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Who cites Akshita Bhagia

1,173 citations of their works from 907 papers of our library (of the 149,439 whose bibliographies we read) · 240 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Akshita Bhagia

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  1. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
  2. Benchmarking LLaMA-3 on Arabic Language Generation TasksArabic Natural Language Processing Conference (ArabicNLP)Md Tawkat Islam Khondaker, Numaan Naeem, Fatimah Khan, et al.2024 · 12 citations
  3. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
  4. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  5. How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?Computational LinguisticsAtsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras2026 · 11 citations
  6. Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language ModelsarXiv:2506.05850Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo;, Kang Min Yoo2025 · 10 citations
  7. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
  8. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
  9. Language Models Fail to Introspect About Their Knowledge of LanguagearXiv:2503.07513Siyuan Song, Jennifer Hu, Kyle Mahowald2025 · 9 citations
  10. Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Mohna Chakraborty, Lu Wang, David Jurgens2025 · 9 citations
  11. TESS 2: A Large-Scale Generalist Diffusion Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.2025 · 9 citations
  12. Theorem Prover as a Judge for Synthetic Data GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Ong Jun Leang, Giwon Hong, Wenda Li, et al.2025 · 9 citations
  13. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
  14. Nudging: Inference-time Alignment of LLMs via Guided DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yasaman Razeghi, Sameer Singh2025 · 8 citations
  15. Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning AnalysisArabic Natural Language Processing Conference (ArabicNLP)Sabri Boughorbel, Md Rizwan Parvez, Majd Hawasly2024 · 8 citations
  16. 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
  17. MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
  18. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
  19. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  20. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
  21. Minimal Pair-Based Evaluation of Code-SwitchingAnnual Meeting of the Association for Computational Linguistics (ACL)Igor Sterner, Simone Teufel2025 · 6 citations
  22. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
  23. Detecting Training Data of Large Language Models via Expectation MaximizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, et al.2026 · 5 citations
  24. WikiVideo: Article Generation from Multiple VideosFindings of the Association for Computational LinguisticsAlexander Martin, Reno Kriz, William Gantt Walden, et al.2026 · 5 citations
  25. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
  26. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language ModelsBabyLM WorkshopRaha Askari, Sina Zarrieß, Özge Alacam, et al.2025 · 4 citations
  27. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
  28. Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations
  29. Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
  30. Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Trott, Samuel M. Taylor, Cameron Robert Jones, et al.2026 · 3 citations
  31. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
  32. Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory ConflictFindings of the Association for Computational LinguisticsKaiser Sun, Fan Bai, Mark Dredze2026 · 3 citations
  33. Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Thomas Brendan Murphy, Susan Leavy2025 · 3 citations
  34. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  35. ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMsInternational Conference on Computational Processing of PortugueseInês Vieira, Inês Calvo, Iago Paulo, et al.2026 · 2 citations
  36. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  37. HTMuon: Improving Muon via Heavy-Tailed Spectral CorrectionFindings of the Association for Computational LinguisticsTianyu Pang, Yujie Fang, Zihang Liu, et al.2026 · 2 citations
  38. Improving Romanian LLM Pretraining Data using Diversity and Quality FilteringWorkshop on Language Models for Low-Resource LanguagesVlad-Andrei Negoiță, Mihai Masala, Traian Rebedea2026 · 2 citations
  39. Kenji-Endo: a BabyLM @EVALITAEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopCalogero Jerik Scozzaro, Matteo Rinaldi, Gianluca Mittone, et al.2026 · 2 citations
  40. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations
  41. PHEB: An European Portuguese High School-Level LLM BenchmarkLanguage Resources and Evaluation Conference (LREC)Diogo C. Tavares, Rafael Ferreira, Afonso Simplício, et al.2026 · 2 citations
  42. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
  43. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.2026 · 2 citations
  44. The olmOCR Project: Building Fully Open OCR using VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jake Poznanski, Kyle Lo, Luca Soldaini2026 · 2 citations
  45. Automatic Extraction of Clausal Embedding Based on Large-Scale English Text DataSociety for Computation in Linguistics (SCiL)Iona Carslaw, Sivan Milton, Nicolas Navarre, et al.2025 · 2 citations
  46. 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
  47. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
  48. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
  49. Addressing the Ecological Fallacy in Larger LMs with Human ContextConference on Computational Natural Language Learning (CoNLL)Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
  50. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
  51. 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
  52. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
  53. BSC's Submission to the Instruction Following Track of IWSLT 2026International Conference on Spoken Language Translation (IWSLT)Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
  54. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
  55. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
  56. From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language ModelsFindings of the Association for Computational LinguisticsYoumi Ma, Naoaki Okazaki2026 · 1 citation
  57. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
  58. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 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. OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
  61. Personal Information Parroting in Language ModelsFindings of the Association for Computational LinguisticsNishant Subramani, Kshitish Ghate, Mona T. Diab2026 · 1 citation
  62. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
  63. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
  64. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
  65. Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical AmbiguityTransactions of the Association for Computational Linguistics (TACL)Pamela D. Rivière, Sean Trott2026 · 1 citation
  66. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
  67. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
  68. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
  69. Whose Facts Win? LLM Source Preferences under Knowledge ConflictsAnnual Meeting of the Association for Computational Linguistics (ACL)Jakob Schuster, Vagrant Gautam, Katja Markert2026 · 1 citation
  70. 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
  71. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
  72. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  73. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Yu, Tianyi Xu, Michael A. Hedderich, et al.2026
  74. AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchLanguage Resources and Evaluation Conference (LREC)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026
  75. Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real WorldFindings of the Association for Computational LinguisticsYulong Wu, Viktor Schlegel, Riza Batista-Navarro2026
  76. Biomed-Enriched: Data-Efficient Biomedical Pretraining via Paragraph-Level AnnotationFindings of the Association for Computational LinguisticsRian Touchent, Nathan Godey, Éric Villemonte de la Clergerie2026
  77. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026
  78. Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationLanguage Resources and Evaluation Conference (LREC)Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026
  79. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
  80. CheckMIABench: Firm Foundations For Membership Inference Attacks on Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jeffrey George Wang, Jason Wang, Marvin Li, et al.2026
  81. Continuous Interpretive Steering for Scalar DiversityAnnual Meeting of the Association for Computational Linguistics (ACL)Ye-eun Cho2026
  82. CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Miyu Oba, Saku Sugawara2026
  83. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026
  84. Detecting Non-Membership in LLM Training Data via Rank CorrelationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Pranav Shetty, Mirazul Haque, Zhiqiang Ma, et al.2026
  85. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response LengthsFindings of the Association for Computational LinguisticsInderjeet Jayakumar Nair, Lu Wang2026
  86. Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA PerformancearXiv:2608.06539Shenran Wang, Vered Shwartz, Hila Gonen2026
  87. EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingrun Xing, Zheng Liu, Shitao Xiao, et al.2026
  88. Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Youngji Roh, Hyunjin Cho, Jaehyung Kim2026
  89. Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, et al.2026
  90. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
  91. Far Out: Evaluating Language Models on Slang in Australian and Indian EnglishWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi2026
  92. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026
  93. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-trainingLanguage Resources and Evaluation Conference (LREC)Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.2026
  94. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  95. Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?Findings of the Association for Computational LinguisticsH S V N S Kowndinya Renduchintala, Sumit Bhatia2026
  96. How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Tongyao Zhu, Qian Liu, Chang Ma, et al.2026
  97. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
  98. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  99. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Xu, Ningyuan Zhao, Yunzhi Yao, et al.2026
  100. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026

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