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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...
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09/12/2023
Do PLMs Know and Understand Ontological Knowledge?
Ontological knowledge, which comprises classes and properties and their ...
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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...
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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...
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07/28/2023
Improving Social Media Popularity Prediction with Multiple Post Dependencies
Social Media Popularity Prediction has drawn a lot of attention because ...
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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...
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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...
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06/09/2023
Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning
The standard definition generation task requires to automatically produc...
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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...
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04/10/2023
Investigating Graph Structure Information for Entity Alignment with Dangling Cases
Entity alignment (EA) aims to discover the equivalent entities in differ...
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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 ...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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02/08/2023
COMBO: A Complete Benchmark for Open KG Canonicalization
Open knowledge graph (KG) consists of (subject, relation, object) triple...
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02/01/2023
BackdoorBox: A Python Toolbox for Backdoor Learning
Third-party resources (e.g., samples, backbones, and pre-trained models)...
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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...
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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....
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12/03/2022
Named Entity and Relation Extraction with Multi-Modal Retrieval
Multi-modal named entity recognition (NER) and relation extraction (RE) ...
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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...
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11/02/2022
Untargeted Backdoor Attack against Object Detection
Recent studies revealed that deep neural networks (DNNs) are exposed to ...
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11/02/2022
BATT: Backdoor Attack with Transformation-based Triggers
Deep neural networks (DNNs) are vulnerable to backdoor attacks. The back...
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11/02/2022
Backdoor Defense via Suppressing Model Shortcuts
Recent studies have demonstrated that deep neural networks (DNNs) are vu...
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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...
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09/27/2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Deep neural networks (DNNs) have demonstrated their superiority in pract...
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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 ...
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08/27/2022
Domain-Specific NER via Retrieving Correlated Samples
Successful Machine Learning based Named Entity Recognition models could ...
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08/04/2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Currently, deep neural networks (DNNs) are widely adopted in different a...
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03/27/2022
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Face forgery has attracted increasing attention in recent applications o...
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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 ...
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02/08/2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
In spite of the tremendous development of recommender system owing to th...
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01/31/2022
Few-Shot Backdoor Attacks on Visual Object Tracking
Visual object tracking (VOT) has been widely adopted in mission-critical...
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12/13/2021
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
Recently, Multi-modal Named Entity Recognition (MNER) has attracted a lo...
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12/07/2021
Defending against Model Stealing via Verifying Embedded External Features
Obtaining a well-trained model involves expensive data collection and tr...
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11/25/2021
Clustering Effect of (Linearized) Adversarial Robust Models
Adversarial robustness has received increasing attention along with the ...
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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 ...
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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...
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09/27/2021
Towards "Zero-buffer" Datacenter Networks
In this paper, we investigate the possibility of building a data center ...
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09/13/2021
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
Entity retrieval, which aims at disambiguating mentions to canonical ent...
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08/09/2021
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System
In the current deep learning based recommendation system, the embedding ...
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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...
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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...
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07/06/2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
This paper describes the system used in submission from SHANGHAITECH tea...
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06/02/2021
Towards Emotional Support Dialog Systems
Emotional support is a crucial ability for many conversation scenarios, ...
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05/30/2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Neural dialogue generation models trained with the one-hot target distri...
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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...
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04/06/2021
Backdoor Attack in the Physical World
Backdoor attack intends to inject hidden backdoor into the deep neural n...
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03/11/2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
The study of adversarial examples and their activation has attracted sig...
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03/07/2021
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
The optimization problems associated with training generative adversaria...
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03/06/2021
Hidden Backdoor Attack against Semantic Segmentation Models
Deep neural networks (DNNs) are vulnerable to the backdoor attack, which...
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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...
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12/03/2020