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Publication
2022-07-10
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
NAACL 2022
论文详情
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
论文详情
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
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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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2021-08-14
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data
KDD 2021
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2021-08-13
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
Findings of ACL 2021
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2021-07-11
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
SIGIR 2021
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2021-07-11
Knowledge-based Review Generation by Coherence Enhanced Text Planning
SIGIR 2021
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2021-06-04
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
ACL 2021
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2021-06-03
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
Findings of ACL 2021
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2021-06-03
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
WWW 2021
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2021-05-25
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
IJCAI 2021 Survey Track
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2021-05-21
Pretrained Language Model for Text Generation: A Survey
IJCAI 2021 Survey Track
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2021-05-18
Dual Sparse Attention Network for Session-Based Recommendation
AAAI 2021
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2021-05-12
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
NAACL 2021
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2021-03-24
Personalized Route Recommendation with Neural Network Enhanced A∗ Search Algorithm
IEEE TKDE 2021
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2021-03-08
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
WSDM
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2021-01-06
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
ACL Demo 2021
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2021-01-04
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
ACL Demo 2021
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2020-10-19
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
CIKM
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2020-10-19
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
CIKM
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2020-10-19
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
CIKM
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2020-10-19
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
CIKM
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2020-10-19
Leveraging Historical Interaction Data for Improving Conversational Recommender System
CIKM
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2020-10-08
Towards Topic-Guided Conversational Recommender System
COLING
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2020-08-20
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
KDD
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2020-08-20
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
KDD
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2020-07-25
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
SIGIR
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2020-07-25
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
SIGIR
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2020-05-06
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
PAKDD
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2020-04-20
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
WWW
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2020-03-07
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale
ACM Trans. Inf. Syst.
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2019-11-03
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation
CIKM
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2019-11-01
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network
EMNLP
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