---
title: "Who cites Ze Liu — 807 papers of our library — Elamur Research"
description: "807 papers of the Elamur Research library cite the works of Ze Liu, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/ze-liu/cited-by/"
---
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# Who cites Ze Liu

901 citations of their works from 807 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · [← Ze Liu](https://md.research.elamur.ai/free/en/authors/ze-liu/)

1. **[Efficient Transformers: A Survey](https://md.research.elamur.ai/free/en/papers/tay-2020-efficient-transformers-survey/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Yi Tay, Mostafa Dehghani, Dara Bahri, et al.*2020 · 1,539 citations*
2. **[OCR-free Document Understanding Transformer](https://md.research.elamur.ai/free/en/papers/kim-2021-ocr-free-document-understanding-transformer/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Geewook Kim, Teakgyu Hong, Moonbin Yim, et al.*2021 · 584 citations*
3. [**Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection arXiv:2303.05499**Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.*2023 · 472 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/)
4. [**InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238**Zhe Chen, Jiannan Wu, Wenhai Wang, et al.*2023 · 435 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-internvl-scaling-up-vision/)
5. **[MM-LLMs: Recent Advances in MultiModal Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2024-mm-llms-recent-advances-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Duzhen Zhang, Yahan Yu, Jiahua Dong, et al.*2024 · 320 citations*
6. [**LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models arXiv:2309.12307**Yukang Chen, Shengju Qian, Haotian Tang, et al.*2023 · 268 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-longlora-efficient-fine-tuning-long/)
7. **[InternVideo2: Scaling Foundation Models for Multimodal Video Understanding](https://md.research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yi Wang, Kunchang Li, Xinhao Li, et al.*2024 · 253 citations*
8. [**CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers arXiv:2205.15868**Wenyi Hong, Ming Ding, Wendi Zheng, et al.*2022 · 191 citations*](https://md.research.elamur.ai/free/en/papers/hong-2022-cogvideo-large-scale-pretraining/)
9. [**Chameleon: Mixed-Modal Early-Fusion Foundation Models arXiv:2405.09818**Chameleon Team*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/)
10. [**InternVideo: General Video Foundation Models via Generative and Discriminative Learning arXiv:2212.03191**Yi Wang, Kunchang Li, Yizhuo Li, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-internvideo-general-video-foundation/)
11. [**Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast arXiv:2211.02556**Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/bi-2022-pangu-weather-3d-high/)
12. **[UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.*2023 · 121 citations*
13. [**Evaluation of OpenAI o1: Opportunities and Challenges of AGI arXiv:2409.18486**Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.*2024 · 64 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-evaluation-openai-o1-opportunities-challenges/)
14. [**AutoML-GPT: Automatic Machine Learning with GPT arXiv:2305.02499**Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.*2023 · 52 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-automl-gpt-automatic-machine-learning/)
15. **[Multi-modal Stance Detection: New Datasets and Model](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Liang, Ang Li, Jingqian Zhao, et al.*2024 · 28 citations*
16. **[CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*
17. **[Qalam: A Multimodal LLM for Arabic Optical Character and Handwriting Recognition](https://md.research.elamur.ai/free/en/papers/bhatia-2024-qalam-multimodal-llm-arabic-optical/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Gagan Bhatia, El Moatez Billah Nagoudi, Fakhraddin Alwajih, et al.*2024 · 20 citations*
18. **[OmniBench: Towards The Future of Universal Omni-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhi Li, Yinghao Ma, Ge Zhang, et al.*2024 · 17 citations*
19. **[2*n is better than n²: Decomposing Event Coreference Resolution into Two Tractable Problems](https://md.research.elamur.ai/free/en/papers/ahmed-2023-2-n-is-better-than/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shafiuddin Rehan Ahmed, Abhijnan Nath, James H. Martin, et al.*2023 · 17 citations*
20. [**PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation arXiv:2312.17276**Yunhe Wang, Hanting Chen, Yehui Tang, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pangu-pi-enhancing-language/)
21. **[Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles](https://md.research.elamur.ai/free/en/papers/nath-2024-multimodal-cross-document-event-coreference/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, et al.*2024 · 7 citations*
22. **[Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts](https://md.research.elamur.ai/free/en/papers/sarawgi-2026-digitizing-nepal-s-written-heritage/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anjali Sarawgi, Esteban Garces Arias, Christof Zotter*2026 · 2 citations*
23. **[Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework](https://md.research.elamur.ai/free/en/papers/yan-2026-sculpting-vector-space-efficient-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Yan, Mingdong Ou, Yi Cao, et al.*2026 · 2 citations*
24. **[A Survey of Deep Learning for Geometry Problem Solving](https://md.research.elamur.ai/free/en/papers/ma-2026-survey-deep-learning-geometry-problem/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianzhe Ma, Wenxuan Wang, Qin Jin*2026 · 1 citation*
25. **[DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization](https://md.research.elamur.ai/free/en/papers/shen-2026-dragon-domain-specific-robust-automatic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Shen, Hang Yan, Zhongshi Xing, et al.*2026 · 1 citation*
26. **[MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding](https://md.research.elamur.ai/free/en/papers/luo-2026-museg-reinforcing-video-temporal-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fuwen Luo, Shengfeng Lou, Chi Chen, et al.*2026 · 1 citation*
27. **[Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/luo-2026-utility-oriented-visual-evidence-selection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiqing Luo, Zongye Hu, Xiao Wang, et al.*2026 · 1 citation*
28. **[Benchmarking the Fine-Grained Discriminability in Image-Text Retrieval via Controlled Contrastive Differences](https://md.research.elamur.ai/free/en/papers/wang-2026-benchmarking-fine-grained-discriminability-image/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Wang, Xi Zhou, Yating Yang, et al.*2026*
29. **[Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-query-bias-candidate-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nan Sun, Jing Tang, Lei Sun, et al.*2026*
30. **[eSciBench: An Extensible Scientific PDF Extraction Benchmark](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Noah Tremblay Taillon, Phillippe Langlais*2026*
31. **[Flow-Based Page Unique Semantic Mapping Architecture for Document Visual Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-flow-based-page-unique-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haosen Wang, Jing Xiao, Chaochao Du, et al.*2026*
32. **[Multimodal Transformer Framework for Multilingual Harmful Meme Classification](https://md.research.elamur.ai/free/en/papers/rajkumar-2026-multimodal-transformer-framework-multilingual-harmful/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Charmathi Rajkumar, Malliga Subramanian, Bharathi Raja Chakravarthi*2026*
33. **[No Overfit at NakbaArchiveClassifier Shared Task: A Swin Transformer-Based System for Destruction Image Classification](https://md.research.elamur.ai/free/en/papers/mohamed-2026-no-overfit-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Mohamed Fathy Mohamed, Samar Mahmoud Abd El-Mageed, Ensaf Mohamed*2026*
34. **[Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-composed-image-retrieval-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tingyu Song, Yanzhao Zhang, Mingxin Li, et al.*2026*

773 more citing papers of our library have no page here yet.

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