---
title: "Who cites Serge Belongie — page 4 — 3,083 citing papers"
description: "3,083 papers of the Elamur Research library cite the works of Serge Belongie, found in their bibliographies · page 4 of 4 · 301–322; the most…"
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---
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# Who cites Serge Belongie

3,318 citations of their works from 3,083 papers of our library (of the 149,439 whose bibliographies we read) · 322 with a page here, the most cited first · page 4 of 4 · 301–322 · [← Serge Belongie](https://md.research.elamur.ai/free/en/authors/serge-belongie/)

[← prev](https://md.research.elamur.ai/free/en/authors/serge-belongie/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/serge-belongie/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/serge-belongie/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/serge-belongie/cited-by/page/3/) **4**

301. **[MirrorQA: Benchmarking Multimodal LLMs on Mirror-Orientation Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-mirrorqa-benchmarking-multimodal-llms-mirror/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingping Liu, Xingchen Peng, Yan Zhou, et al.*2026*
302. **[Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation](https://md.research.elamur.ai/free/en/papers/zhu-2026-mitigating-hallucinations-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.*2026*
303. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
304. **[Model-Agnostic Meta Learning for Class Imbalance Adaptation](https://md.research.elamur.ai/free/en/papers/rao-2026-model-agnostic-meta-learning-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanshu Rao, Guangzeng Han, Xiaolei Huang*2026*
305. **[Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text](https://md.research.elamur.ai/free/en/papers/pasi-2026-multilingual-multimodal-m2m-unlocking-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Piyush Singh Pasi*2026*
306. **[Multimodal LLMs Do Not Compose Skills Optimally across Modalities](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*
307. **[Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks](https://md.research.elamur.ai/free/en/papers/sarwar-2026-multimodal-unlearning-across-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.*2026*
308. **[Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-overview-evahan2026-first-international-evaluation/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Dongbo Wang, Dongmei Zhu, Jieqiong Li, et al.*2026*
309. **[Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods](https://md.research.elamur.ai/free/en/papers/yuan-2026-reducing-token-redundancy-lvlms-systematic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, et al.*2026*
310. **[Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework](https://md.research.elamur.ai/free/en/papers/nguyen-2026-region-grounded-report-generation-3d/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cong Huy Nguyen, Son Dinh Nguyen, Guanlin Li, et al.*2026*
311. **[StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-structbreak-structural-cognitive-overload-induced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Luo, Liu Xinran, TianTian Ji, et al.*2026*
312. **[STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*
313. **[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*
314. **[SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization](https://md.research.elamur.ai/free/en/papers/mohammad-2026-surgellm-rethinking-multi-task-evaluation/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Noor Islam S. Mohammad, Ulug Bayazit*2026*
315. **[Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code Detection](https://md.research.elamur.ai/free/en/papers/ramesh-2026-team-yuvan-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yuvan Ramesh, Tongtong Wu*2026*
316. **[Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning](https://md.research.elamur.ai/free/en/papers/wan-2026-test-time-scaling-multimodal-foundation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cong Wan, Ying He, Zhongzhan Huang, et al.*2026*
317. **[Text-Guided Multi-Scale Frequency Representation Adaptation](https://md.research.elamur.ai/free/en/papers/yan-2026-text-guided-multi-scale-frequency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicai Yan, Xinhua Ma, Wang Lin, et al.*2026*
318. **[UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-unicm-unified-consistency-model-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenkai Xu, Xu Wang, Zhenyi Liao, et al.*2026*
319. **[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*
320. **[BZU-AUM@ImageEval2025: An Arabic Image Captioning Dataset for Conflict Narratives with Human Annotation](https://md.research.elamur.ai/free/en/papers/alkhanafseh-2025-bzu-aum-imageeval2025-arabic-image/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohammed Alkhanafseh, Ola Surakhi, Abdallah Abedaljalill*2025*
321. [**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*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
322. **[Survey on Vision-language Pre-training (视觉语言预训练综述)](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*

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2,761 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/serge-belongie/) — Serge Belongie