":"2025-10-14","cited_by_count":1,"area":null},{"id":"2510.16368","title":"The Burden of Interactive Alignment with Inconsistent Preferences","created":"2025-10-18","cited_by_count":1,"area":null},{"id":"2603.16751","title":"Finding Common Ground in a Sea of Alternatives","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2605.16245","title":"AI-Mediated Communication Can Steer Collective Opinion","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2307.13173","title":"Opinion Mining Using Population-tuned Generative Language Models","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2407.12143","title":"False consensus biases AI against vulnerable stakeholders","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2408.11936","title":"Estimating Contribution Quality in Online Deliberations Using a Large Language Model","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2503.24028","title":"Pay More Attention to the Robustness of Prompt for Instruction Data Mining","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2507.11502","title":"HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2508.20176","title":"RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2512.05983","title":"AI-Generated Compromises for Coalition Formation: Modeling, Simulation, and a Textual Case Study","created":"2025-11-27","cited_by_count":0,"area":null},{"id":"2512.15792","title":"A Multifaceted Analysis of Social Biases in Large Language Models","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.04207","title":"Ideology as a Problem: Lightweight Logit Steering for Annotator-Specific Alignment in Social Media Analysis","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2601.05904","title":"Can AI mediation improve democratic deliberation?","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2602.11924","title":"Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2604.05368","title":"AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.15140","title":"DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.24536","title":"Generating Place-Based Compromises Between Two Points of View","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.09119","title":"Personalized Alignment Revisited: The Necessity and Sufficiency of User Diversity","created":"2026-05-09","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":"2605.27747","title":"Soft Specialists: $\\alpha$-R\\'enyi Ensembles for Uncertainty-Aware LLM Post-Training","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.10235","title":"Consensus vs. Dissent: Dynamic LLM Modeling of Subjective Preferences in Group Recommenders","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2608.10045","title":"Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.29446","title":"Whose Assessment of Distress? Community Perspectives and LLM Alignment on Well-Being Posts","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.00508","title":"CoVer: Conflict-Aware Claim Verification","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}