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pro vyhledávání: '"Yu, Xuanqing"'
In the realm of event prediction, temporal knowledge graph forecasting (TKGF) stands as a pivotal technique. Previous approaches face the challenges of not utilizing experience during testing and relying on a single short-term history, which limits a
Externí odkaz:
http://arxiv.org/abs/2408.07840
Autor:
Sun, Wangtao, Zhang, Chenxiang, Zhang, XueYou, Yu, Xuanqing, Huang, Ziyang, Chen, Pei, Xu, Haotian, He, Shizhu, Zhao, Jun, Liu, Kang
Although Large Language Models (LLMs) have demonstrated strong ability, they are further supposed to be controlled and guided by in real-world scenarios to be safe, accurate, and intelligent. This demands the possession of capability of LLMs. However
Externí odkaz:
http://arxiv.org/abs/2407.08440
Although Large Language Models (LLMs) are showing impressive performance on a wide range of Natural Language Processing tasks, researchers have found that they still have limited ability to conduct induction. Recent works mainly adopt ``post processe
Externí odkaz:
http://arxiv.org/abs/2403.05789
Black-box Large Language Models (LLMs) have shown great power in solving various tasks and are considered general problem solvers. However, LLMs still fail in many specific tasks although understand the task instruction. In this paper, we focus on th
Externí odkaz:
http://arxiv.org/abs/2311.07032