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Who cites Vikas Raunak

1,776 citations of their works from 1,699 papers of our library (of the 141,840 whose bibliographies we read) · 244 with a page here, the most cited first · page 3 of 3 · 201–244 · ← Vikas Raunak

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  1. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 51 citations
    Metaphor Understanding Challenge Dataset for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
  2. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
  3. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 41 citations
    Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  4. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 30 citations
  5. Prediction of Arabic Legal Rulings using Large Language ModelsarXiv:2310.10260Adel Ammar, Anis Koubaa, Bilel Benjdira, et al.2023 · 27 citations
  6. The Quantization Model of Neural ScalingarXiv:2303.13506Eric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 27 citations
    Construction Grammar Provides Unique Insight into Neural Language ModelsInternational Workshop on Construction Grammars and NLPLeonie Weissweiler, Taiqi He, Naoki Otani, et al.2023 · 26 citations
  7. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
    MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsInternational Conference on Computational Linguistics (COLING)Qingyu Lu, Liang Ding, Kanjian Zhang, et al.2025 · 22 citations
  8. LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.2024 · 20 citations
    Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceConference on Empirical Methods in Natural Language Processing (EMNLP)Andong Chen, Lianzhang Lou, Kehai Chen, et al.2025 · 18 citations
  9. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
    GrammaMT: Improving Machine Translation with Grammar-Informed In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.2025 · 11 citations
    Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Chuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
    Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?Transactions of the Association for Computational Linguistics (TACL)Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.2024 · 8 citations
    ThatiAR: Subjectivity Detection in Arabic News SentencesProceedings of the International AAAI Conference on Web and Social MediaReem Suwaileh, Maram Hasanain, Fatema Hubail, et al.2024 · 7 citations
  10. ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and DevelopmentYanir Marmor, Kinneret Misgav, Yair Lifshitz2023 · 6 citations
    Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  11. Can ChatGPT capture swearing nuances? Evidence from translating Arabic oathsarXiv:2412.02466Mohammed Q. Shormani2024 · 3 citations
  12. Domain Adaptation for Arabic Machine Translation: The Case of Financial TextsarXiv:2309.12863Emad A. Alghamdi, Jezia Zakraoui, Fares A. Abanmy2023 · 3 citations
    Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
    When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL)David Tan, Pinzhen Chen, Josef van Genabith, et al.2026 · 2 citations
  13. Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAGDavid Samuel Setiawan, Raphaël Merx, Jey Han Lau2026 · 1 citation
    Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksInternational Workshop on Construction Grammars and NLPHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
    A Single Model Ensemble Framework for Neural Machine Translation Using Pivot TranslationLanguage Resources and Evaluation Conference (LREC)Seokjin Oh, Keonwoong Noh, Woohwan Jung2026
    Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology TranslationWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Kurt Abela, Marc Tanti, Claudia Borg2026
    Context-8: A Data Set for Evaluating Context Sensitivity in Machine TranslationLanguage Resources and Evaluation Conference (LREC)Dongyue Wang, Kyo Kageura2026
    EduBench: A Portuguese Benchmark for Open-Ended Discursive Question AnsweringLanguage Resources and Evaluation Conference (LREC)Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.2026
    Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted ResourcesSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesVolkan Ozer, Shu Okabe, Alexander Fraser2026
  14. Lexical and Syntactic Diversity: Still Lost in Machine Translation?Proceedings of the First Workshop on Style in GenAI-Translated Content (StyGenAI)Lise Volkart, Pierrette Bouillon2026
    On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?Annual Conference of the European Association for Machine Translation (EAMT)Joachim Minder, Guillaume Wisniewski, Natalie Kübler2026
    Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsLanguage Resources and Evaluation Conference (LREC)Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
    Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingLanguage Resources and Evaluation Conference (LREC)Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
    Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026
    Smarter edits? Post-editing with error highlights and translation suggestionsAnnual Conference of the European Association for Machine Translation (EAMT)Fleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.2026
    The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformAnnual Conference of the European Association for Machine Translation (EAMT)Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
    To Write or to Automate Linguistic Prompts, That Is the QuestionAnnual Conference of the European Association for Machine Translation (EAMT)Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk2026
    Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM TranslationConference of the Association for Machine Translation in the Americas (AMTA)Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.2026
    When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentAnnual Conference of the European Association for Machine Translation (EAMT)Lydia Nishimwe, Benoît Sagot, Rachel Bawden2026
    ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
    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
    Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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