{"total":24,"rows":[{"id":"2409.00138","title":"PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action","created":"2024-08-29","cited_by_count":171,"area":null},{"id":"2401.07927","title":"Are self-explanations from Large Language Models faithful?","created":"2024-01-15","cited_by_count":101,"area":null},{"id":"2412.18544","title":"Consistency Checks for Language Model Forecasters","created":"2024-12-24","cited_by_count":27,"area":null},{"id":"2401.13986","title":"Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning","created":"2024-01-25","cited_by_count":26,"area":null},{"id":"2406.13261","title":"BeHonest: Benchmarking Honesty in Large Language Models","created":"2024-06-19","cited_by_count":24,"area":null},{"id":"2401.08574","title":"Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability","created":"2024-01-16","cited_by_count":22,"area":null},{"id":"2411.12951","title":"On the Consistency of Video Large Language Models in Temporal Comprehension","created":"2024-11-20","cited_by_count":18,"area":null},{"id":"2506.21521","title":"Potemkin Understanding in Large Language Models","created":"2025-06-26","cited_by_count":15,"area":null},{"id":"2505.00268","title":"Consistency in Language Models: Current Landscape, Challenges, and Future Directions","created":"2025-05-01","cited_by_count":14,"area":null},{"id":"2503.11256","title":"Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries","created":"2025-03-14","cited_by_count":7,"area":null},{"id":"2410.13852","title":"Retrospective Learning from Interactions","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2609.33209","title":"Beyond Calibration: Do a Typed-Decision Model's Probabilities Obey the Probability Axioms?","created":"2026-09-27","cited_by_count":6,"area":null},{"id":"2510.11407","title":"KnowRL: Teaching Language Models to Know What They Know","created":"2025-10-13","cited_by_count":5,"area":null},{"id":"2601.12186","title":"Aletheia: What Makes RLVR For Code Verifiers Tick?","created":"2026-01-17","cited_by_count":5,"area":null},{"id":"2503.04113","title":"Uncovering Gaps in How Humans and LLMs Interpret Subjective Language","created":"2025-03-06","cited_by_count":4,"area":null},{"id":"2504.11381","title":"RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2507.03152","title":"MedVAL: Toward Expert-Level Medical Text Validation with Language Models","created":"2025-07-03","cited_by_count":3,"area":null},{"id":"2412.15683","title":"Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses","created":"2024-12-20","cited_by_count":2,"area":null},{"id":"2506.18998","title":"Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2511.08916","title":"HalluClean: A Unified Framework to Combat Hallucinations in LLMs","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2310.16343","title":"Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models","created":"2023-10-25","cited_by_count":0,"area":null},{"id":"2606.21008","title":"The Metanym Game: An LLM Benchmark Without Ground Truth That Rises With the Models It Measures","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.02668","title":"Improving LLMs via Validator-to-Generator Alignment","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2609.33142","title":"Knowing Is Not Choosing: What Explicit Verification Adds Beyond Generative Preference","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}