{"total":25,"rows":[{"id":"2407.18418","title":"Know Your Limits: A Survey of Abstention in Large Language Models","created":"2024-07-25","cited_by_count":121,"area":null},{"id":"2405.20974","title":"SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales","created":"2024-05-31","cited_by_count":105,"area":null},{"id":"2510.06265","title":"Large Language Models Hallucination: A Comprehensive Survey","created":"2025-10-05","cited_by_count":49,"area":null},{"id":"2509.25760","title":"TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning","created":"2025-09-30","cited_by_count":27,"area":null},{"id":"2406.13261","title":"BeHonest: Benchmarking Honesty in Large Language Models","created":"2024-06-19","cited_by_count":24,"area":null},{"id":"2406.12221","title":"On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation","created":"2024-06-18","cited_by_count":9,"area":null},{"id":"2505.17773","title":"C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models","created":"2025-05-23","cited_by_count":9,"area":null},{"id":"2505.14235","title":"Toward Embodied AGI: A Review of Embodied AI and the Road Ahead","created":"2025-05-20","cited_by_count":8,"area":null},{"id":"2407.04485","title":"Leveraging Graph Structures to Detect Hallucinations in Large Language Models","created":"2024-07-05","cited_by_count":7,"area":null},{"id":"2504.20084","title":"AI Awareness","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2506.06950","title":"What Makes a Good Natural Language Prompt?","created":"2025-06-07","cited_by_count":7,"area":null},{"id":"2402.09147","title":"Into the Unknown: Self-Learning Large Language Models","created":"2024-02-14","cited_by_count":5,"area":null},{"id":"2409.03021","title":"CLUE: Concept-Level Uncertainty Estimation for Large Language Models","created":"2024-09-04","cited_by_count":5,"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":"2408.01433","title":"Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks","created":"2024-07-18","cited_by_count":4,"area":null},{"id":"2504.02865","title":"The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2506.02696","title":"Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2511.21066","title":"Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection","created":"2025-11-26","cited_by_count":2,"area":null},{"id":"2607.01250","title":"Structuring the Space of Sociotechnical Alignment","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2604.10189","title":"FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness","created":"2026-04-11","cited_by_count":1,"area":null},{"id":"2406.05328","title":"FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models","created":"2024-06-08","cited_by_count":0,"area":null},{"id":"2510.12029","title":"CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2511.15005","title":"Mathematical Analysis of Hallucination Dynamics in Large Language Models: Uncertainty Quantification, Advanced Decoding, and Principled Mitigation","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2602.09486","title":"Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2604.14324","title":"Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness","created":"2026-04-15","cited_by_count":0,"area":null}],"next_cursor":null}