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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 3 of 4 · 201–300 · ← Adhiguna Kuncoro

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  1. Language Modeling Is CompressionarXiv:2309.10668Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 91 citations
  2. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
  3. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
  4. Multilingual Large Language Models Are Not (Yet) Code-SwitchersConference on Empirical Methods in Natural Language Processing (EMNLP)Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.2023 · 86 citations
  5. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Findings of the Association for Computational LinguisticsYi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 86 citations
  6. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  7. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
  8. Few-Shot Semantic Parsing with Language Models Trained on CodeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Shin, Benjamin Van Durme2022 · 72 citations
  9. Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at ScaleTransactions of the Association for Computational Linguistics (TACL)Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.2022 · 72 citations
  10. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
  11. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
  12. RNNs can generate bounded hierarchical languages with optimal memoryConference on Empirical Methods in Natural Language Processing (EMNLP)John Hewitt, Michael Hahn, Surya Ganguli, et al.2020 · 65 citations
  13. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  14. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  15. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsarXiv:2402.01739Fuzhao Xue, Zian Zheng, Yao Fu, et al.2024 · 64 citations
  16. Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and HumansComputational LinguisticsAndrew Lampinen2024 · 63 citations
  17. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  18. Learning an Executable Neural Semantic ParserComputational LinguisticsJianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.2019 · 63 citations
  19. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  20. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
  21. Dialect prejudice predicts AI decisions about people's character, employability, and criminalityarXiv:2403.00742Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, et al.2024 · 57 citations
  22. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
  23. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, et al.2024 · 54 citations
  24. IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian ProvincesTransactions of the Association for Computational Linguistics (TACL)Fajri Koto, Rahmad Mahendra, Nurul Aisyah, et al.2024 · 53 citations
  25. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
  26. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
  27. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  28. How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speechAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Yedetore, Tal Linzen, Robert Frank, et al.2023 · 49 citations
  29. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
  30. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  31. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  32. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  33. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  34. Contrastive Chain-of-Thought PromptingarXiv:2311.09277Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.2023 · 45 citations
  35. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  36. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations
  37. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  38. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  39. The MiniPile Challenge for Data-Efficient Language ModelsarXiv:2304.08442Jean Kaddour2023 · 41 citations
  40. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  41. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP)El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.2023 · 38 citations
  42. SlimPajama-DC: Understanding Data Combinations for LLM TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
  43. Tetra-Tagging: Word-Synchronous Parsing with Linear-Time InferenceNikita Kitaev, Dan Klein2020 · 36 citations
  44. Neural Generative Rhetorical Structure ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Amandla Mabona, Laura Rimell, Stephen Clark, et al.2019 · 36 citations
  45. Dolphin: A Challenging and Diverse Benchmark for Arabic NLGFindings of the Association for Computational LinguisticsEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed Oumar El-Shangiti, et al.2023 · 35 citations
  46. MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP)Patrick Huber, Giuseppe Carenini2020 · 35 citations
  47. Neural Lattice Language ModelsTransactions of the Association for Computational Linguistics (TACL)Jacob Buckman, Graham Neubig2018 · 35 citations
  48. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  49. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  50. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  51. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  52. Large Language Models Are Human-Like InternallyTransactions of the Association for Computational Linguistics (TACL)Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, et al.2025 · 30 citations
  53. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  54. A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsImad Lakim, Ebtesam Almazrouei, Ibrahim Abualhaol, et al.2022 · 30 citations
  55. Evaluating Document Coherence ModelingTransactions of the Association for Computational Linguistics (TACL)Aili Shen, Meladel Mistica, Bahar Salehi, et al.2021 · 30 citations
