🧑‍🔬 Who cites Snigdha Chaturvedi

307 citations of their works from 307 papers of our library (of the 141,840 whose bibliographies we read) · 63 with a page here, the most cited first · ← Snigdha Chaturvedi

1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 13,703 citations
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,088 citations
3. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,190 citations
4. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,808 citations
5. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
   A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
   It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,122 citations
   GPT Understands, TooAI OpenXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,045 citations
6. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsDheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.2019 · 943 citations
   UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemFindings of the Association for Computational LinguisticsDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 844 citations
   ERASER: A Benchmark to Evaluate Rationalized NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 821 citations
7. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
8. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 479 citations
9. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 468 citations
10. True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 404 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
11. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 328 citations
    How many data points is a prompt worth?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Teven Le Scao, Alexander Rush2021 · 316 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
    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
12. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 285 citations
    Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL)Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
    A Diagnostic Study of Explainability Techniques for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 273 citations
    The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
13. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
    Reframing Instructional Prompts to GPTk's LanguageFindings of the Association for Computational LinguisticsSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
    Learning to Faithfully Rationalize by ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 223 citations
    HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationFindings of the Association for Computational LinguisticsYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 221 citations
    Measuring Association Between Labels and Free-Text RationalesConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 215 citations
    Towards a Unified Multi-Dimensional Evaluator for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Zhong, Yang Liu, Da Yin, et al.2022 · 205 citations
    A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
    MuTual: A Dataset for Multi-Turn Dialogue ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leyang Cui, Yu Wu, Shujie Liu, et al.2020 · 190 citations
    Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations
14. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
    What Makes Reading Comprehension Questions Easier?Conference on Empirical Methods in Natural Language Processing (EMNLP)Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.2018 · 178 citations
    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
    Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.2021 · 167 citations
    Revisiting Joint Modeling of Cross-document Entity and Event Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Shany Barhom, Vered Shwartz, Alon Eirew, et al.2019 · 164 citations
15. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
    INFOTABS: Inference on Tables as Semi-structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.2020 · 150 citations
    Understanding Dataset Design Choices for Multi-hop ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Greg Durrett2019 · 146 citations
    Full Parameter Fine-tuning for Large Language Models with Limited ResourcesAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Lv, Yuqing Yang, Tengxiao Liu, et al.2024 · 143 citations
    An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.2020 · 137 citations
16. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
    Investigating Prior Knowledge for Challenging Chinese Machine Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 133 citations
    What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
    ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 121 citations
    Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 111 citations
    Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 103 citations
17. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesarXiv:2401.15391Yixuan Tang, Yi Yang2024 · 103 citations
    Text Modular Networks: Learning to Decompose Tasks in the Language of Existing ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tushar Khot, Daniel Khashabi, Kyle Richardson, et al.2021 · 94 citations
18. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 93 citations
19. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
    Event Coreference Resolution with their Paraphrases and Argument-aware EmbeddingsInternational Conference on Computational Linguistics (COLING)Yutao Zeng, Xiaolong Jin, Saiping Guan, et al.2020 · 50 citations
20. STARC: Structured Annotations for Reading ComprehensionYevgeni Berzak, Jonathan Malmaud, Roger Levy2020 · 39 citations
21. ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation MetricsChantal Amrhein, Nikita Moghe, Liane Guillou2022 · 29 citations
    Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
    New Protocols and Negative Results for Textual Entailment Data CollectionConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.2020 · 27 citations
22. Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated WorldsIgor Labutov, Bishan Yang, Anusha Prakash, et al.2018 · 17 citations
    Coreference Reasoning in Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 citations
23. When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! PrincipleJudith Sieker, Sina Zarrieß2023 · 9 citations
24. Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection ModelsAhmad Aljanaideh2025 · 3 citations
    Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024

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