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12/19/2022
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
Lack of factual correctness is an issue that still plagues state-of-the-...
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11/18/2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...
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12/31/2020
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Natural language (NL) explanations of model predictions are gaining popu...
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12/29/2020
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms
Active learning (AL) algorithms may achieve better performance with fewe...
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10/07/2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Task-oriented semantic parsing is a critical component of virtual assist...
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06/28/2019
Direct Estimation of Difference Between Structural Equation Models in High Dimensions
Discovering cause-effect relationships between variables from observatio...
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06/02/2019
Minimax bounds for structured prediction
Structured prediction can be considered as a generalization of many stan...
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05/21/2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
MAP perturbation models have emerged as a powerful framework for inferen...
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07/15/2017
Learning linear structural equation models in polynomial time and sample complexity
The problem of learning structural equation models (SEMs) from data is a...
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03/03/2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Learning the directed acyclic graph (DAG) structure of a Bayesian networ...
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07/11/2016
From Behavior to Sparse Graphical Games: Efficient Recovery of Equilibria
In this paper we study the problem of exact recovery of the pure-strateg...
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01/27/2016