  56. Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL)Hitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 citations
  57. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative RefinementAlireza Mohammadshahi, James Henderson2021 · 26 citations
  58. A closer look at the performance of neural language models on reflexive anaphor licensingSociety for Computation in Linguistics (SCiL)Jennifer Hu, Sherry Yong Chen, Roger Levy2020 · 24 citations
  59. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 citations
  60. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.2023 · 22 citations
  61. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
  62. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  63. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  64. A Distributional and Orthographic Aggregation Model for English Derivational MorphologyDaniel Deutsch, John Hewitt, Dan Roth2018 · 19 citations
  65. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesInternational Conference on Computational Linguistics (COLING)Vinay Samuel, Yue Zhou, Henry Peng Zou2025 · 16 citations
  66. LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in EnglishNatural Legal Language Processing WorkshopSantosh T.Y.S.S, Cornelius Weiss, Matthias Grabmair2024 · 16 citations
  67. AMALGUM – A Free, Balanced, Multilayer English Web CorpusLuke Gessler, Siyao Peng, Yang Liu, et al.2020 · 16 citations
  68. The First Shared Task on Discourse Representation Structure ParsingLasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.2019 · 16 citations
  69. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data FiltersAnnual Meeting of the Association for Computational Linguistics (ACL)Li Lucy, Suchin Gururangan, Luca Soldaini, et al.2024 · 15 citations
  70. Constituency Parsing using LLMsarXiv:2310.19462Xuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  71. Towards Ontology Construction with Language ModelsarXiv:2309.09898Maurice Funk, Simon Hosemann, Jean Christoph Jung, et al.2023 · 12 citations
  72. A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021International Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal DependenciesMark Anderson, Carlos Gómez-Rodríguez2021 · 10 citations
  73. Improving a Strong Neural Parser with Conjunction-Specific FeaturesJessica Ficler, Yoav Goldberg2017 · 9 citations
  74. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
  75. Scaling Smart: Accelerating Large Language Model Pre-training with Small Model InitializationarXiv:2409.12903Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh Vahid, et al.2024 · 8 citations
  76. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized EraAgnieszka Falenska, Anders Björkelund, Jonas Kuhn2020 · 8 citations
  77. Head-First Linearization with Tree-Structured RepresentationXiang Yu, Agnieszka Falenska, Ngoc Thang Vu, et al.2019 · 8 citations
  78. Fast and Accurate Non-Projective Dependency Tree LinearizationXiang Yu, Simon Tannert, Ngoc Thang Vu, et al.2020 · 7 citations
  79. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Kushal Tatariya, Artur Kulmizev, Wessel Poelman, et al.2026 · 6 citations
  80. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
  81. A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics RestorationAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.2020 · 6 citations
  82. VisAidMath: Benchmarking Visual-Aided Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingkun Ma, Runzhe Zhan, Yang Li, et al.2026 · 5 citations
  83. WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext DatasetarXiv:2402.19282Jiantao Qiu, Haijun Lv, Zhenjiang Jin, et al.2024 · 5 citations
  84. Approximate Dynamic Oracle for Dependency Parsing with Reinforcement LearningXiang Yu, Ngoc Thang Vu, Jonas Kuhn2018 · 5 citations
  85. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
  86. The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language ModelsarXiv:2510.13996Lukas Gienapp, Christopher Schroder, Stefan Schweter, et al.2025 · 2 citations
  87. Tree Transformer's Disambiguation Ability of Prepositional Phrase Attachment and Garden Path EffectsAnnual Meeting of the Association for Computational Linguistics (ACL)Lingling Zhou, Suzan Verberne, Gijs Wijnholds2024 · 2 citations
  88. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsarXiv:2201.07614Reto Gubelmann, Siegfried Handschuh2022 · 2 citations
  89. Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency ParserBinyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen2020 · 2 citations
  90. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  91. From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for TibetanAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Yang, Leiyu Pan, Bojian Xiong, et al.2026 · 1 citation
  92. ArabicWeb-Edu: Educational Quality Data for Arabic LLM TrainingArabic Natural Language Processing Conference (ArabicNLP)Majd Hawasly, Tasnim Mohiuddin, Hamdy Mubarak, et al.2025 · 1 citation
  93. Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining DatasetsarXiv:2512.18834Sultan Alrashed, Francesco Orabona2025 · 1 citation
  94. BRAGD: Constrained Multi-Label POS Tagging for FaroeseLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Barbara Scalvini, Uni Johannesen, et al.2026
  95. Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoy2026
  96. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  97. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
  98. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsLanguage Resources and Evaluation Conference (LREC)Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
  99. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  100. MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African LanguagesLanguage Resources and Evaluation Conference (LREC)Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.2026

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