---
title: "Who cites Zesen Cheng — page 2 — 444 papers of our library"
description: "444 papers of the Elamur Research library cite the works of Zesen Cheng, found in their bibliographies · page 2 of 2 · 101–136; the most cited first."
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---
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# Who cites Zesen Cheng

454 citations of their works from 444 papers of our library (of the 149,439 whose bibliographies we read) · 136 with a page here, the most cited first · page 2 of 2 · 101–136 · [← Zesen Cheng](https://md.research.elamur.ai/free/en/authors/zesen-cheng/)

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

101. **[MMTabReal: Real-World Benchmark for Multimodal Table Understanding](https://md.research.elamur.ai/free/en/papers/titiya-2026-mmtabreal-real-world-benchmark-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Prasham Yatinkumar Titiya, Jainil Trivedi, Chitta Baral, et al.*2026*
102. **[MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment](https://md.research.elamur.ai/free/en/papers/wu-2026-mobilebench-ol-comprehensive-chinese-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qinzhuo Wu, Zhizhuo Yang, Hanhao Li, et al.*2026*
103. **[More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sun-2026-more-than-sum-its-parts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runze Sun, Yu Zheng, Zexuan Xiong, et al.*2026*
104. **[MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*
105. **[Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/wu-2026-multi-task-reinforcement-learning-enhanced/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wu, Xuan Kan, Zihao He, et al.*2026*
106. **[MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction](https://md.research.elamur.ai/free/en/papers/sun-2026-mvp-enhancing-video-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaokun Sun, Zezhong Wu, Zewen Ding, et al.*2026*
107. **[Not Gemma at AR-MS NakbaNLP 2026: Mubsir OCR: End-to-End Recognition of Arabic Handwritten Text](https://md.research.elamur.ai/free/en/papers/ali-2026-not-gemma-ar-ms-nakbanlp/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Ali Adel Ali, Mona Khaled Ali, Mohamed Emad Sayed, et al.*2026*
108. **[Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-omni-i2c-holistic-benchmark-high/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Zhou, Chi Zhang, Xiang Feng, et al.*2026*
109. **[OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents](https://md.research.elamur.ai/free/en/papers/yang-2026-os-symphony-holistic-framework-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bowen Yang, Kaiming Jin, Zhenyu Wu, et al.*2026*
110. **[PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR](https://md.research.elamur.ai/free/en/papers/yao-2026-par-training-free-positional-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Yao, Manwen Liao, Weitian Zhang, et al.*2026*
111. **[Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-putting-captions-test-evaluating-video/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zizhen Wang, Bo Feng, Zhengfeng Lai, et al.*2026*
112. [**QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge arXiv:2609.22038 · Arabic NLP 2026**Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari*2026*](https://md.research.elamur.ai/free/en/papers/ghali-2026-quranicmmlu-cognitively-aware-benchmark-evaluating/)
113. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingle Xu, Fanheng Kong, Dexian Cai, et al.*2026*
114. **[Response Content Units: Evaluating Completeness and Proactiveness in Medical Open-Response Question Answering](https://md.research.elamur.ai/free/en/papers/park-2026-response-content-units-evaluating-completeness/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Yongsin Park, Wen-wai Yim, Emma McKibbin, et al.*2026*
115. **[Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/ma-2026-response-g1-explicit-scene-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ke Ma, Jiaqi Tang, Bin Guo, et al.*2026*
116. **[S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models](https://md.research.elamur.ai/free/en/papers/shukla-2026-s2h-dpo-hardness-aware-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nitish Shukla, Surgan Jandial, Arun Ross*2026*
117. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.*2026*
118. **[Selective Multimodal Retrieval for Automated Verification of Image–Text Claims](https://md.research.elamur.ai/free/en/papers/tsoneva-2026-selective-multimodal-retrieval-automated-verification/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Yoana Tsoneva, Paul-Conrad Feig, Jiaao Li, et al.*2026*
119. **[Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2026-spatiotemporal-sycophancy-negation-based-gaslighting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyao Tang, Pengkun Jiao, Bin Zhu, et al.*2026*
120. **[Spectra: A Mechanistic Interpretability Library for Vision-Language Models](https://md.research.elamur.ai/free/en/papers/neo-2026-spectra-mechanistic-interpretability-library-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Clement Neo, Yongsen Zheng, Kwok-Yan Lam, et al.*2026*
121. **[SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification](https://md.research.elamur.ai/free/en/papers/te-2026-ssr-spatial-semantic-aware-instructions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cao Te, Mengge Xue, Zhenyu Hu, et al.*2026*
122. **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026*
123. **[TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity](https://md.research.elamur.ai/free/en/papers/yang-2026-tablevista-benchmarking-multimodal-table-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Yang, Liqiang Shang, Junjie Chen, et al.*2026*
124. **[Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-take-it-all-ensemble-retrieval/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.*2026*
125. **[The Halo Effect and Language Takeover: Spatiotemporal Attention Decay Explains Vision-Language Model Failures in Simple Visual Counting](https://md.research.elamur.ai/free/en/papers/zhao-2026-halo-effect-language-takeover-spatiotemporal/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Haochen Zhao, Sujian Li*2026*
126. **[Towards Scalable Lightweight GUI Agents via Multi-role Orchestration](https://md.research.elamur.ai/free/en/papers/wang-2026-scalable-lightweight-gui-agents-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Junjie Zheng, Leyang Yang, et al.*2026*
127. **[TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics](https://md.research.elamur.ai/free/en/papers/wen-2026-turtleai-benchmarking-multimodal-models-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chao Wen, Jacqueline Staub, Adish Singla*2026*
128. **[TVWorld: Foundations for Remote-Control TV Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-tvworld-foundations-remote-control-tv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhantao Ma, Quanfeng Lu, Shuai Zhong, et al.*2026*
129. **[v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound](https://md.research.elamur.ai/free/en/papers/shi-2026-v-hub-benchmark-video-humor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.*2026*
130. **[VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval](https://md.research.elamur.ai/free/en/papers/silva-2026-vigia-instructional-video-guidance-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Diogo Glória-Silva, David Semedo, Joao Magalhaes*2026*
131. **[Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues](https://md.research.elamur.ai/free/en/papers/zhang-2026-vision-language-models-mistake-head/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zory Zhang, Pinyuan Feng, Bingyang Wang, et al.*2026*
132. **[Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images](https://md.research.elamur.ai/free/en/papers/yang-2026-visual-self-fulfilling-alignment-shaping/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qishun Yang, Shu Yang, Lijie Hu, et al.*2026*
133. **[VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning](https://md.research.elamur.ai/free/en/papers/xiao-2026-vl-calibration-decoupled-confidence-calibration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenyi Xiao, Xinchi XU, Leilei Gan*2026*
134. **[What Do Vision–Language Models Encode for Personalized Image Aesthetics Assessment?](https://md.research.elamur.ai/free/en/papers/ryu-2026-what-do-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Koki Ryu, Hitomi Yanaka*2026*
135. **[What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning](https://md.research.elamur.ai/free/en/papers/weng-2026-what-s-missing-vision-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.*2026*
136. **[When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-when-good-ocr-is-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Sun, Wangdexian, Jingang Huang, et al.*2026*

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