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pro vyhledávání: '"Wendt, James Bradley"'
Autor:
Hwang, EunJeong, Zhou, Yichao, Wendt, James Bradley, Gunel, Beliz, Vo, Nguyen, Xie, Jing, Tata, Sandeep
Large language models (LLMs) often struggle with processing extensive input contexts, which can lead to redundant, inaccurate, or incoherent summaries. Recent methods have used unstructured memory to incrementally process these contexts, but they sti
Externí odkaz:
http://arxiv.org/abs/2407.15021
No existing dataset adequately tests how well language models can incrementally update entity summaries - a crucial ability as these models rapidly advance. The Incremental Entity Summarization (IES) task is vital for maintaining accurate, up-to-date
Externí odkaz:
http://arxiv.org/abs/2406.05079
Publikováno v:
Proceedings of the 2012 ACM IEEE International Symposium Low Power Electronics & Design; 7/30/2012, p303-308, 6p
Publikováno v:
2015 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2015, pA1-A31, 31p
Publikováno v:
IEEE SENSORS 2014 Proceedings; 2014, p2262-2302, 41p