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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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08/05/2021
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
We analyze the tradeoff between factuality and abstractiveness of summar...
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05/10/2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
A commonly observed problem with the state-of-the art abstractive summar...
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04/27/2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
The records of a clinical encounter can be extensive and complex, thus p...
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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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02/18/2021
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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11/26/2020
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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10/12/2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
We propose an end-to-end approach for synthetic QA data generation. Our ...
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11/25/2019
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
Conversation structure is useful for both understanding the nature of co...
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07/24/2019
Topic Modeling with Wasserstein Autoencoders
We propose a novel neural topic model in the Wasserstein autoencoders (W...
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05/31/2017
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget
Deep neural network (DNN) based approaches hold significant potential fo...
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05/26/2017
Adaptive Classification for Prediction Under a Budget
We propose a novel adaptive approximation approach for test-time resourc...
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05/10/2017
Comments on the proof of adaptive submodular function minimization
We point out an issue with Theorem 5 appearing in "Group-based active qu...
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04/25/2017
Dynamic Model Selection for Prediction Under a Budget
We present a dynamic model selection approach for resource-constrained p...
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06/16/2016
Pruning Random Forests for Prediction on a Budget
We propose to prune a random forest (RF) for resource-constrained predic...
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01/05/2016
Optimally Pruning Decision Tree Ensembles With Feature Cost
We consider the problem of learning decision rules for prediction with f...
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02/20/2015