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Who cites Ruochen Xu

1,630 citations of their works from 1,614 papers of our library (of the 149,439 whose bibliographies we read) · 329 with a page here, the most cited first · page 4 of 4 · 301–329 · ← Ruochen Xu

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  1. Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zizhen Wang, Bo Feng, Zhengfeng Lai, et al.2026
  2. QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
  3. R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and RubricsTransactions of the Association for Computational Linguistics (TACL)Li S. Yifei, Allen Chang, Chaitanya Malaviya, et al.2026
  4. RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Enzhi Wang, Jiaming Zhou, Yuhang Jia, et al.2026
  5. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
  6. ReSQL: Self-Improving Framework for Reasoning-Aware Text-to-SQL Dataset GenerationFindings of the Association for Computational LinguisticsMinjun Park, Yongju Seong, Myoseop Sim, et al.2026
  7. Reward Modeling for Scientific Writing EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych2026
  8. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
  9. SAD: A Large-Scale Strategic Argumentative Dialogue DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Jiayang Yu, Mingyang Wang, et al.2026
  10. SAUCE: Summary Analysis Using Conversation EntailmentWorkshop on Generation, Evaluation and Metrics (GEM)Man-Ling Sung, Hemanth Kandula, Jeff Ma, et al.2026
  11. SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced SummarizationFindings of the Association for Computational LinguisticsBo-Jyun Wang, Ying-Jia Lin, Hung-Yu Kao2026
  12. 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
  13. Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavejLanguage Resources and Evaluation Conference (LREC)Shubham Kumar Nigam, Deepak Patnaik Balaramamahanthi, Noel Shallum, et al.2026
  14. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
  15. Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking StrategiesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson2026
  16. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
  17. 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
  18. 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
  19. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026
  20. Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and PracticeFindings of the Association for Computational LinguisticsQiyao Wang, Guhong Chen, Hongbo Wang, et al.2026
  21. TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question AnsweringFindings of the Association for Computational LinguisticsMohammadamin Shafiei, Hamidreza Saffari, Mohammad Taher Pilehvar, et al.2026
  22. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
  23. UniDataBench: Evaluating Data Analytics Agents Across Structured and Unstructured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Han Weng, Zhou Liu, Yuanfeng Song, et al.2026
  24. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
  25. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  26. When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented DialogueWorkshop on Generation, Evaluation and Metrics (GEM)Tanya Shourya, Yingfan Wang, Zhaoyi Joey Hou, et al.2026
  27. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025
  28. 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
  29. Survey on Commonsense Question Answering (常识问答研究综述)Journal of SoftwareYifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.2023

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