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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...
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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...
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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....
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06/27/2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Adversarial training is one of the best-performing methods in improving ...
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06/12/2023
Valley: Video Assistant with Large Language model Enhanced abilitY
Recently, several multi-modal models have been developed for joint image...
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06/08/2023
Actively Supervised Clustering for Open Relation Extraction
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
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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...
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06/08/2023
Open Set Relation Extraction via Unknown-Aware Training
The existing supervised relation extraction methods have achieved impres...
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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...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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01/21/2023
Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning
Recent knowledge enhanced pre-trained language models have shown remarka...
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08/22/2022
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering
Multi-hop reasoning requires aggregating multiple documents to answer a ...
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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...
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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...
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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...
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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...
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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...
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12/17/2021
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
Recent years have witnessed impressive advances in challenging multi-hop...
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11/14/2021
Curriculum Learning for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a task where an agent navigates ...
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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...
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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 ...
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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...
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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...
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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...
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08/27/2021
A Partition Filter Network for Joint Entity and Relation Extraction
In joint entity and relation extraction, existing work either sequential...
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08/19/2021
Fine-Grained Element Identification in Complaint Text of Internet Fraud
Existing system dealing with online complaint provides a final decision ...
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06/21/2021
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Existing research for image captioning usually represents an image using...
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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...
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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...
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03/25/2021
Mask Attention Networks: Rethinking and Strengthen Transformer
Transformer is an attention-based neural network, which consists of two ...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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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...
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12/01/2020
An Enhanced Knowledge Injection Model for Commonsense Generation
Commonsense generation aims at generating plausible everyday scenario de...
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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...
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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...
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04/07/2020
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization
Attention mechanism plays a dominant role in the sequence generation mod...
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02/10/2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Recently, deep multiagent reinforcement learning (MARL) has become a hig...
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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...
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02/04/2020
Variational Template Machine for Data-to-Text Generation
How to generate descriptions from structured data organized in tables? E...
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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...
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11/08/2019
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
The impressive performance of neural networks on natural language proces...
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11/05/2019
Discrete Argument Representation Learning for Interactive Argument Pair Identification
In this paper, we focus on extracting interactive argument pairs from tw...
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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...
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09/11/2018
A Joint Model of Conversational Discourse and Latent Topics on Microblogs
Conventional topic models are ineffective for topic extraction from micr...
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01/19/2017