🔗 Who cites «Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models»

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
3. A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsarXiv:2401.01313S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.2024 · 249 citations
4. A Survey of Hallucination in Large Foundation ModelsarXiv:2309.05922Vipula Rawte, Amit Sheth, Amitava Das2023 · 226 citations
5. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
6. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
7. R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanning Zhang, Shizhe Diao, Yong Lin, et al.2024 · 99 citations
8. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
9. Comparing Hallucination Detection Metrics for Multilingual GenerationarXiv:2402.10496Haoqiang Kang, Terra Blevins, Luke Zettlemoyer2024 · 18 citations
10. JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query GenerationFindings of the Association for Computational LinguisticsFan Xu, Huixuan Zhang, Zhenliang Zhang, et al.2026
11. Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African LanguagesFindings of the Association for Computational LinguisticsSello Ralethe, Jan Buys2026

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

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