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09/15/2023
Investigating Answerability of LLMs for Long-Form Question Answering
As we embark on a new era of LLMs, it becomes increasingly crucial to un...
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08/24/2023
Exploring the Integration Strategies of Retriever and Large Language Models
The integration of retrieved passages and large language models (LLMs), ...
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08/16/2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
End-to-end task-oriented dialogue (TOD) systems have achieved promising ...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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05/12/2023
Answering Complex Questions over Text by Hybrid Question Parsing and Execution
The dominant paradigm of textual question answering systems is based on ...
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12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
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11/09/2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
Parsing natural language questions into executable logical forms is a us...
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08/20/2022
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
Training keyphrase generation (KPG) models requires a large amount of an...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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05/08/2022
Sparse Gaussian processes for solving nonlinear PDEs
In this article, we propose a numerical method based on sparse Gaussian ...
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03/03/2022
Compressed Predictive Information Coding
Unsupervised learning plays an important role in many fields, such as ar...
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06/25/2021
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model
Many modern time-series datasets contain large numbers of output respons...
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06/01/2021
Collaborative Nonstationary Multivariate Gaussian Process Model
Currently, multi-output Gaussian process regression models either do not...
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05/31/2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Faceted summarization provides briefings of a document from different pe...
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04/18/2021
Unsupervised Deep Keyphrase Generation
Keyphrase generation aims to summarize long documents with a collection ...
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10/01/2020
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
Evaluation of intelligent assistants in large-scale and online settings ...
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09/22/2020
An Empirical Study on Neural Keyphrase Generation
Recent years have seen a flourishing of neural keyphrase generation work...
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08/11/2020
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Multivariate time series modeling and prediction problems are abundant i...
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10/13/2019
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
We propose multivariate nonstationary Gaussian processes for jointly mod...
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10/13/2019
Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling
Hidden Markov jump processes are an attractive approach for modeling cli...
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10/13/2019
Regularized Sparse Gaussian Processes
Gaussian processes are a flexible Bayesian nonparametric modelling appro...
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09/09/2019
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
Recently, concatenating multiple keyphrases as a target sequence has bee...
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10/26/2018
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Sentence simplification aims to reduce the complexity of a sentence whil...
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10/11/2018
Generating Diverse Numbers of Diverse Keyphrases
Existing keyphrase generation studies suffer from the problems of genera...
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05/16/2017
Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing
Knowledge bases (KBs) have attracted increasing attention due to its gre...
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04/23/2017