no code implementations • 17 Jan 2024 • Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu
Large language models (LLMs) have revolutionized many areas (e. g. natural language processing, software engineering, etc.)
no code implementations • 30 Nov 2023 • Yurui Chen, Chun Gu, Junzhe Jiang, Xiatian Zhu, Li Zhang
To address this challenge, we present a unified representation model, called Periodic Vibration Gaussian (PVG).
no code implementations • 9 Oct 2023 • Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Dongning Sun
Particularly, PST first proposes using a novel symbolic program sketch to embed the abstract human expert knowledge of market trends.
1 code implementation • 19 Sep 2023 • Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao
Recommender systems are indispensable in the realm of online applications, and sequential recommendation has enjoyed considerable prevalence due to its capacity to encapsulate the dynamic shifts in user interests.
no code implementations • 9 Nov 2022 • Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research.
Medical Named Entity Recognition named-entity-recognition +3
no code implementations • 19 Jan 2022 • Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
We propose a Cond-Idf measurement to interpret this behavior, which quantifies the relatedness of a token with a label and its project-specificness.