NLP

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
Unifying Vision-and-Language Tasks via Text Generation
Tackle different V&L tasks via text generation with a single unified architecture - ICML 2021
Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
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Unifying Vision-and-Language Tasks via Text Generation
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Text-to-Image Generation via predicting vector-quantized image patches with multimodal LMs - EMNLP 2020
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
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X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Mixture Content Selection for Diverse Sequence Generation
Separate Diversification from Generation to improve both diversity and accuracy in sequence generation - EMNLP 2019
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
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Mixture Content Selection for Diverse Sequence Generation
A Hierarchical Latent Structure for Variational Conversation Modeling
Propose a hierarchical VAE model and utterance drop regularization to mitigate posterior collapse problem - NAACL 2018 (Oral)
Yookoon Park, Jaemin Cho, Gunhee Kim
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A Hierarchical Latent Structure for Variational Conversation Modeling