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09/06/2023
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
ChatGPT has gained significant interest due to its impressive performanc...
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08/16/2023
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
In this paper, we systematically study the potential of pre-training wit...
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06/07/2023
ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Dialogue response selection aims to select an appropriate response from ...
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04/25/2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
News recommendation aims to predict click behaviors based on user behavi...
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04/20/2023
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval
Passage retrieval aims to retrieve relevant passages from large collecti...
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04/05/2023
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
Growing techniques have been emerging to improve the performance of pass...
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12/19/2022
Query-as-context Pre-training for Dense Passage Retrieval
This paper presents a pre-training technique called query-as-context tha...
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10/13/2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Video language pre-training methods have mainly adopted sparse sampling ...
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10/08/2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Contrastive learning has been extensively studied in sentence embedding ...
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08/18/2022
Pathway to Future Symbiotic Creativity
This report presents a comprehensive view of our vision on the developme...
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08/16/2022
ConTextual Mask Auto-Encoder for Dense Passage Retrieval
Dense passage retrieval aims to retrieve the relevant passages of a quer...
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07/08/2022
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction
Cancer survival prediction is important for developing personalized trea...
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02/28/2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Before entering the neural network, a token is generally converted to th...
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12/10/2021
DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings
Contrastive learning has been proven suitable for learning sentence embe...
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10/30/2021
TransAug: Translate as Augmentation for Sentence Embeddings
While contrastive learning greatly advances the representation of senten...
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09/09/2021
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Contrastive learning has been attracting much attention for learning uns...
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09/09/2021
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning has been gradually applied to learn high-quality un...
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11/20/2020
Influence of Murder Incident of Ride-hailing Drivers on Ride-hailing User's Consuming Willingness in Nanchang
Due to the frequent murder incidents of ride-hailing drivers in China in...
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05/08/2020
Distilling Knowledge from Pre-trained Language Models via Text Smoothing
This paper studies compressing pre-trained language models, like BERT (D...
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02/22/2020
Data Augmentation for Copy-Mechanism in Dialogue State Tracking
While several state-of-the-art approaches to dialogue state tracking (DS...
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09/05/2019
TransSent: Towards Generation of Structured Sentences with Discourse Marker
This paper focuses on the task of generating long structured sentences w...
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08/21/2019
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
This paper focuses on the task of sentiment transfer on non-parallel tex...
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03/28/2019
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Imbalanced data commonly exists in real world, espacially in sentiment-r...
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12/17/2018
Conditional BERT Contextual Augmentation
We propose a novel data augmentation method for labeled sentences called...
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08/30/2018