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Who cites Antonio B. Torralba

2,894 citations of their works from 2,708 papers of our library (of the 149,439 whose bibliographies we read) · 535 with a page here, the most cited first · page 3 of 6 · 201–300 · ← Antonio B. Torralba

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  1. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetConference on Neural Information Processing Systems (NeurIPS)Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 213 citations
  2. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
  3. An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Zhang, Ruidan He, Zuozhu Liu, et al.2020 · 213 citations
  4. 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
  5. CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersInternational Conference on Computational Linguistics (COLING)Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.2020 · 206 citations
  6. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  7. Towards Faithful Model Explanation in NLP: A SurveyComputational LinguisticsQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 197 citations
  8. EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language UnderstandingConference on Neural Information Processing Systems (NeurIPS)Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik2023 · 195 citations
  9. Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsarXiv:2104.04670Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.2021 · 195 citations
  10. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 194 citations
  11. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
  12. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations
  13. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
  14. Supervised and Unsupervised Neural Approaches to Text ReadabilityComputational LinguisticsMatej Martinc, Senja Pollak, Marko Robnik-Šikonja2021 · 190 citations
  15. DuoRC: Towards Complex Language Understanding with Paraphrased Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al.2018 · 190 citations
  16. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
  17. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesLanguage Resources and Evaluation Conference (LREC)Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 181 citations
  18. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  19. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  20. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  21. Large Language Model UnlearningConference on Neural Information Processing Systems (NeurIPS)Yuanshun Yao, Xiaojun Xu, Yang Liu2023 · 174 citations
  22. Does it Make Sense? And Why? A Pilot Study for Sense Making and ExplanationAnnual Meeting of the Association for Computational Linguistics (ACL)Cunxiang Wang, Shuailong Liang, Yue Zhang, et al.2019 · 174 citations
  23. Unsupervised Opinion Summarization as Copycat-Review GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Arthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 173 citations
  24. Self-training Improves Pre-training for Natural Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jingfei Du, Edouard Grave, Beliz Gunel, et al.2021 · 172 citations
  25. Improving Machine Reading Comprehension with General Reading StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 172 citations
  26. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  27. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP)Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 169 citations
  28. Sustainable Modular Debiasing of Language ModelsFindings of the Association for Computational LinguisticsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  29. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationInternational Joint Conference on Artificial IntelligenceDongling Xiao, Han Zhang, Yukun Li, et al.2020 · 163 citations
  30. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 163 citations
  31. 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
  32. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  33. Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR)Bo Zhao, Konda Reddy Mopuri, Hakan Bilen2020 · 159 citations
  34. Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingarXiv:2210.03347Kenton Lee, Mandar Joshi, Iulia Turc, et al.2022 · 158 citations
  35. 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
  36. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  37. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusLanguage Resources and Evaluation Conference (LREC)Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 156 citations
  38. Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningConference on Neural Information Processing Systems (NeurIPS)Zirui Zhao, Wee Sun Lee, David Hsu2023 · 153 citations
  39. Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations
  40. Discourse Parsing with Attention-based Hierarchical Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Qi Li, Tianshi Li, Baobao Chang2016 · 150 citations
  41. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  42. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
  43. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
  44. Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.2021 · 147 citations
  45. Neural Net Models of Open-domain Discourse CoherenceConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2017 · 147 citations
  46. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  47. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 144 citations
  48. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
  49. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  50. RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation EvaluationConference on Machine Translation: Shared Task PapersHiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi2018 · 141 citations
