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09/01/2023
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Dialogue policy learning (DPL) is a crucial component of dialogue modell...
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05/22/2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
Generating persona consistent dialogue response is important for develop...
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05/19/2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Large Language Model (LLM) has gained popularity and achieved remarkable...
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11/26/2021
Testability-Aware Low Power Controller Design with Evolutionary Learning
XORNet-based low power controller is a popular technique to reduce circu...
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11/02/2021
Integrating Pretrained Language Model for Dialogue Policy Learning
Reinforcement Learning (RL) has been witnessed its potential for trainin...
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09/11/2021
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning
Few-shot slot tagging is an emerging research topic in the field of Natu...
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08/26/2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Meta-learning is widely used for few-shot slot tagging in the task of fe...
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07/26/2021
A Real Time Monitoring Approach for Bivariate Event Data
Early detection of changes in the frequency of events is an important ta...
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07/20/2021
A plane wave method based on approximate wave directions for two dimensional Helmholtz equations with large wave numbers
In this paper we present and analyse a high accuracy method for computin...
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01/23/2021
A Change-Point Based Control Chart for Detecting Sparse Changes in High-Dimensional Heteroscedastic Data
Because of the curse-of-dimensionality, high-dimensional processes prese...
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12/28/2020
A geometric optics ansatz-based plane wave method for two dimensional Helmholtz equations with variable wave numbers
In this paper we develop a plane wave type method for discretization of ...
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12/20/2019