Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Bo"'
Autor:
Liu, Bo, Zhan, Liming, Feng, Yujie, Lu, Zexin, Xie, Chengqiang, Xue, Lei, Lam, Albert Y. S., Wu, Xiao-Ming
In the realm of task-oriented dialogue systems, a robust intent detection mechanism must effectively handle malformed utterances encountered in real-world scenarios. This study presents a novel fine-tuning framework for large language models (LLMs) a
Externí odkaz:
http://arxiv.org/abs/2409.11114
Depth estimation is a cornerstone of 3D reconstruction and plays a vital role in minimally invasive endoscopic surgeries. However, most current depth estimation networks rely on traditional convolutional neural networks, which are limited in their ab
Externí odkaz:
http://arxiv.org/abs/2409.07723
Publikováno v:
Phys.Rev.D 110 (2024) 6, 064007
In this paper, we focus on massive Einstein-dilaton gravity including the coupling of dilaton scalar field to massive graviton terms, and then derive static and spherically symmetric solutions of charged dilatonic black holes in four dimensional spac
Externí odkaz:
http://arxiv.org/abs/2409.04485
The detailed study of the strong gravitational lensing of a Kerr black hole within Quantum Einstein Gravity (QEG) is performed. We calculate the photon sphere, the deflection angle of light, and observables on the equatorial plane under the strong de
Externí odkaz:
http://arxiv.org/abs/2409.03975
In this paper, we propose a novel and efficient parameter estimator based on $k$-Nearest Neighbor ($k$NN) and data generation method for the Lognormal-Rician turbulence channel. The Kolmogorov-Smirnov (KS) goodness-of-fit statistical tools are employ
Externí odkaz:
http://arxiv.org/abs/2409.01694
Considering the high-performance and low-power requirements of edge AI, this study designs a specialized instruction set processor for edge AI based on the RISC-V instruction set architecture, addressing practical issues in digital signal processing
Externí odkaz:
http://arxiv.org/abs/2409.00661
In this work, we investigate the resonance production in $\Lambda^+_c \to \gamma \pi^+ \Lambda$ decay through the triangle singularity (TS) mechanism, within an effective Lagrangian approach. We find that the appropriate loop decay process could deve
Externí odkaz:
http://arxiv.org/abs/2408.12965
Recently, a wide range of memory-efficient LLM training algorithms have gained substantial popularity. These methods leverage the low-rank structure of gradients to project optimizer states into a subspace using projection matrix found by singular va
Externí odkaz:
http://arxiv.org/abs/2408.12857
A practical dialogue system requires the capacity for ongoing skill acquisition and adaptability to new tasks while preserving prior knowledge. However, current methods for Continual Dialogue State Tracking (DST), a crucial function of dialogue syste
Externí odkaz:
http://arxiv.org/abs/2408.09857
Autor:
Feng, Yujie, Liu, Bo, Dong, Xiaoyu, Lu, Zexin, Zhan, Li-Ming, Wu, Xiao-Ming, Lam, Albert Y. S.
An ideal dialogue system requires continuous skill acquisition and adaptation to new tasks while retaining prior knowledge. Dialogue State Tracking (DST), vital in these systems, often involves learning new services and confronting catastrophic forge
Externí odkaz:
http://arxiv.org/abs/2408.09846