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Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning



Yuntao Li , Can Xu , Huang Hu , Lei Sha , Yan Zhang , Daxin Jiang


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Small Changes Make Big Differences: Improving Multi-turn Response Selection \\in Dialogue Systems via Fine-Grained Contrastive Learning



Yuntao Li , Can Xu , Huang Hu , Lei Sha , Yan Zhang , Daxin Jiang


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Rationale production to support clinical decision-making



Niall Taylor , Lei Sha , Dan W Joyce , Thomas Lukasiewicz , Alejo Nevado-Holgado , Andrey Kormilitzin

* Machine Learning for Health (ML4H) - Extended Abstract 

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Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph



Lingzhi Wang , Huang Hu , Lei Sha , Can Xu , Kam-Fai Wong , Daxin Jiang


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Associative Memories via Predictive Coding



Tommaso Salvatori , Yuhang Song , Yujian Hong , Simon Frieder , Lei Sha , Zhenghua Xu , Rafal Bogacz , Thomas Lukasiewicz

* 24 pages, 18 figures 

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Controlling Text Edition by Changing Answers of Specific Questions



Lei Sha , Patrick Hohenecker , Thomas Lukasiewicz

* ACL 2021 findings 

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Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration



Lei Sha , Oana-Maria Camburu , Thomas Lukasiewicz

* Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 

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Multi-type Disentanglement without Adversarial Training



Lei Sha , Thomas Lukasiewicz

* Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021) 

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Table-to-text Generation by Structure-aware Seq2seq Learning



Tianyu Liu , Kexiang Wang , Lei Sha , Baobao Chang , Zhifang Sui

* Accepted by AAAI2018 

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