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Nicholas Monath

Autoregressive Structured Prediction with Language Models

Nov 17, 2022
Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan

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* EMNLP 2022 (findings)

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Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization

Oct 23, 2022
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum

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* EMNLP 2022. Code for all experiments and model checkpoints are available at https://github.com/iesl/anncur

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Unsupervised Opinion Summarization Using Approximate Geodesics

Sep 15, 2022
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

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* Work in Progress

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Sublinear Time Approximation of Text Similarity Matrices

Dec 17, 2021
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco

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* 25 pages, 10 figures

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Exact and Approximate Hierarchical Clustering Using A*

Apr 14, 2021
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

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* 30 pages, 9 figures

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Model-Agnostic Graph Regularization for Few-Shot Learning

Feb 14, 2021
Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec

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* NeurIPS Workshop on Meta-Learning 2020

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