Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pan, Fengjun"'
Fallacies are defective arguments with faulty reasoning. Detecting and classifying them is a crucial NLP task to prevent misinformation, manipulative claims, and biased decisions. However, existing fallacy classifiers are limited by the requirement f
Externí odkaz:
http://arxiv.org/abs/2410.15050
Autor:
Zhao, Shuai, Jia, Meihuizi, Guo, Zhongliang, Gan, Leilei, Xu, Xiaoyu, Wu, Xiaobao, Fu, Jie, Feng, Yichao, Pan, Fengjun, Tuan, Luu Anh
Large Language Models (LLMs), which bridge the gap between human language understanding and complex problem-solving, achieve state-of-the-art performance on several NLP tasks, particularly in few-shot and zero-shot settings. Despite the demonstrable
Externí odkaz:
http://arxiv.org/abs/2406.06852
Autor:
Wu, Xiaobao, Pan, Fengjun, Nguyen, Thong, Feng, Yichao, Liu, Chaoqun, Nguyen, Cong-Duy, Luu, Anh Tuan
Hierarchical topic modeling aims to discover latent topics from a corpus and organize them into a hierarchy to understand documents with desirable semantic granularity. However, existing work struggles with producing topic hierarchies of low affinity
Externí odkaz:
http://arxiv.org/abs/2401.14113
In-context learning, a paradigm bridging the gap between pre-training and fine-tuning, has demonstrated high efficacy in several NLP tasks, especially in few-shot settings. Despite being widely applied, in-context learning is vulnerable to malicious
Externí odkaz:
http://arxiv.org/abs/2401.05949
Topic models have a rich history with various applications and have recently been reinvigorated by neural topic modeling. However, these numerous topic models adopt totally distinct datasets, implementations, and evaluations. This impedes quick utili
Externí odkaz:
http://arxiv.org/abs/2309.06908
Autor:
Lin, Chao, Zhang, Xiaoqin, Sun, Piliang, liu, Shuang, Mao, Jiale, Lei, Houxing, Ma, Yihan, Xu, Wenzheng, Pan, Fengjun, Chen, Meiping
Publikováno v:
The Natural Products Journal; 2024, Vol. 15 Issue: 2 p98-106, 9p
Akademický článek
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Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; Jul2022, Vol. 23 Issue 7, p7587-7600, 14p