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pro vyhledávání: '"Li, Xianming"'
High-quality sentence embeddings are fundamental in many natural language processing (NLP) tasks, such as semantic textual similarity (STS) and retrieval-augmented generation (RAG). Nevertheless, most existing methods leverage fixed-length embeddings
Externí odkaz:
http://arxiv.org/abs/2402.14776
Autor:
Li, Xianming, Li, Jing
Social media data is plagued by the redundancy problem caused by its noisy nature, leading to increased training time and model bias. To address this issue, we propose a novel approach called generative deduplication. It aims to remove duplicate text
Externí odkaz:
http://arxiv.org/abs/2401.05883
Autor:
Li, Xianming, Li, Jing
Sentence embeddings are crucial in measuring semantic similarity. Most recent studies employed large language models (LLMs) to learn sentence embeddings. Existing LLMs mainly adopted autoregressive architecture without explicit backward dependency mo
Externí odkaz:
http://arxiv.org/abs/2311.05296
Autor:
Li, Zongxi, Li, Xianming, Liu, Yuzhang, Xie, Haoran, Li, Jing, Wang, Fu-lee, Li, Qing, Zhong, Xiaoqin
The recent success of Large Language Models (LLMs) has gained significant attention in both academia and industry. Substantial efforts have been made to enhance the zero- and few-shot generalization capabilities of open-source LLMs through finetuning
Externí odkaz:
http://arxiv.org/abs/2310.01208
Autor:
Li, Xianming, Li, Jing
High-quality text embedding is pivotal in improving semantic textual similarity (STS) tasks, which are crucial components in Large Language Model (LLM) applications. However, a common challenge existing text embedding models face is the problem of va
Externí odkaz:
http://arxiv.org/abs/2309.12871
Autor:
Li, Xianming, Li, Zongxi, Luo, Xiaotian, Xie, Haoran, Lee, Xing, Zhao, Yingbin, Wang, Fu Lee, Li, Qing
Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text processing. Prior works have adopted the chunking strategy to divide long do
Externí odkaz:
http://arxiv.org/abs/2306.06843
Publikováno v:
In Sensors and Actuators: B. Chemical 1 June 2024 408
Publikováno v:
In Microchemical Journal May 2024 200
Autor:
Li, Xianming, Fan, Wentong, Tang, Honghu, Li, Dongdong, Xiao, Yuling, Yang, Bin, Zhao, Yi, Wu, Peng
Publikováno v:
In Food Chemistry 1 May 2024 439
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 9, Pp 183-191 (2023)
A series of processable and high-temperature resistant polyimide resins terminated with 4-phenylethynyl phthalic anhydride were synthesized by PMR (for in situ polymerization of monomer reactants) using isopropyl alcohol as esterifying agent. The res
Externí odkaz:
https://doaj.org/article/f8b4bae118d0469fb1882825177a5854