Elamur Research⌕
☰
home / authors / Newton Cheng / cited by / page 5

Who cites Newton Cheng

1,974 citations of their works from 1,888 papers of our library (of the 149,439 whose bibliographies we read) · 483 with a page here, the most cited first · page 5 of 5 · 401–483 · ← Newton Cheng

1 … 4 5

  1. From Local to Global: Revisiting Structured Pruning Paradigms for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyan Wang, Enmao Diao, Qi Le, et al.2026 · 1 citation
  2. From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication StandardsFindings of the Association for Computational LinguisticsChen Qian, Yimeng Wang, Yu Chen, et al.2026 · 1 citation
  3. In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationLanguage Resources and Evaluation Conference (LREC)Arthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation
  4. PARASITE: Conditional System Prompt Poisoning to Hijack LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Viet Pham, Thai Le2026 · 1 citation
  5. Personal Information Parroting in Language ModelsFindings of the Association for Computational LinguisticsNishant Subramani, Kshitish Ghate, Mona T. Diab2026 · 1 citation
  6. Reasoning Fails Where Step Flow BreaksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, et al.2026 · 1 citation
  7. Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient OrganizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jia Liu, Jiaxin Luo, Weiwen Xu, et al.2026 · 1 citation
  8. Sounding vs. Being an Expert: Disentangling Authority, Register and Cultural Impact in Sycophantic LLMsFindings of the Association for Computational LinguisticsGabriele Maraia, Fabio Massimo Zanzotto, Leonardo Ranaldi2026 · 1 citation
  9. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
  10. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
  11. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
  12. Training Language Models to Use Prolog as a ToolFindings of the Association for Computational LinguisticsNiklas Mellgren, Peter Schneider-Kamp, Lukas Galke Poech2026 · 1 citation
  13. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
  14. 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
  15. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation
  16. 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
  17. When Alignment Hurts: Decoupling Representational Spaces in Multilingual ModelsarXiv:2508.12803Ahmed Elshabrawy, Hour Kaing, Haiyue Song, et al.2025 · 1 citation
  18. Aquila2 Technical ReportarXiv:2408.07410Bo-Wen Zhang, Liangdong Wang, Jijie Li, et al.2024 · 1 citation
  19. Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling PerspectivearXiv:2305.17760Khanh Nguyen2023 · 1 citation
  20. AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language ModelsLanguage Resources and Evaluation Conference (LREC)Hazza Mahmood, Yongqiang Yu, Rao Anwer2026
  21. Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Daud Waqas, Aaryamaan Golthi, Erika Hayashida, et al.2026
  22. Bayesian Social Deduction with Graph-Informed Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shahab Rahimirad, Guven Gergerli, Lucia Romero, et al.2026
  23. Beyond Accuracy: A Structured Error Analysis of Multilingual LLMs on Marathi Script Variation and SyntaxWorkshop on Multilinguality in the Era of Large Language ModelsTejas Patil, Barnali Chetia2026
  24. Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training DebiasingFindings of the Association for Computational LinguisticsFilip Trhlík, Andrew Caines, Paula Buttery2026
  25. CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.2026
  26. Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model TransferConference of the European Chapter of the Association for Computational Linguistics (EACL)Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina2026
  27. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Kexin Ma, Haotian Wang, Shenglin Chen, et al.2026
  28. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
  29. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
  30. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
  31. Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say “I Don't Know”Findings of the Association for Computational LinguisticsDhruv Madhwal, Lyuxin David Zhang, Dan Roth, et al.2026
  32. Deconstruct, Diagnose, and Deliberate: A Protocol-Adaptive Role-Specific Multi-Agent Framework for Fake News DetectionFindings of the Association for Computational LinguisticsZhigan Zhang, Jie Sui2026
  33. DialDefer: A Framework for Detecting and Mitigating LLM Dialogic DeferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.2026
  34. Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Ahmed Haj Ahmed, Ruochen Zhang, Alvin C Grissom II2026
  35. Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.2026
  36. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
  37. Exploring Layer Activation Dynamic of CoT via Knowledge ProbeAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanxin Zhang, Jiajun Liu, Yao He, et al.2026
  38. Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden DeliberationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongwoo Ryu, Soomin Kim, Jinsu Eun, et al.2026
  39. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
  40. HearSay Benchmark: Do Audio LLMs Leak What They Hear?Findings of the Association for Computational LinguisticsJin Wang, Kaiwen Luo, Liang Lin, et al.2026
  41. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  42. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
  43. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
  44. 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
  45. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
  46. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Tian, Jie Xing, Ziming Li, et al.2026
  47. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
  48. LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.2026
  49. Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language ModelsFindings of the Association for Computational LinguisticsKazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.2026
  50. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  51. NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question AnsweringFindings of the Association for Computational LinguisticsVishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, et al.2026
  52. Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsRagib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.2026
  53. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
  54. PRISM: Probing Reasoning, Instruction, and Source Memory in LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhe Wu, Guangyu Wang, Yuran Chen, et al.2026
  55. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
  56. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
  57. Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Kensuke Okada, Yui Furukawa, Kyosuke Bunji2026
  58. Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-AnsweringFindings of the Association for Computational LinguisticsAtharv Naphade2026
  59. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026
  60. Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung2026
  61. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
  62. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026
  63. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
  64. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
  65. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026
  66. The Impact of Tokenization Algorithms on Hungarian Language Model PerformanceLanguage Resources and Evaluation Conference (LREC)Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.2026
  67. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026
  68. Through the Sentence Lens: Explainable Essay Scoring through Fine-Grained PredictionsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Daniel Mora Melanchthon, Stefan Keller, Andrea Horbach2026
  69. 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
  70. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  71. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual TransferNatural Scientific Language Processing (NSLP) @ LRECNikolas Rauscher, Fabio Barth, Georg Rehm2026
  72. 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
  73. TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QAAnnual Meeting of the Association for Computational Linguistics (ACL)Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.2026
  74. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
  75. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  76. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  77. When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical PressureAnnual Meeting of the Association for Computational Linguistics (ACL)Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.2026
  78. Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention HeadsFindings of the Association for Computational LinguisticsTianhe Zhang, Yonghong Deng, Ping Jian, et al.2026
  79. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
  80. 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
  81. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025
  82. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
  83. DRU at WojoodNER 2024: A Multi-level Method ApproachArabic Natural Language Processing Conference (ArabicNLP)Hadi Hamoud, Chadi Abou Chakra, Nancy Hamdan, et al.2024

1 … 4 5

1,405 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/newton-cheng/cited-by/page/5/