b'Ye Liu'

research

∙ 09/20/2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

Question answering on tabular data (a.k.a TableQA), which aims at genera...

0 Wenting Zhao, et al. ∙

research

∙ 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. ∙

research

∙ 09/15/2023

FedJudge: Federated Legal Large Language Model

Large Language Models (LLMs) have gained prominence in the field of Lega...

0 Linan Yue, et al. ∙

research

∙ 08/24/2023

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

The multimedia community has shown a significant interest in perceiving ...

0 Fei Wang, et al. ∙

research

∙ 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. ∙

research

∙ 08/23/2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation

Studies on semi-supervised medical image segmentation (SSMIS) have seen ...

0 Zhen Zhao, et al. ∙

research

∙ 08/09/2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning

Recent advanced methods in Natural Language Understanding for Task-orien...

0 Hoang H. Nguyen, et al. ∙

research

∙ 08/06/2023

System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator

In this work, we study dialogue scenarios that start from chit-chat but ...

0 Ye Liu, et al. ∙

research

∙ 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. ∙

research

∙ 07/13/2023

Choice Models and Permutation Invariance

Choice Modeling is at the core of many economics, operations, and market...

0 Amandeep Singh, et al. ∙

research

∙ 07/04/2023

Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues

Spoken dialogue systems (SDSs) have been separately developed under two ...

0 Ye Liu, et al. ∙

research

∙ 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. ∙

research

∙ 04/18/2023

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Over the past few decades, multimodal emotion recognition has made remar...

0 Zheng Lian, et al. ∙

research

∙ 04/09/2023

Timestamps as Prompts for Geography-Aware Location Recommendation

Location recommendation plays a vital role in improving users' travel ex...

0 Yan Luo, et al. ∙

research

∙ 03/22/2023

End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling

Predicting the next location is a highly valuable and common need in man...

0 Yan Luo, et al. ∙

research

∙ 03/18/2023

Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach

Just noticeable difference (JND) refers to the maximum visual change tha...

0 Wuyuan Xie, et al. ∙

research

∙ 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. ∙

research

∙ 11/14/2022

Grafting Pre-trained Models for Multimodal Headline Generation

Multimodal headline utilizes both video frames and transcripts to genera...

7 Lingfeng Qiao, et al. ∙

research

∙ 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. ∙

research

∙ 11/09/2022

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document

In the scenario of unsupervised extractive summarization, learning high-...

0 Chen Lin, et al. ∙

research

∙ 09/29/2022

ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation

The pre-trained conversational models still fail to capture the implicit...

0 Ye Liu, et al. ∙

research

∙ 07/04/2022

OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification

Scene segmentation and classification (SSC) serve as a critical step tow...

0 Ye Liu, et al. ∙

research

∙ 06/06/2022

Contrastive Graph Multimodal Model for Text Classification in Videos

The extraction of text information in videos serves as a critical step t...

0 Ye Liu, et al. ∙

research

∙ 03/23/2022

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Finding relevant moments and highlights in videos according to natural l...

0 Ye Liu, et al. ∙

research

∙ 03/10/2022

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

Defense models against adversarial attacks have grown significantly, but...

0 Ye Liu, et al. ∙

research

∙ 03/08/2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

Massive open online courses (MOOCs), which provide a large-scale interac...

0 Jibing Gong, et al. ∙

research

∙ 03/01/2022

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots

Few-shot table-to-text generation is a task of composing fluent and fait...

1 Wenting Zhao, et al. ∙

research

∙ 11/28/2021

Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems

This work combines information about the dialogue history encoded by pre...

0 Ye Liu, et al. ∙

research

∙ 11/23/2021

Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation

Annotating microscopy images for nuclei segmentation is laborious and ti...

0 Ye Liu, et al. ∙

research

∙ 11/22/2021

CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images

The task of instance segmentation in remote sensing images, aiming at pe...

23 Ye Liu, et al. ∙

research

∙ 11/06/2021

A Probit Tensor Factorization Model For Relational Learning

With the proliferation of knowledge graphs, modeling data with complex m...

0 Ye Liu, et al. ∙

research

∙ 10/28/2021

Dense Hierarchical Retrieval for Open-Domain Question Answering

Dense neural text retrieval has achieved promising results on open-domai...

0 Ye Liu, et al. ∙

research

∙ 10/15/2021

Adversarial Attacks on ML Defense Models Competition

Due to the vulnerability of deep neural networks (DNNs) to adversarial e...

0 Yinpeng Dong, et al. ∙

research

∙ 10/12/2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization

To capture the semantic graph structure from raw text, most existing sum...

0 Ye Liu, et al. ∙

research

∙ 09/07/2021

Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge

One challenge for dialogue agents is to recognize feelings of the conver...

0 Ye Liu, et al. ∙

research

∙ 09/07/2021

Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT

This paper presents an automatic method to evaluate the naturalness of n...

0 Ye Liu, et al. ∙

research

∙ 08/06/2021

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Single image dehazing is a challenging task, for which the domain shift ...

15 Ye Liu, et al. ∙

research

∙ 06/08/2021

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

Pretrained Transformer-based models were reported to be robust in intent...

19 Jian-Guo Zhang, et al. ∙

research

∙ 01/22/2021

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation

The non-autoregressive models have boosted the efficiency of neural mach...

0 Ye Liu, et al. ∙

research

∙ 10/19/2020

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Open attribute value extraction for emerging entities is an important bu...

0 Ye Liu, et al. ∙

research

∙ 09/26/2020

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Generative commonsense reasoning which aims to empower machines to gener...

0 Ye Liu, et al. ∙

research

∙ 08/14/2020

ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

We consider the problem of Human-Object Interaction (HOI) Detection, whi...

0 Ye Liu, et al. ∙

research

∙ 08/06/2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Healthcare question answering assistance aims to provide customer health...

15 Ye Liu, et al. ∙

research

∙ 05/28/2020

The Impact of the Physical Layer on the Performance of Concurrent Transmissions

The popularity of concurrent transmissions (CT) has soared after recent ...

0 Michael Baddeley, et al. ∙

research

∙ 05/11/2020

Commonsense Evidence Generation and Injection in Reading Comprehension

Human tackle reading comprehension not only based on the given context i...

1 Ye Liu, et al. ∙

research

∙ 02/05/2020

Fine-Grained Urban Flow Inference

The ubiquitous deployment of monitoring devices in urban flow monitoring...

12 Kun Ouyang, et al. ∙

research

∙ 12/31/2019

Bas-relief Generation from Point Clouds Based on Normal Space Compression with Real-time Adjustment on CPU

Bas-relief generation based on 3d models is a hot topic in computer grap...

0 Jianhui Nie, et al. ∙

research

∙ 10/21/2019

Orthogonal Nonnegative Tucker Decomposition

In this paper, we study the nonnegative tensor data and propose an ortho...

0 Junjun Pan, et al. ∙

research

∙ 10/11/2019

Point cloud ridge-valley feature enhancement based on position and normal guidance

Ridge-valley features are important elements of point clouds, as they co...

0 Jianhui Nie, et al. ∙

research

∙ 08/13/2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

In real-world question-answering (QA) systems, ill-formed questions, suc...

6 Ye Liu, et al. ∙

Ye Liu

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