Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed

氣泡

書目名稱Knowledge Science, Engineering and Management影響因子(影響力)




書目名稱Knowledge Science, Engineering and Management影響因子(影響力)學科排名




書目名稱Knowledge Science, Engineering and Management網(wǎng)絡公開度




書目名稱Knowledge Science, Engineering and Management網(wǎng)絡公開度學科排名




書目名稱Knowledge Science, Engineering and Management被引頻次




書目名稱Knowledge Science, Engineering and Management被引頻次學科排名




書目名稱Knowledge Science, Engineering and Management年度引用




書目名稱Knowledge Science, Engineering and Management年度引用學科排名




書目名稱Knowledge Science, Engineering and Management讀者反饋




書目名稱Knowledge Science, Engineering and Management讀者反饋學科排名

禍害隱伏

灰姑娘

不能約

尾隨

Integrated Geologic Terms and Dual Model for Chinese Geological Word Segmentationmodel, and provides the ability to adapt to the new scenarios while maintaining the adaptability to the original scene. We introduce a words segmentation correction method based on the similarity with geologic terms, in order to enhance the ability to identify the boundaries of highly domain-specific geologic terms.

CLASH

Exploring Word Composition Knowledge in?Language Usagessting and find the abnormal patterns on the language usages. Compared to the large pre-trained models, this method is much more training-economic and can generate the paraphrases in an explainable way.

Minuet

L2R-Nav: A Large Language Model-Enhanced Framework for?Robotic Navigationof the L2R-Nav framework are demonstrated through extensive empirical evaluations in a variety of environments, underscoring its potential as a significant advancement in the field of robotic navigation.

PLE

微生物

Adversarial Attacks on Large Language Modelsffers a foundational overview of LLMs and traces their developmental trajectory. We systematically classify and compare adversarial examples on LLMs based on their perturbation units. Additionally, we scrutinize the root causes of vulnerability and explore prevalent defense approaches tailored to mitigate adversarial attacks on LLMs.

jumble