TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization

no code implementations • Findings (NAACL) 2022 • Ze Yang, Liran Wang, Zhoujin Tian, Wei Wu, Zhoujun Li

Another is that applying the existing pre-trained models to this task is tricky because of the structural dependence within the conversation and its informal expression, etc.

Revisiting the phase diagram of LaFe$_{1-x}$Co$_x$AsO on single crystals by thermodynamic methods

no code implementations • 14 Jan 2021 • Francesco Scaravaggi, Sven Sauerland, Liran Wang, Rhea Kappenberger, Piotr Lepucki, Adam P. Dioguardi, Xiaochen Hong, Federico Caglieris, Christoph Wuttke, Christian Hess, Hans-Joachim Grafe, Saicharan Aswartham, Sabine Wurmehl, Rüdiger Klingeler, Anja U. B. Wolter, Bernd Büchner

In this work we revisit the phase diagram of Co-doped LaFeAsO using single crystals and thermodynamic methods.

Superconductivity

StyleDGPT: Stylized Response Generation with Pre-trained Language Models

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li

Generating responses following a desired style has great potentials to extend applications of open-domain dialogue systems, yet is refrained by lacking of parallel data for training.

Response Generation Sentence