{"total":23,"rows":[{"id":"2505.13995","title":"ELEPHANT: Measuring and understanding social sycophancy in LLMs","created":"2025-05-20","cited_by_count":129,"area":null},{"id":"2407.06576","title":"Virtual Personas for Language Models via an Anthology of Backstories","created":"2024-07-09","cited_by_count":51,"area":null},{"id":"2502.07077","title":"Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models","created":"2025-02-10","cited_by_count":25,"area":null},{"id":"2407.07950","title":"Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance","created":"2024-07-10","cited_by_count":16,"area":null},{"id":"2407.08867","title":"Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey","created":"2024-07-11","cited_by_count":15,"area":null},{"id":"2505.12158","title":"The AI Gap: How Socioeconomic Status Affects Language Technology Interactions","created":"2025-05-17","cited_by_count":15,"area":null},{"id":"2502.13259","title":"HumT DumT: Measuring and controlling human-like language in LLMs","created":"2025-02-18","cited_by_count":12,"area":null},{"id":"2502.14019","title":"Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems","created":"2025-02-19","cited_by_count":11,"area":null},{"id":"2501.18045","title":"From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors","created":"2025-01-29","cited_by_count":10,"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":"2410.08526","title":"\"I Am the One and Only, Your Cyber BFF\": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI","created":"2024-10-11","cited_by_count":8,"area":null},{"id":"2604.02423","title":"SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy","created":"2026-04-02","cited_by_count":8,"area":null},{"id":"2510.01395","title":"Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence","created":"2025-10-01","cited_by_count":6,"area":null},{"id":"2512.17898","title":"Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally","created":"2025-12-19","cited_by_count":6,"area":null},{"id":"2408.06120","title":"How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics","created":"2024-08-12","cited_by_count":5,"area":null},{"id":"2601.16355","title":"Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans","created":"2026-01-22","cited_by_count":5,"area":null},{"id":"2410.03870","title":"From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2601.11329","title":"F-Actor: Controllable Conversational Behaviour in Full-Duplex Models","created":"2026-01-16","cited_by_count":3,"area":null},{"id":"2603.16874","title":"Disclosure By Design: Identity Transparency as a Behavioural Property of Conversational AI Models","created":"2026-01-27","cited_by_count":3,"area":null},{"id":"2606.00168","title":"RealityTest: How People Probe AI Identity and Whether Models Disclose It","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2604.07398","title":"Breaking the Illusion of Identity in LLM Tooling","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2608.20421","title":"Six misconceptions about large language models: A minimal model and diagnostic taxonomy","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.24654","title":"Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}