Publications

Zineng Tang*, Jaemin Cho*, Yixin Nie*, Mohit Bansal (2022). TVLT: Textless Vision-Language Transformer. In NeurIPS.

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Yi-Lin Sung, Jaemin Cho, Mohit Bansal (2022). LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. In NeurIPS.

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Zineng Tang*, Jaemin Cho*, Jie Lei, Mohit Bansal (2022). Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. In WACV.

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Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal (2022). Fine-grained Image Captioning with CLIP Reward. In Findings of NAACL.

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Yi-Lin Sung, Jaemin Cho, Mohit Bansal (2022). VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. In CVPR.

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Jaemin Cho, Abhay Zala, Mohit Bansal (2022). DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers.

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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 (2021). MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. In AAAI.

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Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal (2021). VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. In NeurIPS.

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Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal (2021). Unifying Vision-and-Language Tasks via Text Generation. In ICML.

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Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi (2020). X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. In EMNLP.

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Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi (2019). Mixture Content Selection for Diverse Sequence Generation. In EMNLP.

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Yookoon Park, Jaemin Cho, Gunhee Kim (2018). A Hierarchical Latent Structure for Variational Conversation Modeling. In NAACL (Oral).

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