b'Yong Jiang'

research

∙ 09/20/2023

WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting

Recent CNN and Transformer-based models tried to utilize frequency and p...

0 Peiyuan Liu, et al. ∙

research

∙ 09/12/2023

Do PLMs Know and Understand Ontological Knowledge?

Ontological knowledge, which comprises classes and properties and their ...

0 Weiqi Wu, et al. ∙

research

∙ 08/21/2023

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Large language models (LLMs) have shown impressive ability for open-doma...

0 Tianyu Yu, et al. ∙

research

∙ 08/14/2023

EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce

Recently, instruction-following Large Language Models (LLMs) , represent...

0 Yangning Li, et al. ∙

research

∙ 07/28/2023

Improving Social Media Popularity Prediction with Multiple Post Dependencies

Social Media Popularity Prediction has drawn a lot of attention because ...

0 Zhizhen Zhang, et al. ∙

research

∙ 07/18/2023

On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Recently, the development and progress of Large Language Models (LLMs) h...

0 Yinghui Li, et al. ∙

research

∙ 06/21/2023

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking

Entity Linking (EL) is a fundamental task for Information Extraction and...

0 Yinghui Li, et al. ∙

research

∙ 06/09/2023

Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning

The standard definition generation task requires to automatically produc...

0 Hengyuan Zhang, et al. ∙

research

∙ 05/05/2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition

The MultiCoNER 2 shared task aims to tackle multilingual named entity re...

0 Zeqi Tan, et al. ∙

research

∙ 04/10/2023

Investigating Graph Structure Information for Entity Alignment with Dangling Cases

Entity alignment (EA) aims to discover the equivalent entities in differ...

0 Jin Xu, et al. ∙

research

∙ 04/07/2023

From Retrieval to Generation: Efficient and Effective Entity Set Expansion

Entity Set Expansion (ESE) is a critical task aiming to expand entities ...

0 Shulin Huang, et al. ∙

research

∙ 02/20/2023

Zero-Shot Information Extraction via Chatting with ChatGPT

Zero-shot information extraction (IE) aims to build IE systems from the ...

0 Xiang Wei, et al. ∙

research

∙ 02/08/2023

COMBO: A Complete Benchmark for Open KG Canonicalization

Open knowledge graph (KG) consists of (subject, relation, object) triple...

0 Chengyue Jiang, et al. ∙

research

∙ 02/01/2023

BackdoorBox: A Python Toolbox for Backdoor Learning

Third-party resources (e.g., samples, backbones, and pre-trained models)...

0 Yiming Li, et al. ∙

research

∙ 01/25/2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

Cross-domain NER is a challenging task to address the low-resource probl...

0 Xiang Chen, et al. ∙

research

∙ 12/18/2022

Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing

Ultra-fine entity typing (UFET) predicts extremely free-formed types (e....

0 Chengyue Jiang, et al. ∙

research

∙ 12/03/2022

Named Entity and Relation Extraction with Multi-Modal Retrieval

Multi-modal named entity recognition (NER) and relation extraction (RE) ...

0 Xinyu Wang, et al. ∙

research

∙ 12/03/2022

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field

Ultra-fine entity typing (UFET) aims to predict a wide range of type phr...

0 Chengyue Jiang, et al. ∙

research

∙ 11/02/2022

Untargeted Backdoor Attack against Object Detection

Recent studies revealed that deep neural networks (DNNs) are exposed to ...

0 Chengxiao Luo, et al. ∙

research

∙ 11/02/2022

BATT: Backdoor Attack with Transformation-based Triggers

Deep neural networks (DNNs) are vulnerable to backdoor attacks. The back...

0 Tong Xu, et al. ∙

research

∙ 11/02/2022

Backdoor Defense via Suppressing Model Shortcuts

Recent studies have demonstrated that deep neural networks (DNNs) are vu...

0 Sheng Yang, et al. ∙

research

∙ 10/19/2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks

Data augmentation techniques have been used to improve the generalizatio...

0 Xuming Hu, et al. ∙

research

∙ 09/27/2022

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection

Deep neural networks (DNNs) have demonstrated their superiority in pract...

0 Yiming Li, et al. ∙

research

∙ 09/27/2022

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking

Speech Entity Linking aims to recognize and disambiguate named entities ...

0 Shen Huang, et al. ∙

research

∙ 08/27/2022

Domain-Specific NER via Retrieving Correlated Samples

Successful Machine Learning based Named Entity Recognition models could ...

