{"total":57,"rows":[{"id":"2505.13995","title":"ELEPHANT: Measuring and understanding social sycophancy in LLMs","created":"2025-05-20","cited_by_count":129,"area":null},{"id":"2602.19141","title":"Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians","created":"2026-02-22","cited_by_count":21,"area":null},{"id":"2507.19218","title":"Technological folie \\`a deux: Feedback Loops Between AI Chatbots and Mental Illness","created":"2025-07-25","cited_by_count":15,"area":null},{"id":"2509.18052","title":"The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies","created":"2025-09-22","cited_by_count":14,"area":null},{"id":"2602.14270","title":"A Rational Analysis of the Effects of Sycophantic AI","created":"2026-02-15","cited_by_count":12,"area":null},{"id":"2509.10970","title":"The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models","created":"2025-09-13","cited_by_count":11,"area":null},{"id":"2508.09998","title":"INTIMA: A Benchmark for Human-AI Companionship Behavior","created":"2025-08-04","cited_by_count":8,"area":null},{"id":"2603.05651","title":"The Fragility Of Moral Judgment In Large Language Models","created":"2026-03-05","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":"2510.03999","title":"LH-Deception: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions","created":"2025-10-05","cited_by_count":7,"area":null},{"id":"2509.19163","title":"Measuring AI \"Slop\" in Text","created":"2025-09-23","cited_by_count":6,"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":"2511.14972","title":"Harmful Traits of AI Companions","created":"2025-11-18","cited_by_count":6,"area":null},{"id":"2601.16529","title":"SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care","created":"2026-01-23","cited_by_count":5,"area":null},{"id":"2603.00024","title":"Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Independence in LLMs","created":"2026-02-03","cited_by_count":5,"area":null},{"id":"2606.06306","title":"Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness","created":"2026-06-04","cited_by_count":4,"area":null},{"id":"2606.10949","title":"Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models","created":"2026-06-09","cited_by_count":4,"area":null},{"id":"2508.15815","title":"User-Assistant Bias in LLMs","created":"2025-08-16","cited_by_count":3,"area":null},{"id":"2510.16727","title":"Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models","created":"2025-10-19","cited_by_count":3,"area":null},{"id":"2603.18740","title":"Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2510.21180","title":"Social Simulations with Large Language Model Risk Utopian Illusion","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2601.08768","title":"AI as Entertainment","created":"2026-01-13","cited_by_count":2,"area":null},{"id":"2604.22749","title":"Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2604.23593","title":"When AI reviews science: Can we trust the referee?","created":"2026-04-26","cited_by_count":2,"area":null},{"id":"2605.09314","title":"How LLMs Are Persuaded: A Few Attention Heads, Rerouted","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2607.13477","title":"Auditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation","created":"2026-07-15","cited_by_count":2,"area":null},{"id":"2609.37616","title":"Authority Bias in Language Models: Source Deference and User Agreement Are Not Interchangeable","created":"2026-09-29","cited_by_count":2,"area":null},{"id":"2602.00851","title":"Persuasion Propagation: Does Persuasion Change AI Agent Behavior?","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2602.11244","title":"Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2602.24080","title":"Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction","created":"2026-02-27","cited_by_count":1,"area":null},{"id":"2603.03970","title":"Generative AI for Managerial Decision-Making under Ambiguity and Sycophancy","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2605.07462","title":"The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2607.23976","title":"This Is a Good Paper, Right? How Tag Questions Affect Sycophancy Across 106 Language Models","created":"2026-07-27","cited_by_count":1,"area":null},{"id":"2609.32867","title":"Are You Sure You're Sure? Two Confounds in a Sycophancy Benchmark","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2506.11110","title":"AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models","created":"2025-06-08","cited_by_count":0,"area":null},{"id":"2601.03285","title":"Feedback Indices to Evaluate LLM Responses to Rebuttals for Multiple Choice Type Questions","created":"2026-01-02","cited_by_count":0,"area":null},{"id":"2603.13378","title":"Do Large Language Models Get Caught in Hofstadter-Mobius Loops?","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2604.16009","title":"MEDLEY-BENCH: Benchmarking Behavioural Metacognition and Belief Revision Under Social Pressure in Large Language Models","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2604.26233","title":"Assessing and Explaining the Persuadability of Large Language Models as Legal Decision Tools","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.05403","title":"When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2605.14544","title":"Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.12923","title":"Order Is Not Control: Driven-Dissipative Response Laws Across Artificial and Biological Systems","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2606.30587","title":"Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.07766","title":"Alignment Plausibility: A New Standard for Assuring AI in Healthcare","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2608.06115","title":"Mind the Gaps: Mixture-of-Minds for Human Simulation","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.10030","title":"Causal Behavioral Evaluation of AI Agents at Scale via Automated Behavioral Science","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.14631","title":"Accuracy and Reliability of Large Language Models in Cosmetic Chemistry and Skin Health: A Benchmarking Study","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2608.16650","title":"PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.21325","title":"Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.25267","title":"Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2608.27465","title":"The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2609.23939","title":"XYEval: Agents say yes to bad advice","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.33672","title":"Reset Is Not Recovery: Evaluating Recoverability from False Conversational Context via Sycophancy Hysteresis","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35822","title":"Tracing mechanisms of sycophantic agreement in language models","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.04329","title":"Suppressing Pressure, Amplifying Evidence: Self-Guided Attention Steering to Mitigate Sycophancy and Stubbornness","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.06673","title":"The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.20200","title":"Drivers of LLM Consensus Formation Under Competing Incentives: A Simulation Study","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}