no code implementations • ACL 2022 • Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao
Events are fundamental building blocks of real-world happenings.
no code implementations • 2 Apr 2024 • Xinze Li, Penglei Wang, Tianfan Fu, Wenhao Gao, Chengtao Li, Leilei Shi, Junhong Liu
Structure-based drug design (SBDD), which aims to generate molecules that can bind tightly to the target protein, is an essential problem in drug discovery, and previous approaches have achieved initial success.
no code implementations • 21 Mar 2024 • Fanfan Lin, Junhua Liu, Xinze Li, Shuai Zhao, Bohui Zhao, Hao Ma, Xin Zhang
This paper proposes PE-GPT, a custom-tailored large language model uniquely adapted for power converter modulation design.
no code implementations • 5 Mar 2024 • Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty
In the rapidly evolving field of machine learning (ML), data augmentation (DA) has emerged as a pivotal technique for enhancing model performance by diversifying training examples without the need for additional data collection.
1 code implementation • 25 Feb 2024 • Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu
It finetunes the compression plugin module and uses the representations of gist tokens to emulate the raw prompts in the vanilla language model.
1 code implementation • 21 Oct 2023 • Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
To facilitate the multi-modal retrieval tasks, we build the ClueWeb22-MM dataset based on the ClueWeb22 dataset, which regards anchor texts as queries, and exacts the related text and image documents from anchor-linked web pages.
no code implementations • 9 Oct 2023 • Xinze Li, Yixin Cao2, Liangming Pan, Yubo Ma, Aixin Sun
Although achieving great success, Large Language Models (LLMs) usually suffer from unreliable hallucinations.
no code implementations • 2 Aug 2023 • Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng
To address these issues, this paper proposes a novel GAN framework, the feature-aware conditional GAN (FA-GAN), for controllable category text generation.
no code implementations • 2 Aug 2023 • Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang
Several adaptive VL strategies have been introduced with which the performance of PSO can be improved.
no code implementations • 1 Aug 2023 • Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
However, to minimize the current stress when the DAB converter is under TPS modulation, two difficulties exist in analysis process and realization process, respectively.
no code implementations • 1 Aug 2023 • Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
ZVS range and efficiency are two significant performance indicators for DAB converter.
no code implementations • 30 Jul 2023 • Xinze Li, Josep Pou, Jiaxin Dong, Fanfan Lin, Changyun Wen, Suvajit Mukherjee, Xin Zhang
The D2EA approach is instantiated for the efficiency optimization of a hybrid modulation for neutral-point-clamped dual-active-bridge (NPC-DAB) converter.
1 code implementation • 31 May 2023 • Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
SANTA proposes two pretraining methods to make language models structure-aware and learn effective representations for structured data: 1) Structured Data Alignment, which utilizes the natural alignment relations between structured data and unstructured data for structure-aware pretraining.
1 code implementation • 18 May 2023 • Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun
Goal-oriented Script Generation is a new task of generating a list of steps that can fulfill the given goal.
no code implementations • 28 Sep 2021 • Xinze Li, Baixi Zou
The rapid development in the field of System of Chip (SoC) technology, Internet of Things (IoT), cloud computing, and artificial intelligence has brought more possibilities of improving and solving the current problems.