0 Xin Zhang, et al. ∙

research

∙ 08/04/2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features

Currently, deep neural networks (DNNs) are widely adopted in different a...

0 Yiming Li, et al. ∙

research

∙ 03/27/2022

Adaptive Frequency Learning in Two-branch Face Forgery Detection

Face forgery has attracted increasing attention in recent applications o...

0 Neng Wang, et al. ∙

research

∙ 03/01/2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition

The MultiCoNER shared task aims at detecting semantically ambiguous and ...

0 Xinyu Wang, et al. ∙

research

∙ 02/08/2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation

In spite of the tremendous development of recommender system owing to th...

0 Yue He, et al. ∙

research

∙ 01/31/2022

Few-Shot Backdoor Attacks on Visual Object Tracking

Visual object tracking (VOT) has been widely adopted in mission-critical...

0 Yiming Li, et al. ∙

research

∙ 12/13/2021

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

Recently, Multi-modal Named Entity Recognition (MNER) has attracted a lo...

6 Xinyu Wang, et al. ∙

research

∙ 12/07/2021

Defending against Model Stealing via Verifying Embedded External Features

Obtaining a well-trained model involves expensive data collection and tr...

0 Yiming Li, et al. ∙

research

∙ 11/25/2021

Clustering Effect of (Linearized) Adversarial Robust Models

Adversarial robustness has received increasing attention along with the ...

0 Yang Bai, et al. ∙

research

∙ 10/13/2021

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments

Semantic role labeling is a fundamental yet challenging task in the NLP ...

0 Yu Zhang, et al. ∙

research

∙ 10/08/2021

Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation

With the increase in the number of image data and the lack of correspond...

0 Ke Zhang, et al. ∙

research

∙ 09/27/2021

Towards "Zero-buffer" Datacenter Networks

In this paper, we investigate the possibility of building a data center ...

0 Mowei Wang, et al. ∙

research

∙ 09/13/2021

MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations

Entity retrieval, which aims at disambiguating mentions to canonical ent...

11 Xinyin Ma, et al. ∙

research

∙ 08/09/2021

DGEM: A New Dual-modal Graph Embedding Method in Recommendation System

In the current deep learning based recommendation system, the embedding ...

0 Huimin Zhou, et al. ∙

research

∙ 07/19/2021

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization

The increasingly complicated and diverse applications have distinct netw...

0 Lei Zhang, et al. ∙

research

∙ 07/07/2021

WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations

Compared with tedious per-pixel mask annotating, it is much easier to an...

0 Peidong Liu, et al. ∙

research

∙ 07/06/2021

Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings

This paper describes the system used in submission from SHANGHAITECH tea...

0 Xinyu Wang, et al. ∙

research

∙ 06/02/2021

Towards Emotional Support Dialog Systems

Emotional support is a crucial ability for many conversation scenarios, ...

0 Siyang Liu, et al. ∙

research

∙ 05/30/2021

Diversifying Dialog Generation via Adaptive Label Smoothing

Neural dialogue generation models trained with the one-hot target distri...

0 Yida Wang, et al. ∙

research

∙ 05/08/2021

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

Recent advances in Named Entity Recognition (NER) show that document-lev...

12 Xinyu Wang, et al. ∙

research

∙ 04/06/2021

Backdoor Attack in the Physical World

Backdoor attack intends to inject hidden backdoor into the deep neural n...

0 Yiming Li, et al. ∙

research

∙ 03/11/2021

Improving Adversarial Robustness via Channel-wise Activation Suppressing

The study of adversarial examples and their activation has attracted sig...

0 Yang Bai, et al. ∙

research

∙ 03/07/2021

Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities

The optimization problems associated with training generative adversaria...

0 Chaobing Song, et al. ∙

research

∙ 03/06/2021

Hidden Backdoor Attack against Semantic Segmentation Models

Deep neural networks (DNNs) are vulnerable to the backdoor attack, which...

0 Yiming Li, et al. ∙

research

∙ 02/09/2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search

Designing proper loss functions for vision tasks has been a long-standin...

0 Peidong Liu, et al. ∙

research

∙ 12/03/2020

FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques

It is extensively studied that Deep Neural Networks (DNNs) are vulnerabl...

0 Han Qiu, et al. ∙

Yong Jiang

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