基本信息
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Career Trajectory
Bio
My research aims at enabling ubiquitous long-form text generation, where anyone can produce a document on any topic with just a few clicks. To achieve this goal, my research focuses on the following three directions, utilizing advances in deep learning combined with probabilistic modeling:
Long-Form Coherence to generate coherent documents with self-consistency and clear transitions.
Transparent Generation to enable users to understand, debug, and control document generation.
Efficient Systems to handle the scale and real-time requirements of long-form text generation.
Long-Form Coherence to generate coherent documents with self-consistency and clear transitions.
Transparent Generation to enable users to understand, debug, and control document generation.
Efficient Systems to handle the scale and real-time requirements of long-form text generation.
Research Interests
Papers共 45 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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ICLR 2024 (2024)
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Wenting Zhao,Tanya Goyal, Yu Ying Chiu,Liwei Jiang, Benjamin Newman,Abhilasha Ravichander, Khyathi Chandu,Ronan Le Bras,Claire Cardie,Yuntian Deng,Yejin Choi
arxiv(2024)
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CoRR (2023)
Richa Rastogi,Yair Schiff,Alon Hacohen, Zhaozhi Li, Ian Lee,Yuntian Deng,Mert R. Sabuncu,Volodymyr Kuleshov
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CoRR (2023): 6253-6267
CoRR (2023)
Richa Rastogi,Yair Schiff,Alon Hacohen, Zhaozhi Li, Ian Lee,Yuntian Deng,Mert R. Sabuncu,Volodymyr Kuleshov
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