--- title: "Who cites Salman Khan" description: "228 papers of the Elamur Research library cite the works of Salman Khan, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/salman-khan/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/salman-khan/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Salman Khan](https://md.research.elamur.ai/free/en/authors/salman-khan/) / cited by # Who cites Salman Khan 229 citations of their works from 228 papers of our library (of the 140 884 whose bibliographies we read) · 17 with a page here, the most cited first · [← Salman Khan](https://md.research.elamur.ai/free/en/authors/salman-khan/) - [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 · 3 221 citations - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 · 1 286 citations - [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · 2023 · 1 262 citations - [Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) — Yue Zhang, Yafu Li, Leyang Cui, et al. · 2023 · 962 citations - [Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/) — Bin Lin, Yang Ye, Bin Zhu, et al. · 2023 · 614 citations - [MVBench: A Comprehensive Multi-modal Video Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/li-2023-mvbench-comprehensive-multi-modal-video/) — Kunchang Li, Yali Wang, Yinan He, et al. · 2023 · 441 citations - [LLaVA-OneVision: Easy Visual Task Transfer](https://md.research.elamur.ai/free/en/papers/li-2024-llava-onevision-easy-visual-task/) — Bo Li, Yuanhan Zhang, Dong Guo, et al. · 2024 · 440 citations - [VILA: On Pre-training for Visual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/) — Ji Lin, Hongxu Yin, Wei Ping, et al. · 2023 · 367 citations - [An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-image-worth-1-2-tokens/) — Liang Chen, Haozhe Zhao, Tianyu Liu, et al. · 2024 · 276 citations - [SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension](https://md.research.elamur.ai/free/en/papers/li-2023-seed-bench-benchmarking-multimodal-llms/) — Bohao Li, Rui Wang, Guangzhi Wang, et al. · 2023 · 247 citations - [Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2023-video-llama-instruction-tuned-audio/) — Hang Zhang, Xin Li, Lidong Bing · 2023 · 217 citations - [SALMONN: Towards Generic Hearing Abilities for Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2023-salmonn-towards-generic-hearing-abilities/) — Changli Tang, Wenyi Yu, Guangzhi Sun, et al. · 2023 · 202 citations - [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/) — Zihao Deng, Yinghao Ma, Yudong Liu, et al. · 2024 · 27 citations - [ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/) — Sara Ghaboura, Shubham Patle, Ketan More, et al. · 2026 · 3 citations - [Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges](https://md.research.elamur.ai/free/en/papers/haouhat-2025-arabic-multimodal-machine-learning-datasets/) — Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al. · 2025 · 3 citations - [Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark Dataset](https://md.research.elamur.ai/free/en/papers/ohira-2026-can-video-llms-see-through/) — Souto Ohira, Tosho Hirasawa, Mamoru Komachi · 2026 - [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/) — Yaning Pan, Qianqian Xie, Guohui Zhang, et al. · 2026 211 more citing papers of our library have no page here yet.