From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality?

no code implementations • 18 Mar 2024 • Guangming Huang, Yunfei Long, Yingya Li, Giorgos Papanastasiou

This work presents a thorough scoping review on explainable and interpretable DL in healthcare NLP.

Decision Making

Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process

no code implementations • 29 Feb 2024 • Guangming Huang, Yunfei Long, Cunjin Luo, Jiaxing Shen, Xia Sun

In this study, we introduce a Prompting Explicit and Implicit knowledge (PEI) framework, which uses prompts to connect explicit and implicit knowledge, aligning with human reading process for multi-hop QA.

Multi-hop Question Answering Question Answering

Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning

no code implementations • 24 Apr 2023 • Pengcheng Ai, Le Xiao, Zhi Deng, Yi Wang, Xiangming Sun, Guangming Huang, Dong Wang, Yulei Li, Xinchi Ran

We mathematically demonstrate the existence of the optimal function desired by the method, and give a systematic algorithm for training and calibration of the model.

LOCx2, a Low-latency, Low-overhead, 2 x 5.12-Gbps Transmitter ASIC for the ATLAS Liquid Argon Calorimeter Trigger Upgrade

no code implementations • 18 Sep 2020 • Le Xiao, Xiaoting Li, Datao Gong, Jinghong Chen, Di Guo, Huiqin He, Suen Hou, Guangming Huang, Chonghan Liu, Tiankuan Liu, Xiangming Sun, Ping-Kun Teng, Bozorgmehr Vosooghi, Annie C. Xiang, Jingbo Ye, Yang You, Zhiheng Zuo

In this paper, we present the design and test results of LOCx2, a transmitter ASIC for the ATLAS Liquid Argon Calorimeter trigger upgrade.

Instrumentation and Detectors