---
title: "Who cites Nan Ding — page 2 — 592 papers of our library"
description: "592 papers of the Elamur Research library cite the works of Nan Ding, found in their bibliographies · page 2 of 2 · 101–113; the most cited first."
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# Who cites Nan Ding

594 citations of their works from 592 papers of our library (of the 149,439 whose bibliographies we read) · 113 with a page here, the most cited first · page 2 of 2 · 101–113 · [← Nan Ding](https://md.research.elamur.ai/free/en/authors/nan-ding/)

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

101. **[BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*
102. **[A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matej Martinc, Domen Vreš*2026*
103. **[AGIC: Attention-Guided Image Captioning to Improve Caption Relevance](https://md.research.elamur.ai/free/en/papers/teja-2026-agic-attention-guided-image-captioning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**L. D. M. S. Sai Teja, Ashok Urlana, Pruthwik Mishra*2026*
104. **[ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis](https://md.research.elamur.ai/free/en/papers/ramakrishnan-2026-anchor-llm-driven-subject-conditioning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee*2026*
105. **[Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-cross-modal-alignment-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanqi Yan, Xiangxiang Cui, Lu Yin, et al.*2026*
106. **[Frozen LLMs are Native Decoders for High-Norm Semantic Vectors](https://md.research.elamur.ai/free/en/papers/zeng-2026-frozen-llms-are-native-decoders/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunsheng Zeng, Yongmei Tan*2026*
107. **[Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-ghost-shell-synonym-aware-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*
108. **[Meaning Representations as Variational Quantum Circuits](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/) [International Workshop on Designing Meaning Representations @ LREC](https://md.research.elamur.ai/free/en/venues/dmr/)**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*
109. **[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*
110. **[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*
111. **[Multimodal Dual-Path Decoding for Medical Report Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-multimodal-dual-path-decoding-medical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinghan Sun, Dong Wei, Zhihong Zhu, et al.*2026*
112. **[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*
113. **[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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