  51. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
  52. Paragraph-level Simplification of Medical TextsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.2021 · 140 citations
  53. UER: An Open-Source Toolkit for Pre-training ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhe Zhao, Hui Chen, Jinbin Zhang, et al.2019 · 140 citations
  54. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
  55. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VarXiv:2310.11441Jianwei Yang, Hao Zhang, Feng Li, et al.2023 · 137 citations
  56. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  57. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewAnnual Meeting of the Association for Computational Linguistics (ACL)Jintian Zhang, Xin Xu, Ningyu Zhang, et al.2024 · 134 citations
  58. DisSent: Learning Sentence Representations from Explicit Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Allen Nie, Erin Bennett, Noah Goodman2019 · 134 citations
  59. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  60. Linguistic Features for Readability AssessmentWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Tovly Deutsch, Masoud Jasbi, Stuart Shieber2020 · 130 citations
  61. 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
  62. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  63. Learning Dense Representations of Phrases at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.2021 · 126 citations
  64. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  65. Learning Distributed Representations of Texts and Entities from Knowledge BaseTransactions of the Association for Computational Linguistics (TACL)Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.2017 · 125 citations
  66. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  67. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
  68. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
  69. Identifying and Controlling Important Neurons in Neural Machine TranslationarXiv:1811.01157Anthony Bau, Yonatan Belinkov, Hassan Sajjad, et al.2018 · 121 citations
  70. Knowledge of cultural moral norms in large language modelsAnnual Meeting of the Association for Computational Linguistics (ACL)Aida Ramezani, Yang Xu2023 · 120 citations
  71. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language ModelarXiv:1912.09637Wenhan Xiong, Jingfei Du, William Yang Wang, et al.2019 · 117 citations
  72. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  73. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
  74. SlideVQA: A Dataset for Document Visual Question Answering on Multiple ImagesProceedings of the AAAI Conference on Artificial IntelligenceRyota Tanaka, Kyosuke Nishida, Kosuke Nishida, et al.2023 · 116 citations
  75. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  76. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningConference on Neural Information Processing Systems (NeurIPS)Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.2023 · 115 citations
  77. A Dynamic LLM-Powered Agent Network for Task-Oriented Agent CollaborationarXiv:2310.02170Zijun Liu, Yanzhe Zhang, Peng Li, et al.2023 · 114 citations
  78. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
  79. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  80. Parallel Iterative Edit Models for Local Sequence TransductionarXiv:1910.02893Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, et al.2019 · 112 citations
  81. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
  82. What's in the Box? An Analysis of Undesirable Content in the Common Crawl CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Alexandra Luccioni, Joseph Viviano2021 · 111 citations
  83. Copyright Violations and Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Antonia Karamolegkou, Jiaang Li, Li Zhou, et al.2023 · 109 citations
  84. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  85. AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288Guangyao Chen, Siwei Dong, Yu Shu, et al.2023 · 107 citations
  86. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
  87. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  88. AnglE-optimized Text EmbeddingsarXiv:2309.12871Xianming Li, Jing Li2023 · 103 citations
  89. minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language ModelsarXiv:2203.13112Kanishka Misra2022 · 102 citations
  90. Debating with More Persuasive LLMs Leads to More Truthful AnswersarXiv:2402.06782Akbir Khan, John Hughes, Dan Valentine, et al.2024 · 101 citations
  91. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  92. 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
  93. Are Transformers universal approximators of sequence-to-sequence functions?arXiv:1912.10077Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, et al.2019 · 97 citations
  94. Dataset DistillationarXiv:1811.10959Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.2018 · 97 citations
  95. Probing Across Time: What Does RoBERTa Know and When?Findings of the Association for Computational LinguisticsLeo Z. Liu, Yizhong Wang, Jungo Kasai, et al.2021 · 96 citations
  96. LinCE: A Centralized Benchmark for Linguistic Code-switching EvaluationLanguage Resources and Evaluation Conference (LREC)Gustavo Aguilar, Sudipta Kar, Thamar Solorio2020 · 96 citations
  97. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
  98. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  99. Building Cooperative Embodied Agents Modularly with Large Language ModelsarXiv:2307.02485Hongxin Zhang, Weihua Du, Jiaming Shan, et al.2023 · 95 citations
  100. CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, et al.2019 · 94 citations

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