{"total":22,"rows":[{"id":"2502.00640","title":"CollabLLM: From Passive Responders to Active Collaborators","created":"2025-02-02","cited_by_count":124,"area":null},{"id":"2511.10262","title":"MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models","created":"2025-11-13","cited_by_count":22,"area":null},{"id":"2509.03888","title":"False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize","created":"2025-09-04","cited_by_count":19,"area":null},{"id":"2507.22168","title":"Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles","created":"2025-07-29","cited_by_count":16,"area":null},{"id":"2502.05240","title":"Survey on AI-Generated Media Detection: From Non-MLLM to MLLM","created":"2025-02-07","cited_by_count":12,"area":null},{"id":"2506.12263","title":"A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2506.17111","title":"Are Bias Evaluation Methods Biased ?","created":"2025-06-20","cited_by_count":4,"area":null},{"id":"2511.01187","title":"Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs","created":"2025-11-03","cited_by_count":3,"area":null},{"id":"2511.22924","title":"MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS","created":"2025-11-28","cited_by_count":3,"area":null},{"id":"2602.08901","title":"Mitigating Memorization Where It Happens","created":"2026-02-09","cited_by_count":2,"area":null},{"id":"2608.28327","title":"Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers","created":"2026-08-28","cited_by_count":2,"area":null},{"id":"2601.08668","title":"Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2601.12033","title":"Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection","created":"2026-01-17","cited_by_count":1,"area":null},{"id":"2603.09434","title":"Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2603.20581","title":"JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMs","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2604.12601","title":"LLM-Guided Prompt Evolution for Password Guessing","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2512.02043","title":"Mirror, Mirror on the Wall -- Which is the Best Model of Them All?","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2512.20649","title":"AIAuditTrack: A Framework for AI Security system","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2604.27550","title":"APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2608.20355","title":"ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2609.00728","title":"SOVER: Formal Certification of Optimization Reformulations via LLM-Assisted SMT Verification","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.38036","title":"Gender bias across LLMs is common and highly heterogeneous","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}