{"total":44,"rows":[{"id":"2410.02707","title":"LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations","created":"2024-10-03","cited_by_count":244,"area":null},{"id":"2401.06730","title":"Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty","created":"2024-01-12","cited_by_count":106,"area":null},{"id":"2407.03282","title":"LLM Internal States Reveal Hallucination Risk Faced With a Query","created":"2024-07-03","cited_by_count":82,"area":null},{"id":"2404.15993","title":"Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach","created":"2024-04-24","cited_by_count":76,"area":null},{"id":"2410.13640","title":"Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation","created":"2024-10-17","cited_by_count":57,"area":null},{"id":"2506.10805","title":"Detecting High-Stakes Interactions with Activation Probes","created":"2025-06-12","cited_by_count":53,"area":null},{"id":"2406.04175","title":"Confabulation: The Surprising Value of Large Language Model Hallucinations","created":"2024-06-06","cited_by_count":43,"area":null},{"id":"2406.14673","title":"Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell","created":"2024-06-20","cited_by_count":36,"area":null},{"id":"2406.14785","title":"Understanding Finetuning for Factual Knowledge Extraction","created":"2024-06-20","cited_by_count":32,"area":null},{"id":"2410.20774","title":"Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation","created":"2024-10-28","cited_by_count":29,"area":null},{"id":"2410.22257","title":"FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation","created":"2024-10-29","cited_by_count":25,"area":null},{"id":"2312.04021","title":"A Study on the Calibration of In-context Learning","created":"2023-12-07","cited_by_count":22,"area":null},{"id":"2403.15115","title":"Language Models in Dialogue: Conversational Maxims for Human-AI Interactions","created":"2024-03-22","cited_by_count":21,"area":null},{"id":"2506.00823","title":"Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks","created":"2025-06-01","cited_by_count":18,"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":"2502.03799","title":"Enhancing Hallucination Detection through Noise Injection","created":"2025-02-06","cited_by_count":13,"area":null},{"id":"2409.14459","title":"Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis","created":"2024-09-22","cited_by_count":12,"area":null},{"id":"2510.15804","title":"Emergence of Linear Truth Encodings in Language Models","created":"2025-10-17","cited_by_count":12,"area":null},{"id":"2605.26242","title":"Can LLMs Introspect? A Reality Check","created":"2026-05-25","cited_by_count":12,"area":null},{"id":"2401.16713","title":"Prospects for inconsistency detection using large language models and sheaves","created":"2024-01-30","cited_by_count":10,"area":null},{"id":"2406.17513","title":"Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models","created":"2024-06-25","cited_by_count":8,"area":null},{"id":"2605.11161","title":"Interpretability Can Be Actionable","created":"2026-05-11","cited_by_count":7,"area":null},{"id":"2404.08517","title":"Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward","created":"2024-04-12","cited_by_count":6,"area":null},{"id":"2509.23782","title":"Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions","created":"2025-09-28","cited_by_count":6,"area":null},{"id":"2605.01428","title":"Hallucinations Undermine Trust; Metacognition is a Way Forward","created":"2026-05-02","cited_by_count":5,"area":null},{"id":"2410.21716","title":"A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution","created":"2024-10-29","cited_by_count":4,"area":null},{"id":"2507.06306","title":"Humans overrely on overconfident language models, across languages","created":"2025-07-08","cited_by_count":3,"area":null},{"id":"2508.06030","title":"Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2602.02467","title":"Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models","created":"2026-02-02","cited_by_count":3,"area":null},{"id":"2508.17767","title":"ISACL: Internal State Analyzer for Copyrighted Training Data Leakage","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2604.03754","title":"Testing the Limits of Truth Directions in LLMs","created":"2026-04-04","cited_by_count":2,"area":null},{"id":"2402.11777","title":"Uncovering Latent Human Wellbeing in Language Model Embeddings","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2409.17172","title":"What Would You Ask When You First Saw $a^2+b^2=c^2$? Evaluating LLM on Curiosity-Driven Questioning","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2410.02343","title":"Listening to the Wise Few: Query-Key Alignment Unlocks Latent Correct Answers in Large Language Models","created":"2024-10-03","cited_by_count":1,"area":null},{"id":"2505.09807","title":"Exploring the generalization of LLM truth directions on conversational formats","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2607.16799","title":"Diagnosing Correctness Probes under Self-Judgement Confounding","created":"2026-07-18","cited_by_count":1,"area":null},{"id":"2609.07943","title":"Beliefs and Behavior in Language Models","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2609.11216","title":"Legible Failures: Detecting and Repairing In-Context Binding Errors","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2408.07045","title":"TableGuard -- Securing Structured & Unstructured Data","created":"2024-08-13","cited_by_count":0,"area":null},{"id":"2409.13972","title":"Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2602.07253","title":"From Out-of-Distribution Detection to Hallucination Detection: A Geometric View","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.22299","title":"Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2606.22633","title":"Confident but Conflicted: Internal Uncertainty and Cognitive Dissonance Resolution in LLMs","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.09306","title":"Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins","created":"2026-07-10","cited_by_count":0,"area":null}],"next_cursor":null}