Rui Meng | DeepAI

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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...

0 Meghana Moorthy Bhat, et al. ∙

∙ 08/24/2023

Exploring the Integration Strategies of Retriever and Large Language Models

The integration of retrieved passages and large language models (LLMs), ...

0 Ye Liu, et al. ∙

∙ 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 ...

0 Jianguo Zhang, et al. ∙

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

∙ 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 ...

1 Ye Liu, et al. ∙

∙ 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...

0 Rui Meng, et al. ∙

∙ 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...

0 Ye Liu, et al. ∙

∙ 08/20/2022

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation

Training keyphrase generation (KPG) models requires a large amount of an...

3 Rui Meng, et al. ∙

∙ 05/21/2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Keyphrase generation is the task of automatically predicting keyphrases ...

0 Yifan Gao, et al. ∙

∙ 05/08/2022

Sparse Gaussian processes for solving nonlinear PDEs

In this article, we propose a numerical method based on sparse Gaussian ...

0 Rui Meng, et al. ∙

∙ 03/03/2022

Compressed Predictive Information Coding

Unsupervised learning plays an important role in many fields, such as ar...

0 Rui Meng, et al. ∙

∙ 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...

0 Rui Meng, et al. ∙

∙ 06/01/2021

Collaborative Nonstationary Multivariate Gaussian Process Model

Currently, multi-output Gaussian process regression models either do not...

0 Rui Meng, et al. ∙

∙ 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...

9 Rui Meng, et al. ∙

∙ 04/18/2021

Unsupervised Deep Keyphrase Generation

Keyphrase generation aims to summarize long documents with a collection ...

0 Xianjie Shen, et al. ∙

∙ 10/01/2020

Predicting User Engagement Status for Online Evaluation of Intelligent Assistants

Evaluation of intelligent assistants in large-scale and online settings ...

0 Rui Meng, et al. ∙

∙ 09/22/2020

An Empirical Study on Neural Keyphrase Generation

Recent years have seen a flourishing of neural keyphrase generation work...

0 Rui Meng, et al. ∙

∙ 08/11/2020

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

Multivariate time series modeling and prediction problems are abundant i...

53 Tryambak Gangopadhyay, et al. ∙

∙ 10/13/2019

Nonstationary Multivariate Gaussian Processes for Electronic Health Records

We propose multivariate nonstationary Gaussian processes for jointly mod...

0 Rui Meng, et al. ∙

∙ 10/13/2019

Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling

Hidden Markov jump processes are an attractive approach for modeling cli...

0 Rui Meng, et al. ∙

∙ 10/13/2019

Regularized Sparse Gaussian Processes

Gaussian processes are a flexible Bayesian nonparametric modelling appro...

0 Rui Meng, et al. ∙

∙ 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...

0 Rui Meng, et al. ∙

∙ 10/26/2018

Integrating Transformer and Paraphrase Rules for Sentence Simplification

Sentence simplification aims to reduce the complexity of a sentence whil...

0 Sanqiang Zhao, et al. ∙

∙ 10/11/2018

Generating Diverse Numbers of Diverse Keyphrases

Existing keyphrase generation studies suffer from the problems of genera...

0 Xingdi Yuan, et al. ∙

∙ 05/16/2017

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing

Knowledge bases (KBs) have attracted increasing attention due to its gre...

0 Rui Meng, et al. ∙

∙ 04/23/2017

Deep Keyphrase Generation

Keyphrase provides highly-summative information that can be effectively ...

0 Rui Meng, et al. ∙

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