factuality evaluation

Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025 VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts EMNLP 2025 VeriFastScore: Speeding up long-form factuality evaluation EMNLP 2025 Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics ACL 2025 AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation NAACL 2024 An Analysis of Multilingual FActScore EMNLP 2024 Can I trust You? LLMs as conversational agents EACL 2024 Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains EACL 2024 F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation EMNLP 2024 FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024 FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction ACL 2024 Generating Benchmarks for Factuality Evaluation of Language Models EACL 2024 HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation NAACL 2024 Human Feedback is not Gold Standard ICLR 2024 Long-form factuality in large language models NeurIPS 2024 Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations ACL 2024 OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024 SyllabusQA: A Course Logistics Question Answering Dataset ACL 2024 Temporally Consistent Factuality Probing for Large Language Models EMNLP 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization NAACL 2024 VeriScore: Evaluating the factuality of verifiable claims in long-form text generation EMNLP 2024 Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs EMNLP 2023 Evaluating Factuality in Cross-lingual Summarization ACL 2023 FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge EMNLP 2023