---
title: "Who cites Towards Effective Extraction and — 14 citing papers"
description: "14 papers of the Elamur Research library cite «Towards Effective Extraction and Evaluation of Factual Claims», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/metropolitansky-2025-effective-extraction-evaluation-factual-claims/cited-by/"
---
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# Who cites «Towards Effective Extraction and Evaluation of Factual Claims»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Towards Effective Extraction and Evaluation of Factual Claims»](https://md.research.elamur.ai/free/en/papers/metropolitansky-2025-effective-extraction-evaluation-factual-claims/)

1. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
2. **[Assessing the Belief Consistency of Large Language Models on the Logical Conversation Process](https://md.research.elamur.ai/free/en/papers/tsujimura-2026-assessing-belief-consistency-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomoki Tsujimura, Matīss Rikters, Masaki Asada, et al.*2026*
3. **[Better Scores, Worse Grounding: Hidden Regressions after Fine-Tuning in Dialogue Fact Verification](https://md.research.elamur.ai/free/en/papers/park-2026-better-scores-worse-grounding-hidden/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Hyunkyung Park, Arkaitz Zubiaga*2026*
4. **[Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation](https://md.research.elamur.ai/free/en/papers/teng-2026-beyond-static-artifacts-evolutionary-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yeqing Teng, Jiasheng Si, Shuxia Lin, et al.*2026*
5. **[Distill and Align Decomposition for Enhanced Claim Verification](https://md.research.elamur.ai/free/en/papers/magomere-2026-distill-align-decomposition-enhanced-claim/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jabez Magomere, Elena Kochkina, Samuel Mensah, et al.*2026*
6. **[JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-jointcq-improving-factual-hallucination-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fan Xu, Huixuan Zhang, Zhenliang Zhang, et al.*2026*
7. **[Multimodal Claim Extraction for Fact-Checking](https://md.research.elamur.ai/free/en/papers/teo-2026-multimodal-claim-extraction-fact-checking/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Joycelyn Teo, Rui Cao, Zhenyun Deng, et al.*2026*

7 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/metropolitansky-2025-effective-extraction-evaluation-factual-claims/) — Towards Effective Extraction and Evaluation of Factual Claims