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Who cites Lav R. Varshney

620 citations of their works from 613 papers of our library (of the 149,439 whose bibliographies we read) · 131 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Lav R. Varshney

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  1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  2. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,224 citations
  3. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  4. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  5. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
  6. Toolformer: Language Models Can Teach Themselves to Use ToolsConference on Neural Information Processing Systems (NeurIPS)Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,065 citations
  7. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  8. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of DataAnnual Meeting of the Association for Computational Linguistics (ACL)Emily M. Bender, Alexander Koller2020 · 1,382 citations
  9. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings of the Association for Computational LinguisticsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,306 citations
  10. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  11. Recipes for Building an Open-Domain ChatbotConference of the European Chapter of the Association for Computational Linguistics (EACL)Stephen Roller, Emily Dinan, Naman Goyal, et al.2021 · 1,214 citations
  12. Prompt Programming for Large Language Models: Beyond the Few-Shot ParadigmExtended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)Laria Reynolds, Kyle McDonell2021 · 1,121 citations
  13. Social Bias Frames: Reasoning about Social and Power Implications of LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.2020 · 684 citations
  14. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
  15. Towards a Human-like Open-Domain ChatbotarXiv:2001.09977Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 592 citations
  16. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationarXiv:1912.02164Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 578 citations
  17. Release Strategies and the Social Impacts of Language ModelsarXiv:1908.09203Irene Solaiman, Miles Brundage, Jack Clark, et al.2019 · 554 citations
  18. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  19. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  20. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  21. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  22. Diffusion-LM Improves Controllable Text GenerationarXiv:2205.14217Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 440 citations
  23. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  24. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Alisa Liu, Maarten Sap, Ximing Lu, et al.2021 · 409 citations
  25. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.2023 · 403 citations
  26. A Simple Language Model for Task-Oriented DialoguearXiv:2005.00796Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.2020 · 399 citations
  27. TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueConference on Empirical Methods in Natural Language Processing (EMNLP)Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.2020 · 361 citations
  28. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 350 citations
  29. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
  30. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  31. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  32. Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend SkillsAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Michael Smith, Mary Williamson, Kurt Shuster, et al.2020 · 289 citations
  33. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 277 citations
  34. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsarXiv:2309.03883Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 269 citations
  35. TLDR: Extreme Summarization of Scientific DocumentsFindings of the Association for Computational LinguisticsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 262 citations
  36. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
  37. Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING)Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 247 citations
  38. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 245 citations
  39. FUDGE: Controlled Text Generation With Future DiscriminatorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kevin Yang, Dan Klein2021 · 239 citations
  40. TweepFake: about Detecting Deepfake TweetsPLoS ONETiziano Fagni, Fabrizio Falchi, Margherita Gambini, et al.2020 · 234 citations
  41. Teaching language models to support answers with verified quotesarXiv:2203.11147Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 218 citations
  42. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
  43. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 210 citations
  44. On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nouha Dziri, Sivan Milton, Mo Yu, et al.2022 · 208 citations
  45. Optimus: Organizing Sentences via Pre-trained Modeling of a Latent SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Chunyuan Li, Xiang Gao, Yuan Li, et al.2020 · 208 citations
  46. Training Question Answering Models From Synthetic DataConference on Empirical Methods in Natural Language Processing (EMNLP)Raul Puri, Ryan Spring, Mohammad Shoeybi, et al.2020 · 208 citations
  47. DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Bosheng Ding, Linlin Liu, Lidong Bing, et al.2020 · 203 citations
  48. Recipes for Safety in Open-domain ChatbotsarXiv:2010.07079Jing Xu, Da Ju, Margaret Li, et al.2020 · 201 citations
  49. Authorship Attribution for Neural Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Adaku Uchendu, Thai Le, Kai Shu, et al.2020 · 196 citations
  50. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLParXiv:2112.10508Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 191 citations
  51. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  52. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  53. KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Yu Su, Xifeng Yan, et al.2020 · 174 citations
  54. Towards Controllable Biases in Language GenerationFindings of the Association for Computational LinguisticsEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2020 · 171 citations
  55. Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 170 citations
  56. Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 167 citations
  57. Language Models as Agent ModelsFindings of the Association for Computational LinguisticsJacob Andreas2022 · 165 citations
  58. MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.2020 · 158 citations
  59. Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path GroundingConference on Empirical Methods in Natural Language Processing (EMNLP)Nouha Dziri, Andrea Madotto, Osmar Zaïane, et al.2021 · 152 citations
  60. 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
  61. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  62. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionFindings of the Association for Computational LinguisticsYew Ken Chia, Lidong Bing, Soujanya Poria, et al.2022 · 141 citations
  63. Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable FeaturesAnnual Meeting of the Association for Computational Linguistics (ACL)Hannah Rashkin, David Reitter, Gaurav Singh Tomar, et al.2021 · 141 citations
  64. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
  65. Detoxifying Language Models Risks Marginalizing Minority VoicesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Albert Xu, Eshaan Pathak, Eric Wallace, et al.2021 · 137 citations
  66. Secrets of RLHF in Large Language Models Part I: PPOarXiv:2307.04964Rui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 135 citations
  67. It's Morphin' Time! Combating Linguistic Discrimination with Inflectional PerturbationsAnnual Meeting of the Association for Computational Linguistics (ACL)Samson Tan, Shafiq Joty, Min-Yen Kan, et al.2020 · 131 citations
  68. Controllable Natural Language Generation with Contrastive PrefixesFindings of the Association for Computational LinguisticsJing Qian, Li Dong, Yelong Shen, et al.2022 · 130 citations
  69. Improved Natural Language Generation via Loss TruncationAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Kang, Tatsunori B. Hashimoto2020 · 130 citations
  70. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
  71. PEER: A Collaborative Language ModelarXiv:2208.11663Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, et al.2022 · 126 citations
  72. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  73. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
  74. 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
  75. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 121 citations
  76. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
  77. 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
  78. Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
  79. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
  80. Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 112 citations
  81. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
  82. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 109 citations
  83. On the Reliability of Watermarks for Large Language ModelsarXiv:2306.04634John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.2023 · 103 citations
  84. Aspect-Controlled Neural Argument GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych2021 · 103 citations
  85. Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsValentin, Hofmann2021 · 102 citations
  86. 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
  87. Tailor: Generating and Perturbing Text with Semantic ControlsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Ross, Tongshuang Wu, Hao Peng, et al.2022 · 93 citations
  88. RQ-RAG: Learning to Refine Queries for Retrieval Augmented GenerationarXiv:2404.00610Chi-Min Chan, Chunpu Xu, Ruibin Yuan, et al.2024 · 90 citations
  89. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
  90. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
  91. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
  92. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  93. 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
  94. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
  95. AraGPT2: Pre-Trained Transformer for Arabic Language GenerationArabic Natural Language Processing Workshop (WANLP)Wissam Antoun, Fady Baly, Hazem Hajj2021 · 79 citations
  96. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  97. The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-DeterminismConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yifan Song, Guoyin Wang, Sujian Li, et al.2025 · 64 citations
  98. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  99. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
  100. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations

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