---
title: "Who cites Qi Tian — 565 papers of our library — Elamur Research"
description: "565 papers of the Elamur Research library cite the works of Qi Tian, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/qi-tian/cited-by/"
---
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# Who cites Qi Tian

578 citations of their works from 565 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · [← Qi Tian](https://md.research.elamur.ai/free/en/authors/qi-tian/)

1. [**YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934**Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao*2020 · 10,403 citations*](https://md.research.elamur.ai/free/en/papers/bochkovskiy-2020-yolov4-optimal-speed-accuracy-object/)
2. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Tan, Mohit Bansal*2019 · 2,789 citations*
3. **[UNITER: UNiversal Image-TExt Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2019-uniter-universal-image-text-representation/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yen-Chun Chen, Linjie Li, Licheng Yu, et al.*2019 · 2,418 citations*
4. [**VisualBERT: A Simple and Performant Baseline for Vision and Language arXiv:1908.03557**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,568 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
5. [**ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision arXiv:2102.03334**Wonjae Kim, Bokyung Son, Ildoo Kim*2021 · 804 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/)
6. [**Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model arXiv:2401.09417**Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.*2024 · 500 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-vision-mamba-efficient-visual-representation/)
7. [**LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention arXiv:2303.16199**Renrui Zhang, Jiaming Han, Chris Liu, et al.*2023 · 333 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-llama-adapter-efficient-fine-tuning/)
8. **[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 327 citations*
9. [**Multimodal Chain-of-Thought Reasoning in Language Models arXiv:2302.00923**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2023 · 308 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-multimodal-chain-thought-reasoning-language/)
10. [**Wan: Open and Advanced Large-Scale Video Generative Models arXiv:2503.20314**Team Wan, Ang Wang, Baole Ai, et al.*2025 · 260 citations*](https://md.research.elamur.ai/free/en/papers/wan-2025-wan-open-advanced-large-scale/)
11. **[GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2021-geoqa-geometric-question-answering-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaqi Chen, Jianheng Tang, Jinghui Qin, et al.*2021 · 184 citations*
12. **[Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion](https://md.research.elamur.ai/free/en/papers/huang-2025-self-forcing-bridging-train-test/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xun Huang, Zhengqi Li, Guande He, et al.*2025 · 146 citations*
13. **[UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression](https://md.research.elamur.ai/free/en/papers/chen-2022-unigeo-unifying-geometry-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaqi Chen, Tong Li, Jinghui Qin, et al.*2022 · 111 citations*
14. [**IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning arXiv:2110.13214**Pan Lu, Liang Qiu, Jiaqi Chen, et al.*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-iconqa-new-benchmark-abstract-diagram/)
15. [**Qwen-Image Technical Report arXiv:2508.02324**Chenfei Wu, Jiahao Li, Jingren Zhou, et al.*2025 · 92 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-qwen-image-technical-report/)
16. **[LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-lexeval-comprehensive-chinese-legal-benchmark/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haitao Li, You Chen, Qingyao Ai, et al.*2024 · 77 citations*
17. **[LegalAgentBench: Evaluating LLM Agents in Legal Domain](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haitao Li, Junjie Chen, Jingli Yang, et al.*2025 · 62 citations*
18. [**XAttention: Block Sparse Attention with Antidiagonal Scoring arXiv:2503.16428**Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.*2025 · 59 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-xattention-block-sparse-attention-antidiagonal/)
19. [**Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models arXiv:2305.16582**Yao Yao, Zuchao Li, Hai Zhao*2023 · 55 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-chain-thought-effective-graph-thought/)
20. [**Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing arXiv:2305.16635**Jaehun Jung, Peter West, Liwei Jiang, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/)
21. [**Step1X-Edit: A Practical Framework for General Image Editing arXiv:2504.17761**Shiyu Liu, Yucheng Han, Peng Xing, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-step1x-edit-practical-framework/)
22. [**Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model arXiv:2502.10248**Guoqing Ma, Haoyang Huang, Kun Yan, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-step-video-t2v-technical/)
23. [**HunyuanImage 3.0 Technical Report arXiv:2509.23951**Tencent Hunyuan Foundation Model Team*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-hunyuan-hunyuanimage-3-0-technical/)
24. [**Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation arXiv:2501.12202**Zibo Zhao, Zeqiang Lai, Qingxiang Lin, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-hunyuan3d-2-0-scaling/)
25. [**ERNIE 5.0 Technical Report arXiv:2602.04705**Haifeng Wang, Hua Wu, Tian Wu, et al.*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2026-ernie-5-0-technical/)
26. **[GLARE: Agentic Reasoning for Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/yang-2026-glare-agentic-reasoning-legal-judgment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Yang, Chenlong Deng, Zhicheng Dou*2026 · 5 citations*
27. **[CoV: Chain-of-View Prompting for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/zhao-2026-cov-chain-view-prompting-spatial/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Zhao, Akide Liu, Zeyu Zhang, et al.*2026 · 2 citations*
28. **[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*
29. **[MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling](https://md.research.elamur.ai/free/en/papers/wang-2026-mavis-multi-agent-framework-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qian Wang, Ziqi Huang, Ruoxi Jia, et al.*2026 · 1 citation*
30. **[Efficient Visual Grounding in VQA via Question-Guided Sparse Attention](https://md.research.elamur.ai/free/en/papers/yadla-2026-efficient-visual-grounding-vqa-question/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Prasanth Yadla*2026*
31. **[ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen](https://md.research.elamur.ai/free/en/papers/paul-2026-ilsic-corpora-identifying-indian-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shounak Paul, Raghav Dogra, Pawan Goyal, et al.*2026*
32. **[MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation](https://md.research.elamur.ai/free/en/papers/shi-2026-msvbench-human-level-evaluation-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyuan Shi, Yunxin li, Nanhao Deng, et al.*2026*

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

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