Search Results for author:
Found 21 papers, 4 papers with code
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task
And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.
A Multimodal Simultaneous Interpretation Prototype: Who Said What
“Who said what” is essential for users to understand video streams that have more than one speaker, but conventional simultaneous interpretation systems merely present “what was said” in the form of subtitles.
Characterization of Large Language Model Development in the Datacenter
Large Language Models (LLMs) have presented impressive performance across several transformative tasks.
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Deep learning (DL) shows its prosperity in a wide variety of fields.
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions
Deformable image registration plays a critical role in various tasks of medical image analysis.
Exploring General Intelligence of Program Analysis for Multiple Tasks
To this end, we explore a generic program embedding approach that aim at solving multiple program analysis tasks.
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
To this end, we propose a learning-aided approach to identify unnecessary memory operations intelligently with low overhead.
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++
This paper presents an open-source enforcement learning toolkit named CytonRL (https://github. com/arthurxlw/cytonRL).
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
This paper presents an open-source neural machine translation toolkit named CytonMT (https://github. com/arthurxlw/cytonMt).
A Prototype Automatic Simultaneous Interpretation System
Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public.
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation
Simultaneous interpretation is a very challenging application of machine translation in which the input is a stream of words from a speech recognition engine.
