{"total":187,"rows":[{"id":"2310.17884","title":"Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory","created":"2023-10-27","cited_by_count":230,"area":null},{"id":"2109.05322","title":"Latent Hatred: A Benchmark for Understanding Implicit Hate Speech","created":"2021-09-11","cited_by_count":217,"area":null},{"id":"2307.14324","title":"Evaluating the Moral Beliefs Encoded in LLMs","created":"2023-07-26","cited_by_count":215,"area":null},{"id":"2103.11790","title":"Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do","created":"2021-03-08","cited_by_count":178,"area":null},{"id":"2402.10811","title":"Quantifying the Persona Effect in LLM Simulations","created":"2024-02-16","cited_by_count":169,"area":null},{"id":"2403.15412","title":"Towards Measuring and Modeling \"Culture\" in LLMs: A Survey","created":"2024-03-05","cited_by_count":167,"area":null},{"id":"2203.13722","title":"Probing Pre-Trained Language Models for Cross-Cultural Differences in Values","created":"2022-03-25","cited_by_count":149,"area":null},{"id":"2110.07574","title":"Can Machines Learn Morality? The Delphi Experiment","created":"2021-10-14","cited_by_count":141,"area":null},{"id":"2102.12060","title":"Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing","created":"2021-02-24","cited_by_count":126,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"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":"2308.10149","title":"A Survey on Fairness in Large Language Models","created":"2023-08-20","cited_by_count":95,"area":null},{"id":"2306.01943","title":"NLPositionality: Characterizing Design Biases of Datasets and Models","created":"2023-06-02","cited_by_count":94,"area":null},{"id":"2204.03021","title":"The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems","created":"2022-04-06","cited_by_count":93,"area":null},{"id":"2210.01478","title":"When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment","created":"2022-10-04","cited_by_count":93,"area":null},{"id":"2209.12106","title":"Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity","created":"2022-09-24","cited_by_count":74,"area":null},{"id":"2305.02750","title":"A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects","created":"2023-05-04","cited_by_count":66,"area":null},{"id":"2402.09369","title":"Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking","created":"2024-02-14","cited_by_count":63,"area":null},{"id":"2305.17008","title":"NormBank: A Knowledge Bank of Situational Social Norms","created":"2023-05-26","cited_by_count":60,"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":"2104.07644","title":"ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning","created":"2021-04-15","cited_by_count":58,"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":"2301.05036","title":"Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information","created":"2023-01-12","cited_by_count":52,"area":null},{"id":"2306.01857","title":"Knowledge of cultural moral norms in large language models","created":"2023-06-02","cited_by_count":51,"area":null},{"id":"2210.08604","title":"NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly","created":"2022-10-16","cited_by_count":48,"area":null},{"id":"2404.12464","title":"NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models","created":"2024-04-18","cited_by_count":48,"area":null},{"id":"2212.10409","title":"ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations","created":"2022-12-20","cited_by_count":36,"area":null},{"id":"2304.07987","title":"Chinese Open Instruction Generalist: A Preliminary Release","created":"2023-04-17","cited_by_count":35,"area":null},{"id":"2112.06346","title":"ValueNet: A New Dataset for Human Value Driven Dialogue System","created":"2021-12-12","cited_by_count":34,"area":null},{"id":"2211.07733","title":"Speaking Multiple Languages Affects the Moral Bias of Language Models","created":"2022-11-14","cited_by_count":34,"area":null},{"id":"2306.01985","title":"COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements","created":"2023-06-03","cited_by_count":34,"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":"2310.18974","title":"EtiCor: Corpus for Analyzing LLMs for Etiquettes","created":"2023-10-29","cited_by_count":33,"area":null},{"id":"2104.08790","title":"Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines","created":"2021-04-18","cited_by_count":32,"area":null},{"id":"2205.01975","title":"Aligning to Social Norms and Values in Interactive Narratives","created":"2022-05-04","cited_by_count":32,"area":null},{"id":"2309.12444","title":"Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI","created":"2023-09-21","cited_by_count":32,"area":null},{"id":"2205.12771","title":"Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy","created":"2022-05-25","cited_by_count":31,"area":null},{"id":"2301.13771","title":"The Touch\\'e23-ValueEval Dataset for Identifying Human Values behind Arguments","created":"2023-01-31","cited_by_count":28,"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":"2406.03930","title":"Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art","created":"2024-06-06","cited_by_count":26,"area":null},{"id":"2505.15229","title":"Multilingual Prompting for Improving LLM Generation Diversity","created":"2025-05-21","cited_by_count":25,"area":null},{"id":"2305.17701","title":"KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application","created":"2023-05-28","cited_by_count":24,"area":null},{"id":"2310.14563","title":"NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation","created":"2023-10-23","cited_by_count":24,"area":null},{"id":"2111.04158","title":"A Word on Machine Ethics: A Response to Jiang et al. (2021)","created":"2021-11-07","cited_by_count":23,"area":null},{"id":"2210.14531","title":"Unifying Data Perspectivism and Personalization: An Application to Social Norms","created":"2022-10-26","cited_by_count":22,"area":null},{"id":"2304.12026","title":"SocialDial: A Benchmark for Socially-Aware Dialogue Systems","created":"2023-04-24","cited_by_count":22,"area":null},{"id":"2305.14492","title":"Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment","created":"2023-05-23","cited_by_count":22,"area":null},{"id":"2311.09799","title":"How Far Can We Extract Diverse Perspectives from Large Language Models?","created":"2023-11-16","cited_by_count":22,"area":null},{"id":"2110.12349","title":"Think about it! Improving defeasible reasoning by first