Výsledky vyhledávání - "Shi, Wenxuan"

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InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct

Autor: Wu, Yutong, Huang, Di, Shi, Wenxuan, Wang, Wei, Gao, Lingzhe, Liu, Shihao, Nan, Ziyuan, Yuan, Kaizhao, Zhang, Rui, Zhang, Xishan, Du, Zidong, Guo, Qi, Pu, Yewen, Yin, Dawei, Hu, Xing, Chen, Yunji

Recent advancements in open-source code large language models (LLMs) have demonstrated remarkable coding abilities by fine-tuning on the data generated from powerful closed-source LLMs such as GPT-3.5 and GPT-4 for instruction tuning. This paper expl

Externí odkaz: http://arxiv.org/abs/2407.05700

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Evaluating the External and Parametric Knowledge Fusion of Large Language Models

Autor: Zhang, Hao, Zhang, Yuyang, Li, Xiaoguang, Shi, Wenxuan, Xu, Haonan, Liu, Huanshuo, Wang, Yasheng, Shang, Lifeng, Liu, Qun, Liu, Yong, Tang, Ruiming

Integrating external knowledge into large language models (LLMs) presents a promising solution to overcome the limitations imposed by their antiquated and static parametric memory. Prior studies, however, have tended to over-reliance on external know

Externí odkaz: http://arxiv.org/abs/2405.19010

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Entity-centered Cross-document Relation Extraction

Autor: Wang, Fengqi, Li, Fei, Fei, Hao, Li, Jingye, Wu, Shengqiong, Su, Fangfang, Shi, Wenxuan, Ji, Donghong, Cai, Bo

Relation Extraction (RE) is a fundamental task of information extraction, which has attracted a large amount of research attention. Previous studies focus on extracting the relations within a sentence or document, while currently researchers begin to

Externí odkaz: http://arxiv.org/abs/2210.16541

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Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis

Autor: Shi, Wenxuan, Li, Fei, Li, Jingye, Fei, Hao, Ji, Donghong

The state-of-the-art model for structured sentiment analysis casts the task as a dependency parsing problem, which has some limitations: (1) The label proportions for span prediction and span relation prediction are imbalanced. (2) The span lengths o

Externí odkaz: http://arxiv.org/abs/2203.10796

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