no code implementations • 1 Dec 2023 • Junchen Zhao, Yurun Song, Simeng Liu, Ian G. Harris, Sangeetha Abdu Jyothi
Second, an optimized data transmission mechanism ensures efficient and structured data flow between model segments while also maintaining the integrity of the original model structure.
no code implementations • 20 Jan 2022 • Junchen Zhao
Our objective of this project is to make the extension based on the technique mentioned in the paper "Safety-Aware Apprenticeship Learning" to improve the utility and the efficiency of the existing Reinforcement Learning model from a Single-Agent Learning framework to a Multi-Agent Learning framework.
1 code implementation • 19 Jan 2022 • Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris
In this work, we propose GAP-Gen, a Guided Automatic Python Code Generation method based on Python syntactic constraints and semantic constraints.
Ranked #2 on Code Generation on CodeXGLUE - CodeSearchNet (using extra training data)
no code implementations • NAACL 2021 • Yurun Song, Junchen Zhao, Lucia Specia
Machine translation (MT) is currently evaluated in one of two ways: in a monolingual fashion, by comparison with the system output to one or more human reference translations, or in a trained crosslingual fashion, by building a supervised model to predict quality scores from human-labeled data.