modeling the question scenario","created":"2021-10-24","cited_by_count":20,"area":null},{"id":"2402.10689","title":"Cultural Commonsense Knowledge for Intercultural Dialogues","created":"2024-02-16","cited_by_count":20,"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":"2506.12657","title":"Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics","created":"2025-06-14","cited_by_count":19,"area":null},{"id":"2112.08656","title":"DREAM: Improving Situational QA by First Elaborating the Situation","created":"2021-12-16","cited_by_count":18,"area":null},{"id":"2107.00281","title":"Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation","created":"2021-07-01","cited_by_count":17,"area":null},{"id":"2205.11658","title":"Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions","created":"2022-05-23","cited_by_count":17,"area":null},{"id":"2212.10720","title":"MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions","created":"2022-12-21","cited_by_count":17,"area":null},{"id":"2403.17368","title":"ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?","created":"2024-03-26","cited_by_count":17,"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":"2204.09438","title":"A Corpus for Understanding and Generating Moral Stories","created":"2022-04-20","cited_by_count":16,"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":"2504.02953","title":"Cultural Learning-Based Culture Adaptation of Language Models","created":"2025-04-03","cited_by_count":16,"area":null},{"id":"2109.07679","title":"Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset","created":"2021-09-16","cited_by_count":15,"area":null},{"id":"2310.15431","title":"What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations","created":"2023-10-24","cited_by_count":15,"area":null},{"id":"2312.07492","title":"SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models","created":"2023-12-12","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":"2103.07011","title":"Towards Socially Intelligent Agents with Mental State Transition and Human Utility","created":"2021-03-12","cited_by_count":14,"area":null},{"id":"2302.09270","title":"Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements","created":"2023-02-18","cited_by_count":14,"area":null},{"id":"2304.02144","title":"A Data Fusion Framework for Multi-Domain Morality Learning","created":"2023-04-04","cited_by_count":14,"area":null},{"id":"2310.13915","title":"Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research","created":"2023-10-21","cited_by_count":14,"area":null},{"id":"2402.11178","title":"RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations","created":"2024-02-17","cited_by_count":14,"area":null},{"id":"2510.05931","title":"Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens","created":"2025-10-07","cited_by_count":14,"area":null},{"id":"2212.06295","title":"Despite \"super-human\" performance, current LLMs are unsuited for decisions about ethics and safety","created":"2022-12-13","cited_by_count":13,"area":null},{"id":"2305.17696","title":"SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration","created":"2023-05-28","cited_by_count":13,"area":null},{"id":"2410.16638","title":"LLMScan: Causal Scan for LLM Misbehavior Detection","created":"2024-10-22","cited_by_count":13,"area":null},{"id":"2305.16577","title":"Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases","created":"2023-05-26","cited_by_count":12,"area":null},{"id":"2308.07902","title":"Through the Lens of Core Competency: Survey on Evaluation of Large Language Models","created":"2023-08-15","cited_by_count":12,"area":null},{"id":"2202.10848","title":"Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals","created":"2022-02-22","cited_by_count":11,"area":null},{"id":"2403.14659","title":"Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future","created":"2024-02-28","cited_by_count":11,"area":null},{"id":"2406.03953","title":"Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech","created":"2024-06-06","cited_by_count":11,"area":null},{"id":"2502.08080","title":"NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals","created":"2025-02-12","cited_by_count":11,"area":null},{"id":"2310.17857","title":"From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models","created":"2023-10-27","cited_by_count":10,"area":null},{"id":"2403.06009","title":"Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations","created":"2024-03-09","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":"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":"2501.07719","title":"Entailed Between the Lines: Incorporating Implication into NLI","created":"2025-01-13","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":"2210.10332","title":"Revision Transformers: Instructing Language Models to Change their Values","created":"2022-10-19","cited_by_count":8,"area":null},{"id":"2306.11432","title":"Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory","created":"2023-06-20","cited_by_count":8,"area":null},{"id":"2404.02340","title":"Corpus Considerations for Annotator Modeling and Scaling","created":"2024-04-02","cited_by_count":8,"area":null},{"id":"2305.12544","title":"Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models","created":"2023-05-21","cited_by_count":7,"area":null},{"id":"2311.09733","title":"MOKA: Moral Knowledge Augmentation for Moral Event Extraction","created":"2023-11-16","cited_by_count":7,"area":null},{"id":"2401.17228","title":"Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning","created":"2024-01-30","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":"2510.23182","title":"SI-Bench: Benchmarking Social Intelligence of Large Language Models in Human-to-Human Conversations","created":"2025-10-27","cited_by_count":7,"area":null},{"id":"2106.02833","title":"Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation","created":"2021-06-05","cited_by_count":6,"area":null},{"id":"2205.12181","title":"Partial-input baselines show that NLI models can ignore context, but they don't","created":"2022-05-24","cited_by_count":6,"area":null},{"id":"2301.08104","title":"Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community","created":"2023-01-19","cited_by_count":6,"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":"2502.14581","title":"A Statistical Case Against Empirical Human-AI Alignment","created":"2025-02-20","cited_by_count":6,"area":null}],"next_cursor":"100"}