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Who cites Trevor Jackson Darrell

7,658 citations of their works from 5,295 papers of our library (of the 149,439 whose bibliographies we read) · 445 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Trevor Jackson Darrell

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  1. RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
  2. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  3. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  4. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  5. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  6. On the Automatic Generation of Medical Imaging ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Baoyu Jing, Pengtao Xie, Eric Xing2018 · 484 citations
  7. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
  8. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP)Linjie Li, Yen-Chun Chen, Yu Cheng, et al.2020 · 481 citations
  9. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  10. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  11. Distributional Semantics in TechnicolorAnnual Meeting of the Association for Computational Linguistics (ACL)Elia Bruni, Gemma Boleda, Marco Baroni, et al.2012 · 462 citations
  12. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 443 citations
  13. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
  14. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.2021 · 425 citations
  15. WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsConference on Neural Information Processing Systems (NeurIPS)Shunyu Yao, Howard Chen, John Yang, et al.2022 · 420 citations
  16. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningWorkshop on Representation Learning for NLPMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 407 citations
  17. ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question AnsweringProceedings of the AAAI Conference on Artificial IntelligenceZhou Yu, Dejing Xu, Jun Yu, et al.2019 · 403 citations
  18. FiLM: Visual Reasoning with a General Conditioning LayerarXiv:1709.07871Ethan Perez, Florian Strub, Harm de Vries, et al.2017 · 400 citations
  19. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
  20. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
  21. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 371 citations
  22. Analyzing the Behavior of Visual Question Answering ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Aishwarya Agrawal, Dhruv Batra, Devi Parikh2016 · 371 citations
  23. Combining Language and Vision with a Multimodal Skip-gram ModelConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Nghia The Pham, Marco Baroni2015 · 368 citations
  24. QuestEval: Summarization Asks for Fact-based EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 359 citations
  25. Learning to Navigate Unseen Environments: Back Translation with Environmental DropoutConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Tan, Licheng Yu, Mohit Bansal2019 · 358 citations
  26. Generating Natural Questions About an ImageAnnual Meeting of the Association for Computational Linguistics (ACL)Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, et al.2016 · 343 citations
  27. An Actor-Critic Algorithm for Sequence PredictionarXiv:1607.07086Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.2016 · 335 citations
  28. Search-based Neural Structured Learning for Sequential Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang2017 · 330 citations
  29. How Transferable are Neural Networks in NLP Applications?Conference on Empirical Methods in Natural Language Processing (EMNLP)Lili Mou, Zhao Meng, Rui Yan, et al.2016 · 328 citations
  30. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Pan Lu, Baolin Peng, Hao Cheng, et al.2023 · 327 citations
  31. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 322 citations
  32. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations
  33. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  34. Cross-Language Text Classification Using Structural Correspondence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peter Prettenhofer, Benno Stein2010 · 315 citations
  35. A Survey of Domain Adaptation for Neural Machine TranslationInternational Conference on Computational Linguistics (COLING)Chenhui Chu, Rui Wang2018 · 308 citations
  36. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  37. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  38. Can language models learn from explanations in context?Findings of the Association for Computational LinguisticsAndrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 295 citations
  39. Black Holes and White Rabbits: Metaphor Identification with Visual FeaturesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ekaterina Shutova, Douwe Kiela, Jean Maillard2016 · 293 citations
  40. Detecting Sarcasm in Multimodal Social PlatformsACM International Conference on Multimedia (ACM MM)Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 290 citations
  41. SPICE: Semantic Propositional Image Caption EvaluationarXiv:1607.08822Peter Anderson, Basura Fernando, Mark Johnson, et al.2016 · 289 citations
  42. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  43. Guided Open Vocabulary Image Captioning with Constrained Beam SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Peter Anderson, Basura Fernando, Mark Johnson, et al.2017 · 286 citations
  44. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsarXiv:1610.02424Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, et al.2016 · 282 citations
  45. TRUE: Re-evaluating Factual Consistency EvaluationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Or Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 279 citations
  46. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP)Ari Holtzman, Peter West, Vered Shwartz, et al.2021 · 277 citations
  47. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Angeliki Lazaridou, Georgiana Dinu, Marco Baroni2015 · 276 citations
  48. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  49. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  50. Handling Divergent Reference Texts when Evaluating Table-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019 · 268 citations
  51. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  52. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
  53. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  54. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  55. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
  56. Attention-based Multimodal Neural Machine TranslationConference on Machine Translation: Shared Task PapersPo-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al.2016 · 236 citations
  57. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
  58. Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Yongliang Shen, Xinyin Ma, Zeqi Tan, et al.2021 · 232 citations
  59. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  60. A Survey of Hallucination in Large Foundation ModelsarXiv:2309.05922Vipula Rawte, Amit Sheth, Amitava Das2023 · 226 citations
  61. How Language Model Hallucinations Can SnowballarXiv:2305.13534Muru Zhang, Ofir Press, William Merrill, et al.2023 · 226 citations
  62. Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Mor Geva, Ankit Gupta, et al.2020 · 222 citations
  63. Unsupervised Question Decomposition for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 222 citations
  64. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  65. Measuring Association Between Labels and Free-Text RationalesConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 220 citations
  66. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
  67. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
  68. Did the Model Understand the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, et al.2018 · 214 citations
  69. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
  70. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
  71. Logical Natural Language Generation from Open-Domain TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhu Chen, Jianshu Chen, Yu Su, et al.2020 · 210 citations
  72. Active Example Selection for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Zhang, Shi Feng, Chenhao Tan2022 · 209 citations
  73. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
  74. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  75. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and OverviewAnnual Meeting of the Association for Computational Linguistics (ACL)Deven Shah, H. Andrew Schwartz, Dirk Hovy2019 · 207 citations
  76. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningarXiv:2310.09478Jun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 199 citations
  77. Towards Faithful Model Explanation in NLP: A SurveyComputational LinguisticsQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 197 citations
  78. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  79. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsFindings of the Association for Computational LinguisticsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 193 citations
  80. Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Yan Zhang, Zhiyang Teng, et al.2019 · 193 citations
  81. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 189 citations
  82. AudioCaps: Generating Captions for Audios in The WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.2019 · 187 citations
  83. 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
  84. NILE : Natural Language Inference with Faithful Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Sawan Kumar, Partha Talukdar2020 · 184 citations
  85. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  86. Rethinking Cooperative Rationalization: Introspective Extraction and Complement ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Mo Yu, Shiyu Chang, Yang Zhang, et al.2019 · 179 citations
  87. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
  88. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 176 citations
  89. Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 174 citations
  90. Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shiyue Zhang, Mohit Bansal2019 · 174 citations
  91. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  92. DeepProbLog: Neural Probabilistic Logic ProgrammingarXiv:1805.10872Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.2018 · 172 citations
  93. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  94. Binding Language Models in Symbolic LanguagesarXiv:2210.02875Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 170 citations
  95. Semantic Noise Matters for Neural Natural Language GenerationInternational Natural Language Generation Conference (INLG)Ondřej Dušek, David M. Howcroft, Verena Rieser2019 · 164 citations
  96. 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
  97. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
  98. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 160 citations
  99. On Hallucination and Predictive Uncertainty in Conditional Language GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Yijun Xiao, William Yang Wang2021 · 157 citations
  100. Automatic Stance Detection Using End-to-End Memory NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mitra Mohtarami, Ramy Baly, James Glass, et al.2018 · 157 citations

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