🧑‍🔬 Who cites Alexander G. Hauptmann

254 citations of their works from 246 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← Alexander G. Hauptmann

1. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
2. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
3. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
4. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
5. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 371 citations
6. Robust Neural Machine Translation with Doubly Adversarial InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Yong Cheng, Lu Jiang, Wolfgang Macherey2019 · 325 citations
7. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 111 citations
8. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
9. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, et al.2024 · 54 citations
10. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark MixturesConference on Neural Information Processing Systems (NeurIPS)Jinjie Ni, Fuzhao Xue, Xiang Yue, et al.2024 · 47 citations
11. Improve Vision Language Model Chain-of-thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.2025 · 42 citations
12. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
13. Can Large Language Models Address Open-Target Stance Detection?Findings of the Association for Computational LinguisticsAbu Ubaida Akash, Ahmed Fahmy, Amine Trabelsi2025 · 12 citations
14. Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningarXiv:2504.16656Peiyu Wang, Yichen Wei, Yi Peng, et al.2025 · 10 citations
15. Acquired TASTE: Multimodal Stance Detection with Textual and Structural EmbeddingsInternational Conference on Computational Linguistics (COLING)Guy Barel, Oren Tsur, Dan Vilenchik2025 · 8 citations
16. ME2-BERT: Are Events and Emotions what you need for Moral Foundation Prediction?International Conference on Computational Linguistics (COLING)Lorenzo Zangari, Candida M. Greco, Davide Picca, et al.2025 · 5 citations
17. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.2026 · 4 citations
18. CMTD: Cognitive Modeling with Traits and Distortions for Multimodal Emotion Recognition in ConversationsFindings of the Association for Computational LinguisticsMinh-Tien Nguyen, Huu-Loi Le, Manh-Cuong Phan, et al.2026 · 2 citations
19. The KANT perspective: a critique of pure transfer (and pure interlingua, pure statistics, .. )Jaime G. Carbonell, Teruko Mitamura1992 · 2 citations
20. MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment AnalysisFindings of the Association for Computational LinguisticsXingle Xu, YongKang Liu, Dexian Cai, et al.2026 · 1 citation
21. Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and DistillationFindings of the Association for Computational LinguisticsHaonan Shangguan, Xiaocui Yang, Shi Feng, et al.2026 · 1 citation
22. EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and MissingnessFindings of the Association for Computational LinguisticsYueru Sun, Yimeng Zhang, Haoyu Gu, et al.2026
23. PEC-Home: Interpretation of Progressively Elliptical Commands in Smart HomesFindings of the Association for Computational LinguisticsYingyu Shan, Zeming Liu, Silin Li, et al.2026
24. 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

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