b'Bang Liu'

research

∙ 09/16/2023

Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models

We employ a tool-interacting divide-and-conquer strategy enabling large ...

0 Hossein Rajabzadeh, et al. ∙

research

∙ 05/14/2023

MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling

We present MatSci-NLP, a natural language benchmark for evaluating the p...

0 Yu Song, et al. ∙

research

∙ 05/08/2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment

We present : a question generation framework with controllable comprehen...

0 Xiaoqiang Wang, et al. ∙

research

∙ 10/09/2022

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

Providing Emotional Support (ES) to soothe people in emotional distress ...

0 Yi Cheng, et al. ∙

research

∙ 08/20/2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network

Deploying deep neural networks on low-resource edge devices is challengi...

0 Xinlin Li, et al. ∙

research

∙ 05/17/2022

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning

Math Word Problems (MWP) is an important task that requires the ability ...

0 Ailisi Li, et al. ∙

research

∙ 05/13/2022

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

Systematicity, i.e., the ability to recombine known parts and rules to f...

0 Shengyao Lu, et al. ∙

research

∙ 04/29/2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance

Existing metrics for assessing question generation not only require cost...

4 Xiaoqiang Wang, et al. ∙

research

∙ 03/28/2022

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision

Taxonomies have been widely used in various domains to underpin numerous...

0 Sijie Cheng, et al. ∙

research

∙ 03/17/2022

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

Knowledge-based visual question answering requires the ability of associ...

0 Yang Ding, et al. ∙

research

∙ 03/05/2022

Feeding What You Need by Understanding What You Learned

Machine Reading Comprehension (MRC) reveals the ability to understand a ...

2 Xiaoqiang Wang, et al. ∙

research

∙ 02/28/2022

Deep learning enhanced Rydberg multifrequency microwave recognition

Recognition of multifrequency microwave (MW) electric fields is challeng...

11 Zong-Kai Liu, et al. ∙

research

∙ 01/13/2022

Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation

Interpreting the predictions of existing Question Answering (QA) models ...

0 Yuyan Chen, et al. ∙

research

∙ 01/10/2022

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning

The progress made in code modeling has been tremendous in recent years t...

0 Martin Weyssow, et al. ∙

research

∙ 10/13/2021

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Although conceptualization has been widely studied in semantics and know...

0 Jiuding Yang, et al. ∙

research

∙ 10/12/2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

Recent years have witnessed the dramatic growth of paper volumes with pl...

0 Jiayuan Ding, et al. ∙

research

∙ 09/07/2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization

Existing unsupervised document hashing methods are mostly established on...

0 Zijing Ou, et al. ∙

research

∙ 07/07/2021

S^3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks

Shift neural networks reduce computation complexity by removing expensiv...

0 Xinlin Li, et al. ∙

research

∙ 06/07/2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...

0 Zhexue Chen, et al. ∙

research

∙ 06/06/2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation

Automatic microblog hashtag generation can help us better and faster und...

0 Qianren Mao, et al. ∙

research

∙ 06/04/2021

Encoder-Decoder Neural Architecture Optimization for Keyword Spotting

Keyword spotting aims to identify specific keyword audio utterances. In ...

0 Tong Mo, et al. ∙

research

∙ 05/28/2021

Noised Consistency Training for Text Summarization

Neural abstractive summarization methods often require large quantities ...

0 Junnan Liu, et al. ∙

research

∙ 05/27/2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval

With the need of fast retrieval speed and small memory footprint, docume...

0 Zijing Ou, et al. ∙

research

∙ 05/25/2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

This paper explores the task of Difficulty-Controllable Question Generat...

0 Yi Cheng, et al. ∙

research

∙ 04/10/2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

For task-oriented dialog systems, training a Reinforcement Learning (RL)...

0 Zhengxu Hou, et al. ∙

research

∙ 01/27/2021

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

Taxonomy is a hierarchically structured knowledge graph that plays a cru...

0 Suyuchen Wang, et al. ∙

research

∙ 10/27/2020

QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications

Query-based document summarization aims to extract or generate a summary...

0 Mingjun Zhao, et al. ∙

research

∙ 04/05/2020

GIANT: Scalable Creation of a Web-scale Ontology

Understanding what online users may pay attention to is key to content r...

0 Bang Liu, et al. ∙

research

∙ 01/27/2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus

The ability to ask questions is important in both human and machine inte...

0 Bang Liu, et al. ∙

research

∙ 05/21/2019

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Concepts embody the knowledge of the world and facilitate the cognitive ...

0 Bang Liu, et al. ∙

research

∙ 02/27/2019

Multiresolution Graph Attention Networks for Relevance Matching

A large number of deep learning models have been proposed for the text m...

0 Ting Zhang, et al. ∙

research

∙ 02/27/2019

Learning to Generate Questions by Learning What not to Generate

Automatic question generation is an important technique that can improve...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis

Online real-estate information systems such as Zillow and Trulia have ga...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

Recover Fine-Grained Spatial Data from Coarse Aggregation

In this paper, we study a new type of spatial sparse recovery problem, t...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

Growing Story Forest Online from Massive Breaking News

We describe our experience of implementing a news content organization s...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization

Semantic matching of natural language sentences or identifying the relat...

0 Bang Liu, et al. ∙

research

∙ 02/21/2018

Matching Long Text Documents via Graph Convolutional Networks

Identifying the relationship between two text objects is a core research...

0 Bang Liu, et al. ∙

Bang Liu

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