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Who cites Varsha Kishore

3,892 citations of their works from 3,883 papers of our library (of the 149,439 whose bibliographies we read) · 625 with a page here, the most cited first · page 2 of 7 · 101–200 · ← Varsha Kishore

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  1. Fill in the BLANC: Human-free quality estimation of document summariesWorkshop on Evaluation and Comparison of NLP SystemsOleg Vasilyev, Vedant Dharnidharka, John Bohannon2020 · 155 citations
  2. Scientific Large Language Models: A Survey on Biological & Chemical DomainsACM Computing SurveysQiang Zhang, Keyang Ding, Tianwen Lyv, et al.2024 · 154 citations
  3. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 153 citations
  4. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
  5. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine TextAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.2022 · 152 citations
  6. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a SummaryTransactions of the Association for Computational Linguistics (TACL)Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth2021 · 152 citations
  7. Investigating Pretrained Language Models for Graph-to-Text GenerationWorkshop on Natural Language Processing for Conversational AILeonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.2021 · 151 citations
  8. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  9. Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Nuno M. Guerreiro, Elena Voita, André Martins2023 · 149 citations
  10. Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Uri Shaham, Samuel R. Bowman, et al.2022 · 148 citations
  11. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
  12. Quality-Aware Decoding for Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Patrick Fernandes, António Farinhas, Ricardo Rei, et al.2022 · 146 citations
  13. Quantifying Privacy Risks of Masked Language Models Using Membership Inference AttacksConference on Empirical Methods in Natural Language Processing (EMNLP)Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, et al.2022 · 146 citations
  14. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations
  15. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Lishan Huang, Zheng Ye, Jinghui Qin, et al.2020 · 144 citations
  16. What Have We Achieved on Text Summarization?Conference on Empirical Methods in Natural Language Processing (EMNLP)Dandan Huang, Leyang Cui, Sen Yang, et al.2020 · 143 citations
  17. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  18. On The Evaluation of Machine Translation Systems Trained With Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.2020 · 140 citations
  19. All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational QualityConference on Empirical Methods in Natural Language Processing (EMNLP)William Timkey, Marten van Schijndel2021 · 139 citations
  20. FaithDial: A Faithful Benchmark for Information-Seeking DialogueTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.2022 · 138 citations
  21. Affective and Contextual Embedding for Sarcasm DetectionInternational Conference on Computational Linguistics (COLING)Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
  22. Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
  23. Few-Shot Self-Rationalization with Natural Language PromptsFindings of the Association for Computational LinguisticsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  24. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  25. FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 133 citations
  26. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
  27. SciMON: Scientific Inspiration Machines Optimized for NoveltyAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyun Wang, Doug Downey, Heng Ji, et al.2023 · 131 citations
  28. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  29. GO FIGURE: A Meta Evaluation of Factuality in SummarizationFindings of the Association for Computational LinguisticsSaadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.2021 · 130 citations
  30. Learning Compact Metrics for MTConference on Empirical Methods in Natural Language Processing (EMNLP)Amy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
  31. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationFindings of the Association for Computational LinguisticsYang Deng, Lizi Liao, Liang Chen, et al.2023 · 129 citations
  32. Human-like Summarization Evaluation with ChatGPTarXiv:2304.02554Mingqi Gao, Jie Ruan, Renliang Sun, et al.2023 · 128 citations
  33. A Comprehensive Assessment of Dialog Evaluation MetricsThe First Workshop on Evaluations and Assessments of Neural Conversation SystemsYi-Ting Yeh, Maxine Eskenazi, Shikib Mehri2021 · 128 citations
  34. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
  35. Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
  36. The Moral Integrity Corpus: A Benchmark for Ethical Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Caleb Ziems, Jane A. Yu, Yi-Chia Wang, et al.2022 · 122 citations
  37. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  38. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
  39. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 117 citations
  40. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 117 citations
  41. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
  42. A Statistical Analysis of Summarization Evaluation Metrics Using Resampling MethodsTransactions of the Association for Computational Linguistics (TACL)Daniel Deutsch, Rotem Dror, Dan Roth2021 · 117 citations
  43. Med-Flamingo: a Multimodal Medical Few-shot LearnerarXiv:2307.15189Michael Moor, Qian Huang, Shirley Wu, et al.2023 · 116 citations
  44. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.2023 · 114 citations
  45. Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical StudyFindings of the Association for Computational LinguisticsYi Chen, Rui Wang, Haiyun Jiang, et al.2023 · 113 citations
