🧑‍🔬 Who cites Sarath Chandar

589 citations of their works from 583 papers of our library (of the 149,439 whose bibliographies we read) · 73 with a page here, the most cited first · ← Sarath Chandar

1. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
2. Lost in the Middle: How Language Models Use Long ContextsTransactions of the Association for Computational Linguistics (TACL)Nelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,584 citations
3. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
4. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
5. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
6. Learning to Ask: Neural Question Generation for Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Junru Shao, Claire Cardie2017 · 917 citations
7. Meta-Learning for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiatao Gu, Yong Wang, Yun Chen, et al.2018 · 456 citations
8. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesarXiv:2005.04790Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 420 citations
9. Question Answering on Freebase via Relation Extraction and Textual EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Xu, Siva Reddy, Yansong Feng, et al.2016 · 360 citations
10. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
11. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
12. Learning Joint Multilingual Sentence Representations with Neural Machine TranslationWorkshop on Representation Learning for NLPHolger Schwenk, Matthijs Douze2017 · 295 citations
13. PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemTransactions of the Association for Computational Linguistics (TACL)Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.2021 · 288 citations
14. Answer-focused and Position-aware Neural Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xingwu Sun, Jing Liu, Yajuan Lyu, et al.2018 · 255 citations
15. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 254 citations
16. Harvesting Paragraph-level Question-Answer Pairs from WikipediaAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Claire Cardie2018 · 232 citations
17. Tracking the World State with Recurrent Entity NetworksInternational Conference on Learning Representations (ICLR)Mikael Henaff, Jason Weston, Arthur Szlam, et al.2016 · 228 citations
18. 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
19. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
20. 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
21. REFINER: Reasoning Feedback on Intermediate RepresentationsarXiv:2304.01904Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 156 citations
22. 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
23. Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?Findings of the Association for Computational LinguisticsThang Pham, Trung Bui, Long Mai, et al.2021 · 148 citations
24. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
25. Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image DescriptionConference on Machine Translation (WMT)Desmond Elliott, Stella Frank, Loïc Barrault, et al.2017 · 137 citations
26. SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal ConversationsConference on Empirical Methods in Natural Language Processing (EMNLP)Satwik Kottur, Seungwhan Moon, Alborz Geramifard, et al.2021 · 114 citations
27. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
28. The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New LanguagesDingquan Wang, Jason Eisner2016 · 99 citations
29. DialFact: A Benchmark for Fact-Checking in DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 97 citations
30. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
31. 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
32. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
33. What Context Features Can Transformer Language Models Use?Annual Meeting of the Association for Computational Linguistics (ACL)Joe O'Connor, Jacob Andreas2021 · 77 citations
34. A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable ContextProceedings of the AAAI Conference on Artificial IntelligenceTakuma Udagawa, Akiko Aizawa2019 · 68 citations
35. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
36. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
37. The PhotoBook Dataset: Building Common Ground through Visually-Grounded DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.2019 · 53 citations
38. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
39. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
40. Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationIEEE AccessDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
41. Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic EvaluationTransactions of the Association for Computational Linguistics (TACL)Sandro Pezzelle, Ece Takmaz, Raquel Fernández2021 · 25 citations
42. Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesarXiv:2309.12426Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.2023 · 16 citations
43. An Annotated Corpus of Reference Resolution for Interpreting Common GroundingProceedings of the AAAI Conference on Artificial IntelligenceTakuma Udagawa, Akiko Aizawa2019 · 14 citations
44. Maintaining Common Ground in Dynamic EnvironmentsTransactions of the Association for Computational Linguistics (TACL)Takuma Udagawa, Akiko Aizawa2021 · 13 citations
45. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
46. A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tatiana Anikina, Jan Cegin, Jakub Simko, et al.2025 · 11 citations
47. Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal DiscoveryTransactions of the Association for Computational Linguistics (TACL)Tao Feng, Lizhen Qu, Gholamreza Haffari2023 · 11 citations
48. Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
49. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and SundaneseWorkshop on Multilingual Representation LearningSalsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto2025 · 8 citations
50. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
51. New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec ModelsLanguage Resources and Evaluation Conference (LREC)Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.2026 · 7 citations
52. TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
53. Abed at KSAA-RD Shared Task: Enhancing Arabic Word Embedding with Modified BERT MultilingualArabic Natural Language Processing Conference (ArabicNLP)Abdelrahim Qaddoumi2023 · 6 citations
54. DeepSTL — From English Requirements to Signal Temporal LogicarXiv:2109.10294Jie He, Ezio Bartocci, Dejan Ničkovic, et al.2021 · 4 citations
55. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, et al.2026 · 3 citations
56. Pretraining and Benchmarking Modern Encoders for LatvianWorkshop on Language Models for Low-Resource LanguagesArturs Znotins2026 · 3 citations
57. On the Utility of Pretraining Language Models on Synthetic DataArabic Natural Language Processing Conference (ArabicNLP)Alcides Alcoba Inciarte, Sang Yun Kwon, El Moatez Billah Nagoudi, et al.2024 · 3 citations
58. DeepSemantics at SemEval-2026 Task 9: Label-Wise Optimization with Adaptive Focal Loss for Polarization Manifestation IdentificationInternational Workshop on Semantic Evaluation (SemEval)Eliasse Tiao, Josue R. Edou, Mahugnon A. L. Gohouede2026 · 1 citation
59. NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted MaskingFindings of the Association for Computational LinguisticsChadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.2026 · 1 citation
60. Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Minsik Oh, Jiwei Li, Guoyin Wang2026 · 1 citation
61. DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image SequencesLanguage Resources and Evaluation Conference (LREC)Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.2026
62. Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual TextFindings of the Association for Computational LinguisticsPiyush Singh Pasi2026
63. NLP-CIMAT at SemEval-2026 Task 9: LLM-Based One-Shot and Cross-Lingual Data Augmentation for Polarization DetectionInternational Workshop on Semantic Evaluation (SemEval)Miriam Calderon-Reyes, Fernando Sanchez-Vega, Adrian Pastor Lopez Monroy2026
64. PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and ReconciliationLanguage Resources and Evaluation Conference (LREC)Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.2026
65. PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable DataFindings of the Association for Computational LinguisticsKai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.2026
66. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
67. REIGNITE at AbjadMed: Imbalance-Aware Fine-Tuning of Pretrained Arabic Transformers for Arabic Medical Text Classification TaskWorkshop on NLP for Languages Using Arabic ScriptNahid Montasir Rifat, Foyez Ahmed Dewan2026
68. Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?Workshop on Structured Linguistic Data and Evaluation (SLiDE)Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.2026
69. Translation-Augmented Multilingual Summarization for Low-Resource LanguagesWorkshop on Language Technology for Equality, Diversity, InclusionPrasanth Yadla2026
70. Tree-Based Interview Topic Guidance for Collecting Target Information under Adaptive Topic continuation/switchingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Fuminori Nagasawa, Ekai Hashimoto, Shun Shiramatsu2026
71. UPR at SemEval-2026 Task 9: Multi-Label Polarization and Manifestation Detection in UrduInternational Workshop on Semantic Evaluation (SemEval)Mtayyaba Shahzad, Inzmam Khadam, Zaufishan Mahmood, et al.2026
72. NeoDictaBERT: Pushing the Frontier of BERT models for HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2025
73. NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case StudyMatthew Nazari2024

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