factual error

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs ACL 2025 Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions ACL 2024 A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection EMNLP 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023 Emptying the Ocean with a Spoon: Should We Edit Models? EMNLP 2023 Factual or Contextual? Disentangling Error Types in Entity Description Generation ACL 2023 Factual Relation Discrimination for Factuality-oriented Abstractive Summarization EMNLP 2023 FELM: Benchmarking Factuality Evaluation of Large Language Models NeurIPS 2023 FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge EMNLP 2023 Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023 LM vs LM: Detecting Factual Errors via Cross Examination EMNLP 2023 Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA EMNLP 2023 Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors ACL 2023 Analyzing and Evaluating Faithfulness in Dialogue Summarization EMNLP 2022 Phrase-Level Localization of Inconsistency Errors in Summarization by Weak Supervision COLING 2022 ESTIME: Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings EMNLP 2021 Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization EMNLP 2021 Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics NAACL 2021