Elamur Research⌕
☰
home / authors / Dustin Schwenk / cited by / page 4

Who cites Dustin Schwenk

1,670 citations of their works from 1,364 papers of our library (of the 149,439 whose bibliographies we read) · 332 with a page here, the most cited first · page 4 of 4 · 301–332 · ← Dustin Schwenk

1 2 3 4

  1. Observations and Remedies for Large Language Model Bias in Self-Consuming Performative LoopAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Wang, Zhongteng Cai, Yujia Bao, et al.2026
  2. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
  3. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum LearningFindings of the Association for Computational LinguisticsZhu Min, Yanchao Hao, Jian Liu, et al.2026
  4. Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhikun Xu, Xiaodong Yu, Ben Zhou, et al.2026
  5. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  6. Rethinking Data Mixing from the Perspective of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjian Xu, Tianze Sun, Changwei Xu, et al.2026
  7. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
  8. Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface FormsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuto Nishida, Naoki Shikoda, Yosuke Kishinami, et al.2026
  9. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
  10. RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual SensitivityFindings of the Association for Computational LinguisticsJisu Shin, Hoyun Song, Juhyun Oh, et al.2026
  11. Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation StudyLanguage Resources and Evaluation Conference (LREC)Aina Garí Soler, Juan Carlos Zevallos Huaco, Matthieu Labeau, et al.2026
  12. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual ScenesAnnual Meeting of the Association for Computational Linguistics (ACL)Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.2026
  13. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  14. Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026
  15. SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxian Su, Haoye Lou, Shucheng Zhu, et al.2026
  16. Suppressing Final Layer Hidden State Jumps in Transformer PretrainingFindings of the Association for Computational LinguisticsKeigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.2026
  17. The Challenge of Identifying the Origin of Black-Box Large Language ModelsWorkshop on Privacy in Natural Language ProcessingZiqing Yang, Yixin Wu, Yun Shen, et al.2026
  18. The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal TechniquesComputational LinguisticsSebastian Ochs, Ivan Habernal2026
  19. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  20. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026
  21. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
  22. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
  23. TReX: Tokenizer Regression for Optimal Data MixtureConference of the European Chapter of the Association for Computational Linguistics (EACL)Inho Won, Hangyeol Yoo, Minkyung Cho, et al.2026
  24. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyi Xiao, Xinchi XU, Leilei Gan2026
  25. Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026
  26. What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xinlan Yan, Di Wu, Yibin Lei, et al.2026
  27. Who Speaks for Whom? LLM-Generated Survey Data as a Proxy for Public OpinionWorkshop on Natural Language Processing and Computational Social ScienceRadhakrishnan Venkatakrishnan, Travis Brodbeck, Michael D. Young2026
  28. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026
  29. xLM: A Python Package for Non-Autoregressive Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha, et al.2026
  30. Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMsWilliam Sheffield, Kanishka Misra, Valentina Pyatkin, et al.2025
  31. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM ResponsesarXiv:2511.23041Dong Nguyen, Laura Rosseel2025
  32. 360Zhinao Technical ReportarXiv:2405.133862024

1 2 3 4

1,032 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/dustin-schwenk/cited-by/page/4/