b'Zhongyu Wei'

research

∙ 09/20/2023

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

We propose DISC-LawLLM, an intelligent legal system utilizing large lang...

0 Shengbin Yue, et al. ∙

research

∙ 08/28/2023

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

We propose DISC-MedLLM, a comprehensive solution that leverages Large La...

0 Zhijie Bao, et al. ∙

research

∙ 07/16/2023

Breaking Down the Task: A Unit-Grained Hybrid Training Framework for Vision and Language Decision Making

Vision language decision making (VLDM) is a challenging multimodal task....

0 Ruipu Luo, et al. ∙

research

∙ 06/27/2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

Adversarial training is one of the best-performing methods in improving ...

0 Songyang Gao, et al. ∙

research

∙ 06/12/2023

Valley: Video Assistant with Large Language model Enhanced abilitY

Recently, several multi-modal models have been developed for joint image...

0 Ruipu Luo, et al. ∙

research

∙ 06/08/2023

Actively Supervised Clustering for Open Relation Extraction

Current clustering-based Open Relation Extraction (OpenRE) methods usual...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Semantic matching is a mainstream paradigm of zero-shot relation extract...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

Open Set Relation Extraction via Unknown-Aware Training

The existing supervised relation extraction methods have achieved impres...

0 Jun Zhao, et al. ∙

research

∙ 05/26/2023

KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition

Symptom diagnosis in medical conversations aims to correctly extract bot...

0 Wei Chen, et al. ∙

research

∙ 05/16/2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Diffusion models have gained significant attention in the realm of image...

0 Tong Wu, et al. ∙

research

∙ 01/21/2023

Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning

Recent knowledge enhanced pre-trained language models have shown remarka...

0 Siyuan Wang, et al. ∙

research

∙ 08/22/2022

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering

Multi-hop reasoning requires aggregating multiple documents to answer a ...

0 Siyuan Wang, et al. ∙

research

∙ 06/11/2022

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training

Multi-modal pre-training and knowledge discovery are two important resea...

0 Zhihao Fan, et al. ∙

research

∙ 05/08/2022

DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations

Diagnosis-oriented dialogue system queries the patient's health conditio...

0 Wei Chen, et al. ∙

research

∙ 04/27/2022

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

Dialog response generation in open domain is an important research topic...

0 Wei Chen, et al. ∙

research

∙ 04/19/2022

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

In recent years, interest has arisen in using machine learning to improv...

16 Wei Chen, et al. ∙

research

∙ 01/29/2022

MVPTR: Multi-Stage Vision-Language Pre-Training via Multi-Level Semantic Alignment

In this paper, we propose a Multi-stage Vision-language Pre-TRaining (MV...

0 Zejun Li, et al. ∙

research

∙ 12/17/2021

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering

Recent years have witnessed impressive advances in challenging multi-hop...

0 Jiayu Ding, et al. ∙

research

∙ 11/14/2021

Curriculum Learning for Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) is a task where an agent navigates ...

5 Jiwen Zhang, et al. ∙

research

∙ 11/05/2021

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval

Matching model is essential for Image-Text Retrieval framework. Existing...

16 Zhihao Fan, et al. ∙

research

∙ 11/03/2021

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training

Aspect-based sentiment analysis aims to identify the sentiment polarity ...

0 Zhengyan Li, et al. ∙

research

∙ 10/01/2021

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System

Recently, textual information has been proved to play a positive role in...

0 Jiabin Liu, et al. ∙

research

∙ 09/24/2021

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations

We study the problem of coarse-grained response selection in retrieval-b...

0 Wei Chen, et al. ∙

research

∙ 09/12/2021

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval

Existing research for image text retrieval mainly relies on sentence-lev...

8 Zhihao Fan, et al. ∙

research

∙ 08/27/2021

A Partition Filter Network for Joint Entity and Relation Extraction

In joint entity and relation extraction, existing work either sequential...

0 Zhiheng Yan, et al. ∙

research

∙ 08/19/2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud

Existing system dealing with online complaint provides a final decision ...

0 Tong Liu, et al. ∙

research

∙ 06/21/2021

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning

Existing research for image captioning usually represents an image using...

0 Zhihao Fan, et al. ∙

research

∙ 05/15/2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process

Reasoning is one of the major challenges of Human-like AI and has recent...

0 Qingxiu Dong, et al. ∙

research

∙ 04/17/2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure

Numerous online conversations are produced on a daily basis, resulting i...

0 Lu Ji, et al. ∙

research

∙ 03/25/2021

Mask Attention Networks: Rethinking and Strengthen Transformer

Transformer is an attention-based neural network, which consists of two ...

0 Zhihao Fan, et al. ∙

research

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

20 Tao Gui, et al. ∙

research

∙ 03/21/2021

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information

In this paper, we focus on the problem of unsupervised image-sentence ma...

0 Zejun Li, et al. ∙

research

∙ 12/01/2020

An Enhanced Knowledge Injection Model for Commonsense Generation

Commonsense generation aims at generating plausible everyday scenario de...

0 Zhihao Fan, et al. ∙

research

∙ 04/29/2020

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning

In this paper, we focus on automatic disease diagnosis with reinforcemen...

0 Kangenbei Liao, et al. ∙

research

∙ 04/29/2020

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

We study the detection of propagandistic text fragments in news articles...

7 Ruize Wang, et al. ∙

research

∙ 04/07/2020

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization

Attention mechanism plays a dominant role in the sequence generation mod...

0 Piji Li, et al. ∙

research

∙ 02/10/2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning

Recently, deep multiagent reinforcement learning (MARL) has become a hig...

0 Yaodong Yang, et al. ∙

research

∙ 02/05/2020

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

We study the problem of injecting knowledge into large pre-trained model...

0 Ruize Wang, et al. ∙

research

∙ 02/04/2020

Variational Template Machine for Data-to-Text Generation

How to generate descriptions from structured data organized in tables? E...

0 Rong Ye, et al. ∙

research

∙ 11/11/2019

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

Visual storytelling aims to generate a narrative paragraph from a sequen...

20 Ruize Wang, et al. ∙

research

∙ 11/08/2019

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

The impressive performance of neural networks on natural language proces...

19 Xisen Jin, et al. ∙

research

∙ 11/05/2019

Discrete Argument Representation Learning for Interactive Argument Pair Identification

In this paper, we focus on extracting interactive argument pairs from tw...

0 Lu Ji, et al. ∙

research

∙ 10/28/2019

Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base

For the task of open domain Knowledge Based Question Answering in CCKS20...

0 Yiying Yang, et al. ∙

research

∙ 09/11/2018

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

Conventional topic models are ineffective for topic extraction from micr...

0 Jing Li, et al. ∙

research

∙ 01/19/2017

A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge

For argumentation mining, there are several sub-tasks such as argumentat...

0 Zhongyu Wei, et al. ∙

Zhongyu Wei

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