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Who cites Yonghao Zhuang

3,602 citations of their works from 3,504 papers of our library (of the 149,439 whose bibliographies we read) · 859 with a page here, the most cited first · page 9 of 9 · 801–859 · ← Yonghao Zhuang

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  1. Self-Sum: Teaching an Agent to Decide Itself When and What to SummarizeFindings of the Association for Computational LinguisticsHongru Wang, Rui Wang, Jushi Kai, et al.2026
  2. SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zenghao Liu, Yansong Zhang2026
  3. SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Peihua Mai, Xuanrong Gao, Youlong Ding, et al.2026
  4. Show or Tell? Modeling the evolution of request-making in Human-LLM conversationsFindings of the Association for Computational LinguisticsShengqi Zhu, Jeffrey Rzeszotarski, David Mimno2026
  5. Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation AblationFindings of the Association for Computational LinguisticsWenpeng Xing, Moran Fang, Guangtai Wang, et al.2026
  6. 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
  7. Social-RAG: A Retrieval-Augmented Generation Pipeline for Computational Social Science Research on TelegramInternational Conference on Computational Processing of PortugueseLeonardo Nascimento, Eric Brasil, Arthur Lima, et al.2026
  8. SPIDE: Serial and Parallel Intertwined Speculative DecodingFindings of the Association for Computational LinguisticsWenru Xu, Peixuan Xu, Ziqi Yang, et al.2026
  9. StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Huawei Zheng, Xinqi Jiang, Sen Yang, et al.2026
  10. SteuerLLM: Local specialized large language model for German tax law analysisarXiv:2602.11081 · Scientific Reports, Volume 16, 2026Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.2026
  11. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
  12. Stylistic Transfer from Annotator Communities to Large Language ModelsWorkshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)Jay Chooi2026
  13. Suppressing Final Layer Hidden State Jumps in Transformer PretrainingFindings of the Association for Computational LinguisticsKeigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.2026
  14. Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Thomas P. Utting, Mario Giulianelli, Arabella Sinclair2026
  15. SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026
  16. Synthetic Data Generation for Training Diversified Commonsense Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianhui Zhang, Bei Peng, Danushka Bollegala2026
  17. Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-TuningFindings of the Association for Computational LinguisticsMax Schaffelder, Albert Gatt2026
  18. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
  19. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
  20. Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Xia Zeng, Yihan Chen, Luhui Liu, et al.2026
  21. Teaching LLMs to unveil tendentious implicit contents of Italian political communicationWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Walter Paci, Lorenzo Gregori, Alessandro Panunzi2026
  22. Teaching People LLM's Errors and Getting it RightWorkshop on Trustworthy NLPNathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, et al.2026
  23. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
  24. Text-Guided Multi-Scale Frequency Representation AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Weicai Yan, Xinhua Ma, Wang Lin, et al.2026
  25. 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
  26. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality CheckAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Lu, Liang Ding, Kanjian Zhang, et al.2026
  27. 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
  28. Thesis Proposal: Intentional Inference for Insight GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kristýna Onderková2026
  29. Thesis Proposal: Multimodal Benchmark for Music Understanding in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Tomáš Sourada2026
  30. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Deepak Pandita, Christopher M. Homan2026
  31. Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-InquiryFindings of the Association for Computational LinguisticsSyed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, et al.2026
  32. TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model PairsAnnual Meeting of the Association for Computational Linguistics (ACL)Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.2026
  33. ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood ModelFindings of the Association for Computational LinguisticsRuirui Wang, Haoran Zhang, Tian Lan, et al.2026
  34. Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to ConverseLanguage Resources and Evaluation Conference (LREC)Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.2026
  35. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  36. Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag ChallengesKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Daniel Schlör, Marius Bohn, Maximilian Wolf, et al.2026
  37. Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Bowei Zhang, Hanbing Liu, Qixin Tian, et al.2026
  38. ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome PathwayFindings of the Association for Computational LinguisticsJueon Park, WonJune Jang, Chanhwi Kim, et al.2026
  39. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  40. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
  41. Training-Free Adaptive Speculative Decoding via Linguistic PriorsFindings of the Association for Computational LinguisticsJingyi Wang, Jiaqi Huang, Zunnan Xu, et al.2026
  42. TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.2026
  43. Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
  44. Uncertainty-Aware Test-Time Search for Optimization Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Linlin Yu, Xujiang Zhao, Dong Li, et al.2026
  45. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026
  46. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
  47. ViLegalLM: Language Models for Vietnamese Legal TextFindings of the Association for Computational LinguisticsTruong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen2026
  48. Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related ImagesAnnual Meeting of the Association for Computational Linguistics (ACL)Qishun Yang, Shu Yang, Lijie Hu, et al.2026
  49. What Tokens Truly Matter? The Logit Conflation Problem in LLM SamplingFindings of the Association for Computational LinguisticsPinlong Zhao, Huijun Tang, Pengfei Jiao, et al.2026
  50. What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.2026
  51. When Tables Go Crazy: Evaluating Multimodal Models on French Financial DocumentsFinancial Narrative Processing WorkshopVirginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.2026
  52. 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
  53. 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
  54. WildReward: Learning Reward Models from In-the-Wild Human InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2026
  55. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026
  56. Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and EvaluationFindings of the Association for Computational LinguisticsKelvin Han, Claire Gardent2025
  57. 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
  58. TounsiBench: Benchmarking Large Language Models for Tunisian ArabicConference on Empirical Methods in Natural Language Processing (EMNLP)Souha Ben Hassine, Asma Arrak, Marouene Addhoum, et al.2025
  59. 360Zhinao Technical ReportarXiv:2405.133862024

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