factuality evaluation

62 papers

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large language model (12755) hallucination detection (505) factual consistency (121) text generation (2903) retrieval-augmented generation (1459) abstractive summarization (631) text summarization (889) natural language inference (1278) language model (4573) evidence retrieval (229)

Papers

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models ICCV 2025

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts EMNLP 2025

FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation ACL 2025

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

An Analysis of Multilingual FActScore EMNLP 2024

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024

FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction ACL 2024

SyllabusQA: A Course Logistics Question Answering Dataset ACL 2024

F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation EMNLP 2024

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains EACL 2024

Can I trust You? LLMs as conversational agents EACL 2024

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation NAACL 2024

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization NAACL 2024

Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations ACL 2024

Temporally Consistent Factuality Probing for Large Language Models EMNLP 2024

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024

VeriScore: Evaluating the factuality of verifiable claims in long-form text generation EMNLP 2024

Long-form factuality in large language models NIPS 2024

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge EMNLP 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models NIPS 2023

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization ACL 2023

NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization ACL 2023

LM vs LM: Detecting Factual Errors via Cross Examination EMNLP 2023