🧑‍🔬 Who cites Prasetya Ajie Utama

295 citations of their works from 294 papers of our library (of the 140,884 whose bibliographies we read) · 43 with a page here, the most cited first · ← Prasetya Ajie Utama

1. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
2. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
3. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
4. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
5. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
6. Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsArtidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov2021 · 417 citations
7. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationEsin Durmus, He He, Mona Diab2020 · 350 citations
8. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceTal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
9. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
10. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
11. TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
12. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationShuyang Cao, Lu Wang2021 · 257 citations
13. Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
14. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology ReportsYuhao Zhang, Derek Merck, Emily Tsai, et al.2020 · 240 citations
15. Factual Error Correction for Abstractive Summarization ModelsMeng Cao, Yue Dong, Jiapeng Wu, et al.2020 · 217 citations
16. Annotating and Modeling Fine-grained Factuality in SummarizationTanya Goyal, Greg Durrett2021 · 215 citations
17. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
18. Evaluating Factuality in Generation with Dependency-level EntailmentTanya Goyal, Greg Durrett2020 · 201 citations
19. Challenges in Automated Debiasing for Toxic Language DetectionXuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 190 citations
20. Planning with Learned Entity Prompts for Abstractive SummarizationShashi Narayan, Yao Zhao, Joshua Maynez, et al.2021 · 180 citations
21. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
22. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
23. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
24. Investigating Pretrained Language Models for Graph-to-Text GenerationLeonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.2021 · 149 citations
25. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationTianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 140 citations
26. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
27. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
28. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsLiyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
29. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form SummarizationKalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.2023 · 112 citations
30. Metaphor Understanding Challenge Dataset for LLMsXiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
31. A Hard Nut to Crack: Idiom Detection with Conversational Large Language ModelsFrancesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, et al.2024 · 22 citations
32. Robustifying Multi-hop QA through Pseudo-Evidentiality TrainingKyungjae Lee, Seung-won Hwang, Sang-eun Han, et al.2021 · 19 citations
33. IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsZiheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.2023 · 11 citations
34. Coreference Reasoning in Machine Reading ComprehensionMingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 citations
35. SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance DetectionJianhua Yuan, Yanyan Zhao, Yanyue Lu, et al.2022 · 6 citations
36. No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language ModelsKellen Tan Cheng, Suma Bhat2024 · 3 citations
37. ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and RankingAtakan Site, Oğuz Ali Arslan, Gülşen Eryiğit2026 · 1 citation
38. SinFoS: A Parallel Dataset for Translating Sinhala Figures of SpeechJohan Nevin Sofalas, Dilushri Pavithra, Nevidu Jayatilleke, et al.2026 · 1 citation
39. DRInQ: Evaluating Conversational Implicature with Controlled Context VariationHirona Jacqueline Arai, Xiang Ren2026
40. Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object ConstructionsPrisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde2026
41. I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in MemesShijia Zhou, Saif M. Mohammad, Barbara Plank, et al.2026
42. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningMaggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
43. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

251 more citing papers of our library have no page here yet.

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