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Who cites Adhiguna Kuncoro

1,544 citations of their works from 1,338 papers of our library (of the 149,439 whose bibliographies we read) · 308 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Adhiguna Kuncoro

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  1. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityarXiv:2301.12867Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 249 citations
  2. MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing BenchmarkConference of the European Chapter of the Association for Computational Linguistics (EACL)Haoran Li, Abhinav Arora, Shuohui Chen, et al.2021 · 242 citations
  3. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations
  4. Document Context Neural Machine Translation with Memory NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Sameen Maruf, Gholamreza Haffari2018 · 238 citations
  5. Strong Baselines for Neural Semi-Supervised Learning under Domain ShiftAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastian Ruder, Barbara Plank2018 · 229 citations
  6. MTNT: A Testbed for Machine Translation of Noisy TextConference on Empirical Methods in Natural Language Processing (EMNLP)Paul Michel, Graham Neubig2018 · 227 citations
  7. Towards String-To-Tree Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2017 · 226 citations
  8. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
  9. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeConference on Neural Information Processing Systems (NeurIPS)Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 222 citations
  10. Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 222 citations
  11. Head-Driven Phrase Structure Grammar Parsing on Penn TreebankAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Zhou, Hai Zhao2019 · 219 citations
  12. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
  13. Teaching language models to support answers with verified quotesarXiv:2203.11147Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 218 citations
  14. Learning to Parse and Translate Improves Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho2017 · 217 citations
  15. Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?Transactions of the Association for Computational Linguistics (TACL)Byung-Doh Oh, William Schuler2023 · 211 citations
  16. Deep Multitask Learning for Semantic Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Sam Thomson, Noah A. Smith2017 · 211 citations
  17. Prompting GPT-3 To Be ReliablearXiv:2210.09150Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 210 citations
  18. Active Example Selection for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Zhang, Shi Feng, Chenhao Tan2022 · 209 citations
  19. Internet-augmented language models through few-shot prompting for open-domain question answeringarXiv:2203.05115Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.2022 · 209 citations
  20. LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Adhiguna Kuncoro, Chris Dyer, John Hale, et al.2018 · 208 citations
  21. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
  22. Automated Concatenation of Embeddings for Structured PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Wang, Yong Jiang, Nguyen Bach, et al.2021 · 206 citations
  23. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsarXiv:2304.05302Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 201 citations
  24. Compound Probabilistic Context-Free Grammars for Grammar InductionAnnual Meeting of the Association for Computational Linguistics (ACL)Yoon Kim, Chris Dyer, Alexander Rush2019 · 201 citations
  25. 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
  26. 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
  27. Improving Passage Retrieval with Zero-Shot Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Devendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 199 citations
  28. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
  29. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP)Viet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 195 citations
  30. The emergence of number and syntax units in LSTM language modelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yair Lakretz, German Kruszewski, Theo Desbordes, et al.2019 · 194 citations
  31. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
  32. RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalarXiv:2401.18059Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 193 citations
  33. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  34. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic OraclesConference on Empirical Methods in Natural Language Processing (EMNLP)James Cross, Liang Huang2016 · 191 citations
  35. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 190 citations
  36. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  37. Learning Language Representations for Typology PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Chaitanya Malaviya, Graham Neubig, Patrick Littell2017 · 187 citations
  38. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 184 citations
  39. Large Language Models are few(1)-shot Table ReasonersFindings of the Association for Computational LinguisticsWenhu Chen2023 · 182 citations
  40. 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
  41. Neural Discourse Structure for Text CategorizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yangfeng Ji, Noah A. Smith2017 · 181 citations
  42. What Artificial Neural Networks Can Tell Us About Human Language AcquisitionarXiv:2208.07998Alex Warstadt, Samuel R. Bowman2022 · 177 citations
  43. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 174 citations
  44. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  45. AudioPaLM: A Large Language Model That Can Speak and ListenarXiv:2306.12925Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.2023 · 171 citations
  46. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  47. Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 170 citations
  48. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 167 citations
