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Publication
2023-07-09
Zero-shot Visual Question Answering with Language Model Feedback
Findings of ACL 2023
论文详情
2023-04-30
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
WWW 2023
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2023-04-14
Towards Efficient and Effective Transformers for Sequential Recommendation
DASFAA 2023
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2023-04-08
Enhancing Multi-View Smoothness for Sequential Recommendation Models
TOIS 2023
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2023-03-01
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
ICLR 2023
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2023-02-27
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
WSDM 2023
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2023-01-10
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
TOIS 2022
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2022-12-21
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms
TOIS 2022
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2022-12-07
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
EMNLP 2022
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2022-12-07
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
EMNLP 2022
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2022-12-07
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
EMNLP Demo 2022
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2022-11-28
Privacy-Preserved Neural Graph Similarity Learning
ICDM 2022
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2022-11-23
Complex Knowledge Base Question Answering: A Survey
TKDE
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2022-10-17
Temporal Contrastive Pre-Training for Sequential Recommendation
CIKM 2022
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2022-10-17
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
CIKM 2022 Resource paper
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2022-10-17
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation
CIKM 2022 Applied Research Track
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2022-10-17
Multimodal Meta-Learning for Cold-Start Sequential Recommendation
CIKM 2022 Applied Research Track
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2022-10-12
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation
COLING 2022
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2022-10-12
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
COLING 2022
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2022-09-18
Modeling Two-Way Selection Preference for Person-Job Fit
RecSys 2022
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2022-08-14
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
KDD 2022
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2022-08-14
Towards Universal Sequence Representation Learning for Recommender Systems
KDD 2022
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2022-08-14
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
KDD 2022 Applied Data Science Track
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2022-08-14
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
KDD 2022 Applied Data Science Track
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2022-07-23
A Survey of Vision-Language Pre-Trained Models
IJCAI 2022 Survey Track
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2022-07-11
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
SIGIR 2022
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2022-07-11
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering
SIGIR 2022
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2022-07-11
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator
SIGIR 2022
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2022-07-11
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
SIGIR 2022, Short paper
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2022-07-10
Learning to Transfer Prompts for Text Generation
NAACL 2022
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2022-07-10
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
NAACL 2022
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2022-07-10
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models
Findings of NAACL 2022
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2022-05-22
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network
ACL 2022
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2022-05-22
Debiased Contrastive Learning of Unsupervised Sentence Representations
ACL 2022
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2022-04-28
Neural Graph Matching for Pre-training Graph Neural Networks
SDM 2022
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2022-04-25
Filter-enhanced MLP is All You Need for Sequential Recommendation
WWW 2022
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2022-04-25
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
WWW 2022
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2022-04-11
Leveraging Search History for Improving Person-Job Fit
DASFAA 2022
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2022-02-15
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
WSDM 2022
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2021-11-24
Interpretable Aspect-aware Capsule Network for Peer Review based Citation Count Prediction
TOIS 2021
论文详情
2021-10-30
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation
CIKM 2021 Applied Track
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2021-10-30
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
CIKM 2021 Resource Track
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2021-10-14
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
EMNLP 2021
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2021-10-06
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer
NLPCC 2021
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2021-09-13
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
EMNLP 2021
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2021-09-08
Knowledge-Guided Disentangled Representation Learning for Recommender Systems
TOIS 2021
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2021-08-19
Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks
APWeb-WAIM 2021
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2021-08-14
Debiasing Learning based Cross-domain Recommendation
KDD 2021 Applied Data Science Track
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2021-08-14
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value
KDD 2021 Applied Data Science Track
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2021-08-14
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation
KDD 2021 Applied Data Science Track
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