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Who cites Mohammad Rastegari

692 citations of their works from 686 papers of our library (of the 149,439 whose bibliographies we read) · 108 with a page here, the most cited first · page 2 of 2 · 101–108 · ← Mohammad Rastegari

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  1. L2Dir: Integrating L2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Zong, Rui Dai, Hongzhu Yi, et al.2026
  2. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
  3. M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatong Ma, Longteng Guo, Yuchen Liu, et al.2026
  4. pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware TrainingFindings of the Association for Computational LinguisticsWenzheng Zhang, Bingzheng Liu2026
  5. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum LearningFindings of the Association for Computational LinguisticsZhu Min, Yanchao Hao, Jian Liu, et al.2026
  6. UNIVID: Unified Vision-Language Model for Video ModerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kejuan Yang, Yizhuo Zhang, Mingyuan Du, et al.2026
  7. What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.2026
  8. Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and BottlenecksAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Sharon Li2026

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