  49. Stronger Baselines for Trustable Results in Neural Machine TranslationWorkshop on Neural Machine TranslationMichael Denkowski, Graham Neubig2017 · 165 citations
  50. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
  51. Extreme Adaptation for Personalized Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Michel, Graham Neubig2018 · 161 citations
  52. Argument Mining with Structured SVMs and RNNsAnnual Meeting of the Association for Computational Linguistics (ACL)Vlad Niculae, Joonsuk Park, Claire Cardie2017 · 160 citations
  53. Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic ScaffoldarXiv:1706.09528Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al.2017 · 160 citations
  54. Large Language Models with Controllable Working MemoryFindings of the Association for Computational LinguisticsDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 158 citations
  55. TheoremQA: A Theorem-driven Question Answering DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Ming Yin, Max Ku, et al.2023 · 158 citations
  56. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.2022 · 157 citations
  57. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  58. Generating Sentences from Disentangled Syntactic and Semantic SpacesAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Bao, Hao Zhou, Shujian Huang, et al.2019 · 154 citations
  59. Seq2seq Dependency ParsingInternational Conference on Computational Linguistics (COLING)Zuchao Li, Jiaxun Cai, Shexia He, et al.2018 · 153 citations
  60. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  61. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetarXiv:2303.03915Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 150 citations
  62. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 149 citations
  63. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  64. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 147 citations
  65. SyntaxGym: An Online Platform for Targeted Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al.2020 · 147 citations
  66. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  67. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  68. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 144 citations
  69. Dynamic Entity Representations in Neural Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.2017 · 144 citations
  70. 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
  71. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  72. Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated ExamplesVidur Joshi, Matthew Peters, Mark Hopkins2018 · 139 citations
  73. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 138 citations
  74. Pushing the Limits of Low-Resource Morphological InflectionConference on Empirical Methods in Natural Language Processing (EMNLP)Antonios Anastasopoulos, Graham Neubig2019 · 137 citations
  75. OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextarXiv:2310.06786Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.2023 · 132 citations
  76. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 130 citations
  77. NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, et al.2023 · 130 citations
  78. Scheduled Multi-Task Learning: From Syntax to TranslationTransactions of the Association for Computational Linguistics (TACL)Eliyahu Kiperwasser, Miguel Ballesteros2018 · 130 citations
  79. Insertion-based Decoding with Automatically Inferred Generation OrderTransactions of the Association for Computational Linguistics (TACL)Jiatao Gu, Qi Liu, Kyunghyun Cho2019 · 125 citations
  80. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  81. Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2023 · 124 citations
  82. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
  83. Parsing Tweets into Universal DependenciesYijia Liu, Yi Zhu, Wanxiang Che, et al.2018 · 121 citations
  84. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  85. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 117 citations
  86. Fundamental Limitations of Alignment in Large Language ModelsarXiv:2304.11082Yotam Wolf, Noam Wies, Oshri Avnery, et al.2023 · 114 citations
  87. Ground-Truth Labels Matter: A Deeper Look into Input-Label DemonstrationsConference on Empirical Methods in Natural Language Processing (EMNLP)Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, et al.2022 · 114 citations
  88. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  89. CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Li, Tianxiang Sun, Qiong Tang, et al.2023 · 109 citations
  90. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationarXiv:2303.09540Amro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 108 citations
  91. Inverse Scaling: When Bigger Isn't BetterarXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQFIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 105 citations
  92. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting EvidenceConference on Empirical Methods in Natural Language Processing (EMNLP)Hung-Ting Chen, Michael Zhang, Eunsol Choi2022 · 105 citations
  93. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  94. In-Order Transition-based Constituent ParsingTransactions of the Association for Computational Linguistics (TACL)Jiangming Liu, Yue Zhang2017 · 99 citations
  95. Cross-Linguistic Syntactic Evaluation of Word Prediction ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, et al.2020 · 98 citations
  96. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  97. NLPositionality: Characterizing Design Biases of Datasets and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastin Santy, Jenny Liang, Ronan Le Bras, et al.2023 · 95 citations
  98. Boosting Language Models Reasoning with Chain-of-Knowledge PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Wang, Qiushi Sun, Xiang Li, et al.2024 · 94 citations
  99. Graph-based Dependency Parsing with Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Ji, Yuanbin Wu, Man Lan2019 · 94 citations
  100. LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 93 citations

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