no code implementations • 30 Apr 2024 • Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, ZiQi Liang, xulong Zhang, Ning Cheng, Jing Xiao
Extractive Question Answering (EQA) in Machine Reading Comprehension (MRC) often faces the challenge of dealing with semantically identical but format-variant inputs.
Extractive Question-Answering Machine Reading Comprehension +1
1 code implementation • 1 Feb 2024 • Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
Data filtering for instruction tuning has proved important in improving both the efficiency and performance of the tuning process.
no code implementations • 18 Jan 2024 • Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang
Large Language Models (LLMs) have shown significant promise in various applications, including zero-shot and few-shot learning.
no code implementations • 23 Oct 2023 • Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao
The Retrieval Question Answering (ReQA) task employs the retrieval-augmented framework, composed of a retriever and generator.
no code implementations • 30 Aug 2023 • Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming
MBSR is a relatively new and worthy direction for in-depth research, which can achieve state-of-the-art recommendation through suitable modeling, and some related works have been proposed.
2 code implementations • 23 Aug 2023 • Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
In the realm of Large Language Models (LLMs), the balance between instruction data quality and quantity is a focal point.
no code implementations • 7 Aug 2023 • Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao
Chinese Automatic Speech Recognition (ASR) error correction presents significant challenges due to the Chinese language's unique features, including a large character set and borderless, morpheme-based structure.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 7 Aug 2023 • Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao
Conversational Question Answering (CQA) is a challenging task that aims to generate natural answers for conversational flow questions.
no code implementations • 10 May 2023 • Julio A. Oscanoa, Frank Ong, Siddharth S. Iyer, Zhitao Li, Christopher M. Sandino, Batu Ozturkler, Daniel B. Ennis, Mert Pilanci, Shreyas S. Vasanawala
Results: First, we performed ablation experiments to validate the sketching matrix design on both Cartesian and non-Cartesian datasets.
no code implementations • 15 Mar 2023 • Tong Ye, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
Deep neural networks have achieved remarkable performance in retrieval-based dialogue systems, but they are shown to be ill calibrated.
no code implementations • 15 Mar 2023 • Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
Deep neural retrieval models have amply demonstrated their power but estimating the reliability of their predictions remains challenging.
no code implementations • 3 Oct 2022 • Yuqian Guo, Zhitao Li
Furthermore, it is proved that, for uniform set stability and asymptotical/finite-time set stability with ratio one, the set stability is equivalent to the stability with respect to the LRIS in the destination set.
no code implementations • 21 Jun 2022 • Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang
Recently, the artificial intelligence of things (AIoT) has been gaining increasing attention, with an intriguing vision of providing highly intelligent services through the network connection of things, leading to an advanced AI-driven ecology.
no code implementations • 24 Feb 2022 • Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
In this paper, we propose a novel method by directly extracting the coreference and omission relationship from the self-attention weight matrix of the transformer instead of word embeddings and edit the original text accordingly to generate the complete utterance.
7 code implementations • 28 Sep 2020 • Konstantinos, Katsiapis, Abhijit Karmarkar, Ahmet Altay, Aleksandr Zaks, Neoklis Polyzotis, Anusha Ramesh, Ben Mathes, Gautam Vasudevan, Irene Giannoumis, Jarek Wilkiewicz, Jiri Simsa, Justin Hong, Mitch Trott, Noé Lutz, Pavel A. Dournov, Robert Crowe, Sarah Sirajuddin, Tris Brian Warkentin, Zhitao Li
In closing, we will also share a glimpse into the future of TFX.