Towards Effective Extraction and Evaluation of Factual Claims
Fuente:
arXiv
Saved in:
| Main Authors: | Metropolitansky, Dasha, Larson, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VeriTrail: Closed-Domain Hallucination Detection with Traceability
by: Metropolitansky, Dasha, et al.
Published: (2025)
by: Metropolitansky, Dasha, et al.
Published: (2025)
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
by: Scirè, Alessandro, et al.
Published: (2024)
by: Scirè, Alessandro, et al.
Published: (2024)
All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
by: Wanner, Miriam, et al.
Published: (2025)
by: Wanner, Miriam, et al.
Published: (2025)
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by: Edge, Darren, et al.
Published: (2024)
by: Edge, Darren, et al.
Published: (2024)
Core: Robust Factual Precision with Informative Sub-Claim Identification
by: Jiang, Zhengping, et al.
Published: (2024)
by: Jiang, Zhengping, et al.
Published: (2024)
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations
by: Chiang, Cheng-Han, et al.
Published: (2024)
by: Chiang, Cheng-Han, et al.
Published: (2024)
MedScore: Generalizable Factuality Evaluation of Free-Form Medical Answers by Domain-adapted Claim Decomposition and Verification
by: Huang, Heyuan, et al.
Published: (2025)
by: Huang, Heyuan, et al.
Published: (2025)
JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
by: Xu, Fan, et al.
Published: (2025)
by: Xu, Fan, et al.
Published: (2025)
Towards Better Evaluation for Generated Patent Claims
by: Jiang, Lekang, et al.
Published: (2025)
by: Jiang, Lekang, et al.
Published: (2025)
FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
by: Shin, Hagyeong, et al.
Published: (2025)
by: Shin, Hagyeong, et al.
Published: (2025)
Understanding Finetuning for Factual Knowledge Extraction
by: Ghosal, Gaurav, et al.
Published: (2024)
by: Ghosal, Gaurav, et al.
Published: (2024)
OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)
by: Wang, Yuxia, et al.
Published: (2024)
mFACE: Multilingual Summarization with Factual Consistency Evaluation
by: Aharoni, Roee, et al.
Published: (2022)
by: Aharoni, Roee, et al.
Published: (2022)
DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
by: Huang, Minghui
Published: (2025)
by: Huang, Minghui
Published: (2025)
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis
by: Scirè, Alessandro, et al.
Published: (2024)
by: Scirè, Alessandro, et al.
Published: (2024)
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
by: Yu, Fangyi, et al.
Published: (2025)
by: Yu, Fangyi, et al.
Published: (2025)
Document-level Claim Extraction and Decontextualisation for Fact-Checking
by: Deng, Zhenyun, et al.
Published: (2024)
by: Deng, Zhenyun, et al.
Published: (2024)
Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
by: Ye, Yuxuan, et al.
Published: (2026)
by: Ye, Yuxuan, et al.
Published: (2026)
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics
by: Ullrich, Herbert, et al.
Published: (2025)
by: Ullrich, Herbert, et al.
Published: (2025)
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity
by: Cui, Shiyao, et al.
Published: (2023)
by: Cui, Shiyao, et al.
Published: (2023)
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
by: Yang, Yijun, et al.
Published: (2024)
by: Yang, Yijun, et al.
Published: (2024)
Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
by: Samarinas, Chris, et al.
Published: (2025)
by: Samarinas, Chris, et al.
Published: (2025)
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
by: Ramprasad, Sanjana, et al.
Published: (2024)
by: Ramprasad, Sanjana, et al.
Published: (2024)
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
by: Yuan, Jiaqing, et al.
Published: (2024)
by: Yuan, Jiaqing, et al.
Published: (2024)
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction
by: Wu, Qinyuan, et al.
Published: (2024)
by: Wu, Qinyuan, et al.
Published: (2024)
Multimodal Claim Extraction for Fact-Checking
by: Teo, Joycelyn, et al.
Published: (2026)
by: Teo, Joycelyn, et al.
Published: (2026)
Using Similarity to Evaluate Factual Consistency in Summaries
by: Ye, Yuxuan, et al.
Published: (2024)
by: Ye, Yuxuan, et al.
Published: (2024)
Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak
by: Makaiova, Lucia, et al.
Published: (2025)
by: Makaiova, Lucia, et al.
Published: (2025)
Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization
by: Zhang, Yue, et al.
Published: (2024)
by: Zhang, Yue, et al.
Published: (2024)
LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
by: Zhang, Haiqi, et al.
Published: (2025)
by: Zhang, Haiqi, et al.
Published: (2025)
SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification
by: Elaraby, Mohamed, et al.
Published: (2025)
by: Elaraby, Mohamed, et al.
Published: (2025)
Inside-Out: Hidden Factual Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2025)
by: Gekhman, Zorik, et al.
Published: (2025)
UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions
by: Tan, Chuanyuan, et al.
Published: (2025)
by: Tan, Chuanyuan, et al.
Published: (2025)
Improving Model Factuality with Fine-grained Critique-based Evaluator
by: Xie, Yiqing, et al.
Published: (2024)
by: Xie, Yiqing, et al.
Published: (2024)
Generating Benchmarks for Factuality Evaluation of Language Models
by: Muhlgay, Dor, et al.
Published: (2023)
by: Muhlgay, Dor, et al.
Published: (2023)
FAME: Towards Factual Multi-Task Model Editing
by: Zeng, Li, et al.
Published: (2024)
by: Zeng, Li, et al.
Published: (2024)
Grounded Visual Factualization: Factual Anchor-Based Finetuning for Enhancing MLLM Factual Consistency
by: Morbiato, Filippo, et al.
Published: (2025)
by: Morbiato, Filippo, et al.
Published: (2025)
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
by: Cheng, Xianfu, et al.
Published: (2025)
by: Cheng, Xianfu, et al.
Published: (2025)
Similar Items
-
VeriTrail: Closed-Domain Hallucination Detection with Traceability
by: Metropolitansky, Dasha, et al.
Published: (2025) -
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
by: Scirè, Alessandro, et al.
Published: (2024) -
All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
by: Wanner, Miriam, et al.
Published: (2025) -
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by: Edge, Darren, et al.
Published: (2024) -
Core: Robust Factual Precision with Informative Sub-Claim Identification
by: Jiang, Zhengping, et al.
Published: (2024)