  46. Unlimiformer: Long-Range Transformers with Unlimited Length InputConference on Neural Information Processing Systems (NeurIPS)Amanda Bertsch, Uri Alon, Graham Neubig, et al.2023 · 111 citations
  47. Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, et al.2021 · 107 citations
  48. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
  49. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 106 citations
  50. Evaluating the Evaluation of Diversity in Natural Language GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Guy Tevet, Jonathan Berant2021 · 106 citations
  51. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  52. LENS: A Learnable Evaluation Metric for Text SimplificationAnnual Meeting of the Association for Computational Linguistics (ACL)Mounica Maddela, Yao Dou, David Heineman, et al.2023 · 104 citations
  53. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Bowen Tan, Zhengzhong Liu, et al.2021 · 102 citations
  54. Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.2022 · 100 citations
  55. Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Jannis Bulian, Christian Buck, Wojciech Gajewski, et al.2022 · 100 citations
  56. UniTE: Unified Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wan, Dayiheng Liu, Baosong Yang, et al.2022 · 100 citations
  57. Unbabel's Participation in the WMT20 Metrics Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 98 citations
  58. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  59. SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health SupportFindings of the Association for Computational LinguisticsHuachuan Qiu, Hongliang He, Shuai Zhang, et al.2024 · 95 citations
  60. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Xiao Liu, Hanyu Lai, Hao Yu, et al.2023 · 95 citations
  61. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
  62. FineSurE: Fine-grained Summarization Evaluation using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 92 citations
  63. f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqiao Wen, Zichao Li, Wenyu Du, et al.2023 · 92 citations
  64. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  65. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
  66. Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»Michele Bevilacqua, Marco Maru, Roberto Navigli2020 · 90 citations
  67. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringarXiv:2311.06668Sheng Liu, Haotian Ye, Lei Xing, et al.2023 · 89 citations
  68. RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.2023 · 89 citations
  69. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adian Liusie, Potsawee Manakul, Mark Gales2024 · 87 citations
  70. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  71. AgentReview: Exploring Peer Review Dynamics with LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.2024 · 86 citations
  72. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
  73. Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Lianhui Qin, Vered Shwartz, Peter West, et al.2020 · 86 citations
  74. Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.2021 · 84 citations
  75. PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsarXiv:2307.02762Ruosen Li, Teerth Patel, Xinya Du2023 · 83 citations
  76. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
  77. In-Context Learning with Long-Context Models: An In-Depth ExplorationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Amanda Bertsch, Maor Ivgi, Emily Xiao, et al.2025 · 81 citations
  78. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  79. AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive SummarizationArabic Natural Language Processing Workshop (WANLP)Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, et al.2022 · 80 citations
  80. Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.2024 · 78 citations
  81. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
  82. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
  83. Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text SummarizationComputational LinguisticsMd Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang2022 · 76 citations
  84. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
  85. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  86. Small Language Models Learn Enhanced Reasoning Skills from Medical TextbooksarXiv:2404.00376Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, et al.2024 · 75 citations
  87. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationarXiv:2305.13091 · Findings of EMNLP 2023Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 75 citations
  88. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
  89. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing TasksLanguage Resources and Evaluation Conference (LREC)Ruiyang Zhou, Lu Chen, Kai Yu2024 · 74 citations
  90. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
  91. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
  92. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
  93. Automatic Generation of Socratic Subquestions for Teaching Math Word ProblemsConference on Empirical Methods in Natural Language Processing (EMNLP)Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, et al.2022 · 70 citations
  94. Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level MetricConference on Machine Translation (WMT)Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.2022 · 68 citations
  95. On Context Utilization in Summarization with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mathieu Ravaut, Aixin Sun, Nancy Chen, et al.2024 · 67 citations
  96. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsACM Conference on Learning @ Scale (L@S)Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
  97. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
  98. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 63 citations
  99. A Fine-Grained Analysis of BERTScoreConference on Machine Translation (WMT)Michael Hanna, Ondřej Bojar2021 · 63 citations
  100. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations

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