factual accuracy

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists EMNLP 2024 Generating Benchmarks for Factuality Evaluation of Language Models EACL 2024 Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study NAACL 2024 HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs EACL 2024 Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo NAACL 2024 Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training NAACL 2024 InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers ACL 2024 Know When To Stop: A Study of Semantic Drift in Text Generation NAACL 2024 Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations ACL 2024 MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024 MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge IJCAI 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts ACL 2024 Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation ACL 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NeurIPS 2024 Unlearning Climate Misinformation in Large Language Models ACL 2024 Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 Credible without Credit: Domain Experts Assess Generative Language Models ACL 2023 Evaluating and Modeling Attribution for Cross-Lingual Question Answering EMNLP 2023 Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023 Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains EMNLP 2023 WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia EMNLP 2023