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Paxion: Patching Action Knowledge in Video-Language Foundation Models
Analyzing and patching action knowledge in video-language models - NeurIPS 2023 (Spotlight)
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
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Paxion: Patching Action Knowledge in Video-Language Foundation Models
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Evaluation of Text-to-Image Generation Models in Reasoning Skills and Social Biases - ICCV 2023
Jaemin Cho, Abhay Zala, Mohit Bansal
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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Hierarchical Video-Moment Retrieval and Step-Captioning
HiREST is a holistic, hierarchical benchmark of multimodal retrieval and step-by-step summarization for a video corpus - CVPR 2023
Abhay Zala*, Jaemin Cho*, Satwik Kottur, Xilun Chen, Barlas Oğuz, Yasahar Mehdad, Mohit Bansal
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Hierarchical Video-Moment Retrieval and Step-Captioning
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
Efficient VL modeling with Perceiver-based iterative cross-attentions - WACV 2023
Zineng Tang*, Jaemin Cho*, Jie Lei, Mohit Bansal
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Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
TVLT: Textless Vision-Language Transformer
Vision-and-Language modeling without text, by using a transformer which takes only raw visual and audio inputs - NeurIPS 2022 (Oral)
Zineng Tang*, Jaemin Cho*, Yixin Nie*, Mohit Bansal
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TVLT: Textless Vision-Language Transformer
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
LST brings Memory efficiency into Parameter-efficient transfer learning - NeurIPS 2022
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
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LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Fine-grained Image Captioning with CLIP Reward
Findings of NAACL 2022
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal
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Fine-grained Image Captioning with CLIP Reward
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Adapter-based Parameter-Efficient Training for V&L tasks - CVPR 2022
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
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VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
A question answering benchmark on real-world news articles for multi-media and multi-hop reasoning - AAAI 2022
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avi Sil, Shih-Fu Chang, Alexander Schiwing, Heng Ji
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MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Video-based grounding can improve diverse NLU tasks - NeurIPS 2021
Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
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VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer