T-Mask: An Active and Accurate Dialogue State Tracking with Token Mask Prediction

Author(s):  
Shezheng Song ◽  
Changjian Wang ◽  
Dongsong Zhang ◽  
Zhen Huang ◽  
Yuxing Peng
Keyword(s):  
2018 ◽  
Author(s):  
Juan Sanz García ◽  
Martial Boggio-Pasqua ◽  
Ilaria Ciofini ◽  
Marco Campetella

<div>The ability to locate minima on electronic excited states (ESs) potential energy surfaces (PESs) both in the case of bright and dark states is crucial for a full understanding of photochemical reactions. This task has become a standard practice for small- to medium-sized organic chromophores thanks to the constant developments in the field of computational photochemistry. However, this remains a very challenging effort when it comes to the optimization of ESs of transition metal complexes (TMCs), not only due to the presence of several electronic excited states close in energy, but also due to the complex nature of the excited states involved. In this article, we present a simple yet powerful method to follow an excited state of interest during a structural optimization in the case of TMC, based on the use of a compact hole-particle representation of the electronic transition, namely the natural transition orbitals (NTOs). State tracking using NTOs is unambiguously accomplished by computing the mono-electronic wavefunction overlap between consecutive steps of the optimization. Here, we demonstrate that this simple but robust procedure works not only in the case of the cytosine but also in the case of the ES optimization of a ruthenium-nitrosyl complex which is very problematic with standard approaches.</div>


Author(s):  
Fanghua Ye ◽  
Jarana Manotumruksa ◽  
Qiang Zhang ◽  
Shenghui Li ◽  
Emine Yilmaz
Keyword(s):  

Author(s):  
Rudolf Kadlec ◽  
Miroslav Vodolan ◽  
Jindrich Libovicky ◽  
Jan Macek ◽  
Jan Kleindienst

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Paul Kröger ◽  
Martin Fränzle

Abstract Hybrid system dynamics arises when discrete actions meet continuous behaviour due to physical processes and continuous control. A natural domain of such systems are emerging smart technologies which add elements of intelligence, co-operation, and adaptivity to physical entities. Various flavours of hybrid automata have been suggested as a means to formally analyse dynamics of such systems. In this article, we present our current work on a revised formal model that is able to represent state tracking and estimation in hybrid systems and thereby enhancing precision of verification verdicts.


2021 ◽  
pp. 1-12
Author(s):  
Ting Wang ◽  
Xinghong Li ◽  
Heng Wang ◽  
Bo Deng

Author(s):  
Seokhwan Kim ◽  
Luis Fernando D’Haro ◽  
Rafael E. Banchs ◽  
Jason D. Williams ◽  
Matthew Henderson

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