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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...
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09/20/2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
Named Entity Recognition (NER) aims to extract and classify entity menti...
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09/07/2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
In intent detection tasks, leveraging meaningful semantic information fr...
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09/05/2023
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
Skin lesion segmentation is a fundamental task in dermoscopic image anal...
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08/31/2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Graph Neural Networks (GNNs) have gained significant attention owing to ...
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08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
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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...
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07/30/2023
A Private Watermark for Large Language Models
Recently, text watermarking algorithms for large language models (LLMs) ...
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07/29/2023
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
Position bias, the phenomenon whereby users tend to focus on higher-rank...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/21/2023
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Sequential recommendation (SR) investigates the dynamic user preferences...
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06/10/2023
TALENT: Targeted Mining of Non-overlapping Sequential Patterns
With the widespread application of efficient pattern mining algorithms, ...
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06/06/2023
Machine Unlearning: A Survey
Machine learning has attracted widespread attention and evolved into an ...
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06/03/2023
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection
Rumor spreaders are increasingly utilizing multimedia content to attract...
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06/02/2023
Decentralized Federated Learning: A Survey and Perspective
Federated learning (FL) has been gaining attention for its ability to sh...
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05/26/2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Relation extraction (RE) tasks show promising performance in extracting ...
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05/25/2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Multimodal relation extraction (MRE) is the task of identifying the sema...
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05/25/2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval
Evidence plays a crucial role in automated fact-checking. When verifying...
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05/22/2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Cross-lingual natural language inference is a fundamental problem in cro...
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05/21/2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
The great learning ability of deep learning models facilitates us to com...
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05/12/2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Existing recommender systems face difficulties with zero-shot items, i.e...
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05/12/2023
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Named Entity Recognition (NER) is a well and widely studied task in natu...
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05/05/2023
Contrastive Graph Clustering in Curvature Spaces
Graph clustering is a longstanding research topic, and has achieved rema...
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05/02/2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Relation extraction (RE) aims to extract potential relations according t...
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05/02/2023
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Real-world fact verification task aims to verify the factuality of a cla...
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04/27/2023
Open Metaverse: Issues, Evolution, and Future
With the evolution of content on the web and the Internet, there is a ne...
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04/24/2023
Hierarchical State Abstraction Based on Structural Information Principles
State abstraction optimizes decision-making by ignoring irrelevant envir...
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04/22/2023
Conditional Denoising Diffusion for Sequential Recommendation
Generative models have attracted significant interest due to their abili...
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04/06/2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Graph collaborative filtering (GCF) is a popular technique for capturing...
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04/04/2023
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
DNA motif discovery is an important issue in gene research, which aims t...
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03/23/2023
Web 3.0: The Future of Internet
With the rapid growth of the Internet, human daily life has become deepl...
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03/22/2023
Web3: The Next Internet Revolution
Since the first appearance of the World Wide Web, people more rely on th...
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03/17/2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data l...
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03/07/2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/14/2023
Graph-based Village Level Poverty Identification
Poverty status identification is the first obstacle to eradicating pover...
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02/07/2023
ConsRec: Learning Consensus Behind Interactions for Group Recommendation
Since group activities have become very common in daily life, there is a...
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01/28/2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Self-supervised sequential recommendation significantly improves recomme...
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01/22/2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability
Adversarial training (AT) is widely considered as the most promising str...
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01/10/2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Session-based Recommendation (SBR) is to predict users' next interested ...
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12/30/2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Most Graph Neural Networks follow the message-passing paradigm, assuming...
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12/29/2022
HUSP-SP: Faster Utility Mining on Sequence Data
High-utility sequential pattern mining (HUSPM) has emerged as an importa...
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12/20/2022
Towards Sequence Utility Maximization under Utility Occupancy Measure
The discovery of utility-driven patterns is a useful and difficult resea...
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12/01/2022
Learning to Select from Multiple Options
Many NLP tasks can be regarded as a selection problem from a set of opti...
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11/30/2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Continual graph learning routinely finds its role in a variety of real-w...
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11/28/2022
Internet of Behaviors: A Survey
The Internet of Behavior is a research theme that aims to analyze human ...
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11/18/2022
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Graph Neural Network (GNN) based recommender systems have been attractin...
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11/14/2022
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Knowledge graph (KG) enhanced recommendation has demonstrated improved p...
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11/11/2022
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Information Extraction (IE) aims to extract structured information from ...
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10/28/2022
