factual correctness

Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs EACL 2026 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026 A Closer Look at Machine Unlearning for Large Language Models ICLR 2025 JudgeBench: A Benchmark for Evaluating LLM-Based Judges ICLR 2025 Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning? ACL 2025 RATT: A Thought Structure for Coherent and Correct LLM Reasoning AAAI 2025 Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation EMNLP 2025 Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation NAACL 2025 Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 Detecting Response Generation Not Requiring Factual Judgment NAACL 2024 GREEN: Generative Radiology Report Evaluation and Error Notation EMNLP 2024 On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024 Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024 An Investigation of Evaluation Methods in Automatic Medical Note Generation ACL 2023 Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue ACL 2023 Knowledge-Augmented Language Model Verification EMNLP 2023 Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities ACL 2023 Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework ACL 2023 Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation EMNLP 2022 Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards EMNLP 2022 Narrate Dialogues for Better Summarization EMNLP 2022 X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization EMNLP 2022 IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization NAACL 2021 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020