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Who cites Chris Piech

1,123 citations of their works from 1,119 papers of our library (of the 149,439 whose bibliographies we read) · 267 with a page here, the most cited first · page 3 of 3 · 201–267 · ← Chris Piech

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  1. TADA : Task Agnostic Dialect Adapters for EnglishFindings of the Association for Computational LinguisticsWilliam Held, Caleb Ziems, Diyi Yang2023 · 17 citations
  2. Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code DebuggingFindings of the Association for Computational LinguisticsPriyanka Kargupta, Ishika Agarwal, Dilek Hakkani Tur, et al.2024 · 16 citations
  3. Jailbreaking LLMs with Arabic Transliteration and ArabiziConference on Empirical Methods in Natural Language Processing (EMNLP)Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, et al.2024 · 16 citations
  4. Understanding Natural Language Understanding Systems. A Critical AnalysisarXiv:2303.04229Alessandro Lenci2023 · 16 citations
  5. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
  6. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in CodearXiv:2405.15568Maxence Faldor, Jenny Zhang, Antoine Cully, et al.2024 · 15 citations
  7. MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Jing Li, Wenya Wang, et al.2025 · 14 citations
  8. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
  9. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural ConversationConference on Neural Information Processing Systems (NeurIPS)Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.2024 · 13 citations
  10. Task-Agnostic Low-Rank Adapters for Unseen English DialectsConference on Empirical Methods in Natural Language Processing (EMNLP)Zedian Xiao, William Held, Yanchen Liu, et al.2023 · 13 citations
  11. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  12. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
  13. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
  14. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  15. Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsarXiv:2405.15143Cong Lu, Shengran Hu, Jeff Clune2024 · 7 citations
  16. Training AI Co-Scientists Using Rubric RewardsarXiv:2512.23707Shashwat Goel, Rishi Hazra, Dulhan Jayalath, et al.2025 · 6 citations
  17. Automating Exploratory Proteomics Research via Language ModelsarXiv:2411.03743Ning Ding, Shang Qu, Linhai Xie, et al.2024 · 6 citations
  18. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
  19. Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and BandwidthConference of the European Chapter of the Association for Computational Linguistics (EACL)Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.2026 · 3 citations
  20. Do Large Language Models Reflect Demographic Pluralism in Safety?Findings of the Association for Computational LinguisticsUsman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray, et al.2026 · 3 citations
  21. 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
  22. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
  23. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
  24. Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMsFindings of the Association for Computational LinguisticsYiheng Yang, Yujie Wang, Chi Ma, et al.2026 · 3 citations
  25. AITutor-EvalKit: Exploring the Capabilities of AI TutorsConference of the European Chapter of the Association for Computational Linguistics (EACL)Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2026 · 2 citations
  26. Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge TracingFindings of the Association for Computational LinguisticsJun Seo, Sangwon Ryu, Heejin Do, et al.2026 · 2 citations
  27. Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error CorrectionLanguage Resources and Evaluation Conference (LREC)Yuchun Zou, Tedd Lee, Xiaodi Fan, et al.2026 · 2 citations
  28. SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sihang Zhao, Kangrui Yu, Youliang Yuan, et al.2026 · 2 citations
  29. Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.2023 · 2 citations
  30. Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-SortsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingting Zheng, Yuqi Ren, Linhao Yu, et al.2026 · 1 citation
  31. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
  32. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
  33. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
  34. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  35. 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
  36. LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play AlignmentFindings of the Association for Computational LinguisticsZiwei Wang, Jie Zhou, Qin Chen, et al.2026 · 1 citation
  37. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
  38. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
  39. AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian AmazonSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesRodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega2026
  40. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
  41. Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection GamesFindings of the Association for Computational LinguisticsKaleen Shrestha, Abhinav Gupta, Harish Dukkipati, et al.2026
  42. CIA: Inferring the Communication Topology from LLM-based Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxuan Wu, Xixun Lin, He Zhang, et al.2026
  43. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  44. Fiction Flows: A Replication and Reinterpretation of Narrative SequentialityAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew Piper, Sil Hamilton, Haiqi Zhou, et al.2026
  45. 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
  46. I Don't Need Solution. I Need Emotional Support : Empathetic LLMs based on Emotional ValidationFindings of the Association for Computational LinguisticsSuhyune Son, Jungwoo Lim, Myunghoon Kang, et al.2026
  47. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
  48. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
  49. Linguistic symptoms: retrieval-augmented generation and reasoning in LLMs under Portuguese–English variation in medical contexts (Sintomas Linguísticos: Geração Aumentada por Recuperação e Raciocínio em LLMs sob a Variação Português-Inglês em Contextos Médicos)International Conference on Computational Processing of PortugueseGuilherme Vianna de Moura, Gabriel Assis, Aline Paes2026
  50. Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Sun, Kai Zhang, Xuejun Jiang, et al.2026
  51. Measuring Optimal Challenge: Trajectory-Based Difficulty Alignment in Open-Ended Language TutoringWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Ziqi Shu, Shuman Wang, Michael Hardy2026
  52. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
  53. Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Yifei Fu, Jiayi Gao2026
  54. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026
  55. Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT ModelsarXiv:2604.08566 · SSRN (2026)Amr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed2026
  56. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
  57. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  58. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  59. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  60. Tracing Mathematical Proficiency Through Problem-Solving ProcessesFindings of the Association for Computational LinguisticsJungyang Park, Suho Kang, Jaewoo Park, et al.2026
  61. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  62. From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language ModelsWorkshop on Gender Bias in Natural Language ProcessingMelanie Galea, Claudia Borg2025
  63. LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language ModelsarXiv:2510.23011Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.2025
  64. The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic TextInternational Conference on Natural Language and Speech ProcessingLubana Al Rayes, Ashraf Elnagar2025
  65. 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
  66. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Acta Automatica Sinica (自动化学报)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023
  67. Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)Journal of SoftwareYu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.2022

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