Zobrazeno 1 - 10
of 13 949
pro vyhledávání: '"Shicheng An"'
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Achievement emotions have a significant impact on both the learning process and outcomes. However, there is currently no brief and effective questionnaire available to evaluate Chinese university students' achievement emotions in
Externí odkaz:
https://doaj.org/article/490a44370a1d4cf4adfe7473fee5a593
Long-Context Question Answering (LCQA), a challenging task, aims to reason over long-context documents to yield accurate answers to questions. Existing long-context Large Language Models (LLMs) for LCQA often struggle with the "lost in the middle" is
Externí odkaz:
http://arxiv.org/abs/2410.18050
Autor:
Liu, Shicheng, Zhu, Minghui
Inverse reinforcement learning (IRL) aims to learn a reward function and a corresponding policy that best fit the demonstrated trajectories of an expert. However, current IRL works cannot learn incrementally from an ongoing trajectory because they ha
Externí odkaz:
http://arxiv.org/abs/2410.15612
Vision-language alignment in Large Vision-Language Models (LVLMs) successfully enables LLMs to understand visual input. However, we find that existing vision-language alignment methods fail to transfer the existing safety mechanism for text in LLMs t
Externí odkaz:
http://arxiv.org/abs/2410.12662
Autor:
Si, Cuifang, Xu, Shicheng
In this note we prove three rigidity results for Einstein manifolds with bounded covering geometry. (1) An almost flat manifold $(M,g)$ must be flat if it is Einstein, i.e. $\operatorname{Ric}_g=\lambda g$ for some real number $\lambda$. (2) A compac
Externí odkaz:
http://arxiv.org/abs/2409.15707
Autor:
Liu, Guiliang, Xu, Sheng, Liu, Shicheng, Gaurav, Ashish, Subramanian, Sriram Ganapathi, Poupart, Pascal
Inverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit constraints followed by expert agents from their demonstration data. As an emerging research topic, ICRL has received considerable attention in recent years. This
Externí odkaz:
http://arxiv.org/abs/2409.07569
It is known that any periodic map of order $n$ on a closed oriented surface of genus $g$ can be equivariantly embedded into $S^m$ for some $m$. In the orientable and smooth category, we determine the smallest possible $m$ when $n\geq 3g$. We show tha
Externí odkaz:
http://arxiv.org/abs/2408.13749
Autor:
Koprucu, Nursena, Nigam, Meher Shashwat, Xu, Shicheng, Abere, Biruk, Dominici, Gabriele, Rodriguez, Andrew, Vadgama, Sharvaree, Inal, Berfin, Tono, Alberto
Inspired by Geoffrey Hinton emphasis on generative modeling, To recognize shapes, first learn to generate them, we explore the use of 3D diffusion models for object classification. Leveraging the density estimates from these models, our approach, the
Externí odkaz:
http://arxiv.org/abs/2408.06693
Multi-modal entity alignment (MMEA) aims to identify equivalent entities between multi-modal knowledge graphs (MMKGs), where the entities can be associated with related images. Most existing studies integrate multi-modal information heavily relying o
Externí odkaz:
http://arxiv.org/abs/2407.19302
Autor:
Liu, Shicheng, Semnani, Sina J., Triedman, Harold, Xu, Jialiang, Zhao, Isaac Dan, Lam, Monica S.
Large Language Models (LLMs) have led to significant improvements in the Knowledge Base Question Answering (KBQA) task. However, datasets used in KBQA studies do not capture the true complexity of KBQA tasks. They either have simple questions, use sy
Externí odkaz:
http://arxiv.org/abs/2407.11417