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Who cites Jian Zhang

3,401 citations of their works from 3,396 papers of our library (of the 141,840 whose bibliographies we read) · 447 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Jian Zhang

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    AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsFindings of the Association for Computational LinguisticsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 564 citations
    Large Language Models Can Self-ImproveConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
    MIND: A Large-scale Dataset for News RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.2020 · 562 citations
    Simple and Effective Multi-Paragraph Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Christopher Clark, Matt Gardner2017 · 558 citations
  1. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 554 citations
  2. XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralizationarXiv:2003.11080Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.2020 · 552 citations
  3. SearchQA: A New Q&A Dataset Augmented with Context from a Search EnginearXiv:1704.05179Matthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 547 citations
  4. What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical ExamsarXiv:2009.13081Di Jin, Eileen Pan, Nassim Oufattole, et al.2020 · 546 citations
  5. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisarXiv:1904.02232Hu Xu, Bing Liu, Lei Shu, et al.2019 · 546 citations
    End-to-End Open-Domain Question Answering with BERTseriniConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wei Yang, Yuqing Xie, Aileen Lin, et al.2019 · 542 citations
  6. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 539 citations
  7. Machine Comprehension Using Match-LSTM and Answer PointerarXiv:1608.07905Shuohang Wang, Jing Jiang2016 · 532 citations
  8. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 529 citations
    Crowdsourcing Multiple Choice Science QuestionsWorkshop on Noisy User-generated TextJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 516 citations
  9. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 496 citations
  10. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 493 citations
    A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 490 citations
    Enabling Large Language Models to Generate Text with CitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 477 citations
    ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 477 citations
  11. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvaturearXiv:2301.11305Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 475 citations
  12. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 468 citations
  13. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTarXiv:1904.09077Shijie Wu, Mark Dredze2019 · 468 citations
  14. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 465 citations
    XCOPA: A Multilingual Dataset for Causal Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.2020 · 465 citations
  15. P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksarXiv:2110.07602Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.2021 · 464 citations
    From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.2020 · 461 citations
    LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 456 citations
    Exploring Pre-trained Language Models for Event Extraction and GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sen Yang, Dawei Feng, Linbo Qiao, et al.2019 · 454 citations
    ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingFindings of the Association for Computational LinguisticsWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 453 citations
  16. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 446 citations
    How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 444 citations
    Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot FlyAnnual Meeting of the Association for Computational Linguistics (ACL)Nora Kassner, Hinrich Schütze2020 · 431 citations
    Factual Probing Is [MASK]: Learning vs. Learning to RecallConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zexuan Zhong, Dan Friedman, Danqi Chen2021 · 411 citations
    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
  17. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
    TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in FinanceAnnual Meeting of the Association for Computational Linguistics (ACL)Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.2021 · 397 citations
    LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningInternational Joint Conference on Artificial IntelligenceJian Liu, Leyang Cui, Hanmeng Liu, et al.2020 · 397 citations
  18. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 391 citations
    Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 389 citations
  19. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 384 citations
    Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 381 citations
  20. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading ComprehensionarXiv:1810.12885Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.2018 · 381 citations
    ETC: Encoding Long and Structured Inputs in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, Santiago Ontañón, Chris Alberti, et al.2020 · 380 citations
  21. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual DataarXiv:2004.07347Wenhu Chen, Hanwen Zha, Zhiyu Chen, et al.2020 · 377 citations
    Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.2018 · 377 citations
  22. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 376 citations
    Transformers as Soft Reasoners over LanguageInternational Joint Conference on Artificial IntelligencePeter Clark, Oyvind Tafjord, Kyle Richardson2020 · 376 citations
    A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 374 citations
  23. WebArena: A Realistic Web Environment for Building Autonomous AgentsarXiv:2307.13854Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.2023 · 371 citations
    Question Generation for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Nan Duan, Duyu Tang, Peng Chen, et al.2017 · 370 citations
    Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Shengding Hu, Ning Ding, Huadong Wang, et al.2022 · 362 citations
    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
  24. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 361 citations
  25. Datasets: A Community Library for Natural Language ProcessingarXiv:2109.02846Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 359 citations
    Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 357 citations
    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 · 354 citations
  26. Large Language Models Struggle to Learn Long-Tail KnowledgearXiv:2211.08411Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 353 citations
    FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Esin Durmus, He He, Mona Diab2020 · 352 citations
    Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 349 citations
  27. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 348 citations
    T-REx: A Large Scale Alignment of Natural Language with Knowledge Base TriplesLanguage Resources and Evaluation Conference (LREC)Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, et al.2018 · 348 citations
    DREAM: A Challenge Data Set and Models for Dialogue-Based Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Jianshu Chen, et al.2019 · 333 citations
  28. Textbooks Are All You Need II: phi-1.5 technical reportarXiv:2309.05463Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al.2023 · 328 citations
  29. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 324 citations
  30. Generating Wikipedia by Summarizing Long SequencesarXiv:1801.10198Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.2018 · 317 citations
  31. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 314 citations
    Byte Pair Encoding is Suboptimal for Language Model PretrainingFindings of the Association for Computational LinguisticsKaj Bostrom, Greg Durrett2020 · 309 citations
  32. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
    Multi-hop Reading Comprehension through Question Decomposition and RescoringAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.2019 · 306 citations
    Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 304 citations
  33. ZeRO-Offload: Democratizing Billion-Scale Model TrainingarXiv:2101.06840Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021 · 303 citations
    Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.2019 · 303 citations
  34. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 302 citations
    SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 302 citations
    ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 302 citations
    Muppet: Massive Multi-task Representations with Pre-FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP)Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 299 citations
    UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 299 citations
    Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
    Entity-Based Knowledge Conflicts in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.2021 · 295 citations
    SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 295 citations
    Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
    QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
    emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsConference on Empirical Methods in Natural Language Processing (EMNLP)Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.2018 · 288 citations
    Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Minghao Hu, Yuxing Peng, Zhen Huang, et al.2019 · 287 citations
  35. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 285 citations
    Constructing Datasets for Multi-hop Reading Comprehension Across DocumentsTransactions of the Association for Computational Linguistics (TACL)Johannes Welbl, Pontus Stenetorp, Sebastian Riedel2018 · 284 citations
    API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Minghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 282 citations
  36. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 282 citations
    Contextualized Perturbation for Textual Adversarial AttackConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 282 citations
  37. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
    BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 279 citations
    XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
    A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
    Text Classification Using Label Names Only: A Language Model Self-Training ApproachConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.2020 · 274 citations
    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 · 272 citations
  38. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringarXiv:1911.10470Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 272 citations
  39. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingarXiv:2007.07834Zewen Chi, Li Dong, Furu Wei, et al.2020 · 271 citations
    Injecting Numerical Reasoning Skills into Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mor Geva, Ankit Gupta, Jonathan Berant2020 · 268 citations
  40. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
    MAVEN: A Massive General Domain Event Detection DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Ziqi Wang, Xu Han, et al.2020 · 260 citations

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