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09/05/2023
Robust Recommender System: A Survey and Future Directions
With the rapid growth of information, recommender systems have become in...
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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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08/29/2023
Continual Learning for Generative Retrieval over Dynamic Corpora
Generative retrieval (GR) directly predicts the identifiers of relevant ...
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08/25/2023
Significant-attributed Community Search in Heterogeneous Information Networks
Community search is a personalized community discovery problem aimed at ...
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08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
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08/22/2023
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
First-stage retrieval is a critical task that aims to retrieve relevant ...
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08/19/2023
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method
Neural ranking models (NRMs) and dense retrieval (DR) models have given ...
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08/18/2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
The data-hungry problem, characterized by insufficiency and low-quality ...
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07/29/2023
Fast Searching The Densest Subgraph And Decomposition With Local Optimality
Densest Subgraph Problem (DSP) is an important primitive problem with a ...
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07/21/2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Graph domain adaptation models are widely adopted in cross-network learn...
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07/10/2023
Fairness and Diversity in Recommender Systems: A Survey
Recommender systems are effective tools for mitigating information overl...
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07/07/2023
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction
With an exponential increase in submissions to top-tier Computer Science...
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06/22/2023
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
Recently, we have witnessed generative retrieval increasingly gaining at...
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05/25/2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
The generalization of neural networks is a central challenge in machine ...
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05/25/2023
IDEA: Invariant Causal Defense for Graph Adversarial Robustness
Graph neural networks (GNNs) have achieved remarkable success in various...
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05/24/2023
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Recently, a new paradigm called Differentiable Search Index (DSI) has be...
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05/24/2023
LLMDet: A Large Language Models Detection Tool
With the advancement of generative language models, the generated text h...
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05/22/2023
Semantic Structure Enhanced Event Causality Identification
Event Causality Identification (ECI) aims to identify causal relations b...
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05/22/2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
Multi-aspect controllable text generation aims to generate fluent senten...
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05/18/2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
Language models trained on large-scale corpora can generate remarkably f...
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05/18/2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Dense retrieval has shown promise in the first-stage retrieval process w...
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05/10/2023
Few-shot Link Prediction on N-ary Facts
N-ary facts composed of a primary triple (head entity, relation, tail en...
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05/09/2023
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Recommender systems often suffer from popularity bias, where popular ite...
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05/03/2023
Visual Transformation Telling
In this paper, we propose a new visual reasoning task, called Visual Tra...
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05/02/2023
Visual Reasoning: from State to Transformation
Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an im...
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04/28/2023
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Neural ranking models (NRMs) have attracted considerable attention in in...
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04/28/2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Knowledge-intensive language tasks (KILTs) benefit from retrieving high-...
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04/28/2023
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
With the wide application of Large Language Models (LLMs) such as ChatGP...
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02/16/2023
Graph Adversarial Immunization for Certifiable Robustness
Despite achieving great success, graph neural networks (GNNs) are vulner...
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02/05/2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...
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02/02/2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Graphs consisting of vocal nodes ("the vocal minority") and silent nodes...
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01/31/2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Company financial risk is ubiquitous and early risk assessment for liste...
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01/29/2023
Multi-video Moment Ranking with Multimodal Clue
Video corpus moment retrieval (VCMR) is the task of retrieving a relevan...
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01/10/2023
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
Current natural language understanding (NLU) models have been continuous...
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12/16/2022
Rich Event Modeling for Script Event Prediction
Script is a kind of structured knowledge extracted from texts, which con...
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12/01/2022
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework
Information retrieval aims to find information that meets users' needs f...
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11/20/2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Graph contrastive learning (GCL) emerges as the most representative appr...
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11/09/2022
Visual Named Entity Linking: A New Dataset and A Baseline
Visual Entity Linking (VEL) is a task to link regions of images with the...
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10/28/2022
LegoNet: A Fast and Exact Unlearning Architecture
Machine unlearning aims to erase the impact of specific training samples...
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10/19/2022
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning
Unsupervised representation learning for dynamic graphs has attracted a ...
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10/18/2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...
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09/14/2022
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Neural ranking models (NRMs) have achieved promising results in informat...
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09/12/2022
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Neural ranking models (NRMs) have become one of the most important techn...
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08/21/2022
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Pre-training and fine-tuning have achieved significant advances in the i...
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08/21/2022
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval
Dense retrieval (DR) has shown promising results in information retrieva...
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08/16/2022
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
Knowledge-intensive language tasks (KILT) usually require a large body o...
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08/03/2022
Adversarial Camouflage for Node Injection Attack on Graphs
Node injection attacks against Graph Neural Networks (GNNs) have receive...
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07/04/2022
Learning node embeddings via summary graphs: a brief theoretical analysis
Graph representation learning plays an important role in many graph mini...
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06/27/2022
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Stance detection aims to identify whether the author of a text is in fav...
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05/31/2022