J
Jianmo Ni
Researcher at University of California, San Diego
Publications - 45
Citations - 1750
Jianmo Ni is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Computer science & Scheduling (computing). The author has an hindex of 12, co-authored 33 publications receiving 825 citations. Previous affiliations of Jianmo Ni include Shanghai Jiao Tong University & Waseda University.
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Proceedings ArticleDOI
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.
TL;DR: This work proposes an ‘extractive’ approach to identify review segments which justify users’ intentions and designs two personalized generation models which can generate diverse justifications based on templates extracted from justification histories.
Journal ArticleDOI
Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model
TL;DR: A precise small-signal state-space model of the whole microgrid including droop controller, network, and loads is derived and genetic algorithm is introduced to search for optimal settings of the key parameters during time-domain simulation in MATLAB/Simulink.
Proceedings ArticleDOI
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
TL;DR: This paper investigates how to approach DST using a generation framework without the pre-defined ontology list, where each turn of user utterance and system response is directly generated by applying a hierarchical encoder-decoder structure.
Journal ArticleDOI
Scaling Up Models and Data with t5x and seqio
Adam Roberts,Hyung Won Chung,Anselm Levskaya,Gaurav Mishra,James Bradbury,Daniel Andor,Sharan Narang,Brian Lester,Colin Gaffney,Afroz Mohiuddin,Curtis Hawthorne,Aitor Lewkowycz,Alexandru D. Sălcianu,M. van Zee,Jacob Austin,Sebastian Goodman,Livio Soares,Haitang Hu,Sasha Tsvyashchenko,Aakanksha Chowdhery,Jasmijn Bastings,Jannis Bulian,Xavier Garcia,Jianmo Ni,A. Chen,Kathleen Kenealy,Jonathan H. Clark,Stephan G. Lee,Daniel H Garrette,James P. Lee-Thorp,Colin Raffel,Noam Shazeer,Marvin Ritter,Maarten Bosma,Alexandre Passos,Jeremy Maitin-Shepard,Noah Fiedel,Mark Omernick,Brennan Saeta,Ryan Sepassi,Alexander Spiridonov,Joshua Newlan,Andrea Gesmundo +42 more
TL;DR: Two software libraries are presented: t5x simplifies the process of building and training large language models at scale while maintaining ease of use, and seqio provides a task-based API for simple creation of fast and reproducible training data and evaluation pipelines.
Proceedings Article
Transformer Memory as a Differentiable Search Index
Yi Tay,Vinh Q. Tran,Mostafa Dehghani,Jianmo Ni,Dara Bahri,Harsh Mehta,Zhen Qin,Kai Hui,Zhe Zhao,Jai Gupta,T. Schuster,William W. Cohen,Donald Metzler +12 more
TL;DR: The Differentiable Search Index is introduced, a new paradigm that learns a text-to-text model that maps string queries directly to relevant docids; in other words, a DSI model answers queries directly using only its parameters, dramatically simplifying the whole retrieval process.