Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Hu, Yutong"'
Event Temporal Relation Extraction (ETRE) aims to identify the temporal relationship between two events, which plays an important role in natural language understanding. Most previous works follow a single-label classification style, classifying an e
Externí odkaz:
http://arxiv.org/abs/2408.07353
Despite remarkable performance in legal consultation exhibited by legal Large Language Models(LLMs) combined with legal article retrieval components, there are still cases when the advice given is incorrect or baseless. To alleviate these problems, w
Externí odkaz:
http://arxiv.org/abs/2408.07137
The advent of deep learning has introduced efficient approaches for de novo protein sequence design, significantly improving success rates and reducing development costs compared to computational or experimental methods. However, existing methods fac
Externí odkaz:
http://arxiv.org/abs/2407.07443
As the context length that large language models can handle continues to increase, these models demonstrate an enhanced ability to utilize distant information for tasks such as language modeling. This capability contrasts with human reading and writi
Externí odkaz:
http://arxiv.org/abs/2406.11238
Recent studies have shown that Large Language Models (LLMs) have the potential to process extremely long text. Many works only evaluate LLMs' long-text processing ability on the language modeling task, with perplexity (PPL) as the evaluation metric.
Externí odkaz:
http://arxiv.org/abs/2405.06105
Learning dexterous locomotion policy for legged robots is becoming increasingly popular due to its ability to handle diverse terrains and resemble intelligent behaviors. However, joint manipulation of moving objects and locomotion with legs, such as
Externí odkaz:
http://arxiv.org/abs/2403.14300
Publikováno v:
ACL 2023 Main Conference
Event temporal relation extraction~(ETRE) is usually formulated as a multi-label classification task, where each type of relation is simply treated as a one-hot label. This formulation ignores the meaning of relations and wipes out their intrinsic de
Externí odkaz:
http://arxiv.org/abs/2305.17607
Autor:
Hu, Yutong, Wang, Wei
Object-level SLAM introduces semantic meaningful and compact object landmarks that help both indoor robot applications and outdoor autonomous driving tasks. However, the back end of object-level SLAM suffers from singularity problems because existing
Externí odkaz:
http://arxiv.org/abs/2204.10552
Autor:
Tong, Yuying1 (AUTHOR) yytong@cuhk.edu.hk, Hu, Yutong1 (AUTHOR), Cheung, Nicole Wai-ting1 (AUTHOR)
Publikováno v:
Chinese Sociological Review. Dec2024, Vol. 56 Issue 5, p497-526. 30p.
Publikováno v:
In International Journal of Hydrogen Energy 11 November 2024 90:557-567