---
title: "Who cites Tianhao Wu — page 2 — 352 papers of our library"
description: "352 papers of the Elamur Research library cite the works of Tianhao Wu, found in their bibliographies · page 2 of 2 · 101–127; the most cited first."
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---
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# Who cites Tianhao Wu

358 citations of their works from 352 papers of our library (of the 149,439 whose bibliographies we read) · 127 with a page here, the most cited first · page 2 of 2 · 101–127 · [← Tianhao Wu](https://md.research.elamur.ai/free/en/authors/tianhao-wu/)

[← prev](https://md.research.elamur.ai/free/en/authors/tianhao-wu/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/tianhao-wu/cited-by/) **2**

101. **[ClinAlign: Scaling Healthcare Alignment from Clinician Preference](https://md.research.elamur.ai/free/en/papers/lyu-2026-clinalign-scaling-healthcare-alignment-clinician/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiwei Lyu, Xidong Wang, Hao Zhu, et al.*2026*
102. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://md.research.elamur.ai/free/en/papers/wu-2026-coig-p-high-quality-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siwei Wu, JinCheng Ren, Xeron Du, et al.*2026*
103. **[DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization](https://md.research.elamur.ai/free/en/papers/zhou-2026-dynamicfocalpo-adaptive-focusing-strategy-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shu Zhou, Junan Chen, Rui Ling, et al.*2026*
104. **[LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models](https://md.research.elamur.ai/free/en/papers/ratnakar-2026-latentgate-low-latency-semantic-routing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shivam Ratnakar, Abhiroop Talasila, Vinayak K Doifode*2026*
105. **[MA²P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion](https://md.research.elamur.ai/free/en/papers/zhang-2026-ma-2-p-meta-cognitive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dingyi Zhang, Ziqing Zhuang, Linhai Zhang, et al.*2026*
106. **[Mediocrity is the key for LLM as a Judge Anchor Selection](https://md.research.elamur.ai/free/en/papers/yehiya-2026-mediocrity-is-key-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, et al.*2026*
107. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.*2026*
108. **[Preference Optimization for Review Question Generation Improves Writing Quality](https://md.research.elamur.ai/free/en/papers/sharma-2026-preference-optimization-review-question-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karun Sharma, Vidushee Vats, Shengzhi LI, et al.*2026*
109. **[PRISM: Probabilistic Reward Model with Inherent Structural Modeling](https://md.research.elamur.ai/free/en/papers/zhou-2026-prism-probabilistic-reward-model-inherent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Zhou, Yixin Cao, Yuchen Ni, et al.*2026*
110. **[ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasonrec-reasoning-augmented-multimodal-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yihua Zhang, Mingfu Liang, Jiyan Yang, et al.*2026*
111. **[ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework](https://md.research.elamur.ai/free/en/papers/qin-2026-reflectrm-boosting-generative-reward-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Qin, Liangxin Liu, Yu Liang, et al.*2026*
112. **[Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://md.research.elamur.ai/free/en/papers/xiao-2026-revisiting-self-play-preference-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.*2026*
113. **[Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization](https://md.research.elamur.ai/free/en/papers/tang-2026-route-rome-attack-directing-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haochun Tang, Yuliang Yan, Jiahua Lu, et al.*2026*
114. **[RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment](https://md.research.elamur.ai/free/en/papers/luo-2026-routelmt-learned-sample-routing-hybrid/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingfeng Luo, Hongyu Liu, DingYang Lin, et al.*2026*
115. **[RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-routemoa-dynamic-routing-without-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jize Wang, Han Wu, Zhiyuan You, et al.*2026*
116. **[RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning](https://md.research.elamur.ai/free/en/papers/xiao-2026-routerhgc-optimized-router-llm-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yitao Xiao, Shaoyong Guo, Guoming Yang, et al.*2026*
117. **[Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-self-guided-alignment-adaptive-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Wang, Zhanyang Liu, Taotao Zhou, et al.*2026*
118. **[SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System](https://md.research.elamur.ai/free/en/papers/wang-2026-semirouter-sparse-data-enhanced-routing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zijie Wang, Xinyu Yan, Che Wang, et al.*2026*
119. **[Shorten After You're Right: Lazy Length Penalties for Reasoning RL](https://md.research.elamur.ai/free/en/papers/yuan-2026-shorten-after-you-re-right/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Danlong Yuan, Tian Xie, Shaohan Huang, et al.*2026*
120. **[SPIDE: Serial and Parallel Intertwined Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xu-2026-spide-serial-parallel-intertwined-speculative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenru Xu, Peixuan Xu, Ziqi Yang, et al.*2026*
121. **[Success and Cost Elicit Convention Formation for Efficient Communication](https://md.research.elamur.ai/free/en/papers/vaduguru-2026-success-cost-elicit-convention-formation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Saujas Vaduguru, Yilun Hua, Yoav Artzi, et al.*2026*
122. **[Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios](https://md.research.elamur.ai/free/en/papers/liu-2026-task-aware-llm-routing-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Liu, Bin Zou, Kecheng Chen, et al.*2026*
123. **[Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI](https://md.research.elamur.ai/free/en/papers/zhao-2026-telling-speculative-stories-help-humans/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingmeng Zhao, Tongnian Wang, Dan Schumacher, et al.*2026*
124. **[Vertical Routing: A Cost-Efficient Collaboration Routing Framework](https://md.research.elamur.ai/free/en/papers/shen-2026-vertical-routing-cost-efficient-collaboration/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Si Shen, Peijun Shen, Danhao Zhu*2026*
125. **[What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing](https://md.research.elamur.ai/free/en/papers/pichlmeier-2026-what-router-sees-matters-funnel/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.*2026*
126. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*
127. **[TounsiBench: Benchmarking Large Language Models for Tunisian Arabic](https://md.research.elamur.ai/free/en/papers/hassine-2025-tounsibench-benchmarking-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Souha Ben Hassine, Asma Arrak, Marouene Addhoum, et al.*2025*

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