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06/20/2023
Generative Retrieval as Dense Retrieval
Generative retrieval is a promising new neural retrieval paradigm that a...
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06/07/2023
Effective Neural Topic Modeling with Embedding Clustering Regularization
Topic models have been prevalent for decades with various applications. ...
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05/29/2023
Adapting Learned Sparse Retrieval for Long Documents
Learned sparse retrieval (LSR) is a family of neural retrieval methods t...
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05/22/2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product rev...
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04/07/2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Cross-lingual topic models have been prevalent for cross-lingual text an...
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03/23/2023
A Unified Framework for Learned Sparse Retrieval
Learned sparse retrieval (LSR) is a family of first-stage retrieval meth...
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11/07/2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
Modern Review Helpfulness Prediction systems are dependent upon multiple...
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07/05/2022
Vision-and-Language Pretraining
With the burgeoning amount of data of image-text pairs and diversity of ...
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04/21/2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
Automated methods have been widely used to identify and analyze mental h...
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12/07/2021
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Current state-of-the-art cross-lingual summarization models employ multi...
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10/25/2021
Contrastive Learning for Neural Topic Model
Recent empirical studies show that adversarial topic models (ATM) can su...
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09/22/2021
Enriching and Controlling Global Semantics for Text Summarization
Recently, Transformer-based models have been proven effective in the abs...
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03/10/2020