🧑‍🔬 Who cites Francesca Toni

294 citations of their works from 259 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Francesca Toni

1. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
2. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 647 citations
3. Can language models learn from explanations in context?Findings of the Association for Computational LinguisticsAndrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 295 citations
4. A Survey of the State of Explainable AI for Natural Language ProcessingConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Marina Danilevsky, Kun Qian, Ranit Aharonov, et al.2020 · 294 citations
5. A Diagnostic Study of Explainability Techniques for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 274 citations
6. Learning to Faithfully Rationalize by ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 225 citations
7. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
8. Retrieval of the Best Counterargument without Prior Topic KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Henning Wachsmuth, Shahbaz Syed, Benno Stein2018 · 197 citations
9. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
10. Explanations for CommonsenseQA: New Dataset and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.2021 · 164 citations
11. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
12. Evidence-based Fact-Checking of Health-related ClaimsFindings of the Association for Computational LinguisticsMourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.2021 · 129 citations
13. AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the WebarXiv:2305.13117Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos2023 · 101 citations
14. SciFact-Open: Towards open-domain scientific claim verificationFindings of the Association for Computational LinguisticsDavid Wadden, Kyle Lo, Bailey Kuehl, et al.2022 · 94 citations
15. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yunli Qi, et al.2025 · 91 citations
16. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
17. Explanation-Based Human Debugging of NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Piyawat Lertvittayakumjorn, Francesca Toni2021 · 77 citations
18. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
19. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
20. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
21. Evaluating Large Language Models for Health-related Queries with PresuppositionsFindings of the Association for Computational LinguisticsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
22. Tailoring Self-Rationalizers with Multi-Reward DistillationInternational Conference on Learning Representations (ICLR)Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.2023 · 14 citations
23. Can LLMs Automate Fact-Checking Article Writing?Transactions of the Association for Computational Linguistics (TACL)Dhruv Sahnan, David Corney, Irene Larraz, et al.2026 · 5 citations
24. Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online DebatesWorkshop on Argument MiningStefano Mezza, Wayne Wobcke, Alan Blair2024 · 4 citations
25. Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
26. KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Vítor Lourenço, Aline Paes, Tillman Weyde, et al.2026 · 2 citations
27. NSF-SciFy: Mining the NSF Awards Database for Scientific ClaimsAnnual Meeting of the Association for Computational Linguistics (ACL)Delip Rao, Weiqiu You, Eric Wong, et al.2026 · 2 citations
28. Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Schreieder, Tim Schopf, Michael Färber2026 · 1 citation
29. Constructing a Japanese Claim Decomposition Dataset for Fact-Checking of LLM-Generated TextsLanguage Resources and Evaluation Conference (LREC)Miwa Masano, Ribeka Keyaki, Atsushi Keyaki, et al.2026 · 1 citation
30. MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL)Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.2026 · 1 citation
31. ARAFA: An LLM-Generated Arabic Fact-Checking DatasetarXiv:2609.25833Christophe Khalil, Shady Elbassuoni, Rida Assaf2026
32. Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, et al.2026
33. Deconstruct, Diagnose, and Deliberate: A Protocol-Adaptive Role-Specific Multi-Agent Framework for Fake News DetectionFindings of the Association for Computational LinguisticsZhigan Zhang, Jie Sui2026
34. Pushing the Frontiers of Scientific Fact-Checking: The SCINLP DatasetFindings of the Association for Computational LinguisticsIffat Maab, Junichi Yamagishi2026
35. Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced FrameworkConference of the European Chapter of the Association for Computational Linguistics (EACL)Xinle Pang, Danding Wang, Qiang Sheng, et al.2026
36. DeformAr: Rethinking NER Evaluation through Component Analysis and Visual AnalyticsarXiv:2512.00938Ahmed Mustafa Younes2025

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