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factual accuracy

105 papers

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Co-occurring keywords

large language model (12755) hallucination detection (505) retrieval-augmented generation (1459) hallucination mitigation (306) text generation (2903) language model (4573) question answering (2904) multilingual nlp (1423) knowledge graph (1795) long-form generation (49)

Papers

G2LDetect: A Global-to-Local Approach for Hallucination Detection AAAI 2025
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information ACL 2025
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models EMNLP 2025
Atomic Consistency Preference Optimization for Long-Form Question Answering AACL 2025
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications AACL 2025
Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review ACL 2025
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models AACL 2025
LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTa ACL 2025
HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection ACL 2025
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists EMNLP 2024
A Survey of Confidence Estimation and Calibration in Large Language Models NAACL 2024
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo NAACL 2024
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study NAACL 2024
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge IJCAI 2024
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations ACL 2024
Unlearning Climate Misinformation in Large Language Models ACL 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024
Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training NAACL 2024
A Closer Look at Claim Decomposition NAACL 2024
Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NIPS 2024
Generating Benchmarks for Factuality Evaluation of Language Models EACL 2024
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models SEMEVAL 2024