---
title: "Who cites DialFact: A Benchmark for Fact-Checking in Dialogue"
description: "52 papers of the Elamur Research library cite «DialFact: A Benchmark for Fact-Checking in Dialogue», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/gupta-2022-dialfact-benchmark-fact-checking-dialogue/cited-by/"
---
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# Who cites «DialFact: A Benchmark for Fact-Checking in Dialogue»

52 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «DialFact: A Benchmark for Fact-Checking in Dialogue»](https://md.research.elamur.ai/free/en/papers/gupta-2022-dialfact-benchmark-fact-checking-dialogue/)

1. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,957 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/)
2. [**HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 647 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/)
3. [**AlignScore: Evaluating Factual Consistency with A Unified Alignment Function**Yuheng Zha, Yichi Yang, Ruichen Li, et al.*2023 · 280 citations*](https://md.research.elamur.ai/free/en/papers/zha-2023-alignscore-evaluating-factual-consistency-unified/)
4. [**TRUE: Re-evaluating Factual Consistency Evaluation**Or Honovich, Roee Aharoni, Jonathan Herzig, et al.*2022 · 276 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2022-true-re-evaluating-factual-consistency/)
5. [**Evaluating Large Language Models: A Comprehensive Survey**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/)
6. [**FaithDial: A Faithful Benchmark for Information-Seeking Dialogue**Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/)
7. [**WiCE: Real-World Entailment for Claims in Wikipedia**Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/kamoi-2023-wice-real-world-entailment-claims/)
8. [**Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark**Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.*2022 · 99 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-evaluating-attribution-dialogue-systems-begin/)
9. [**Generating Benchmarks for Factuality Evaluation of Language Models**Dor Muhlgay, Ori Ram, Inbal Magar, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/muhlgay-2024-generating-benchmarks-factuality-evaluation-language/)
10. [**Better Scores, Worse Grounding: Hidden Regressions after Fine-Tuning in Dialogue Fact Verification**Hyunkyung Park, Arkaitz Zubiaga*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-better-scores-worse-grounding-hidden/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/gupta-2022-dialfact-benchmark-fact-checking-dialogue/) — DialFact: A Benchmark for Fact-Checking in Dialogue