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pro vyhledávání: '"HAN, Peng"'
Living fish may suddenly encounter upstream obstacles, join the queue of the fish schooling, or detect upstream flow in advance, resulting in interactions with environmental vortices that can be abrupt or develop gradually from an initial state. The
Externí odkaz:
http://arxiv.org/abs/2409.17957
Autor:
Jiang, Xin, Li, Xiang, Ma, Wenjia, Fang, Xuezhi, Yao, Yiqun, Yu, Naitong, Meng, Xuying, Han, Peng, Li, Jing, Sun, Aixin, Wang, Yequan
Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks through a generative approach. However, the flexibility of their output for
Externí odkaz:
http://arxiv.org/abs/2409.03346
Autor:
Yao, Yiqun, Ma, Wenjia, Fang, Xuezhi, Jiang, Xin, Li, Xiang, Meng, Xuying, Han, Peng, Li, Jing, Sun, Aixin, Wang, Yequan
Controlling the format of outputs generated by large language models (LLMs) is a critical functionality in various applications. Current methods typically employ constrained decoding with rule-based automata or fine-tuning with manually crafted forma
Externí odkaz:
http://arxiv.org/abs/2408.04392
Autor:
Han, Peng
Learning to rank is utilized in many scenarios, such as disease-gene association, information retrieval and recommender system. Improving the prediction accuracy of the ranking model is the main target of existing works. Contextual information has a
Externí odkaz:
http://hdl.handle.net/10754/673398
Autor:
Gong, Chang, Yao, Di, Wang, Jin, Li, Wenbin, Fang, Lanting, Xie, Yongtao, Feng, Kaiyu, Han, Peng, Bi, Jingping
Root Cause Analysis (RCA) aims at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from complex systems. It has been widely used in many application domains. Reliable diagnostic conclusions are of gr
Externí odkaz:
http://arxiv.org/abs/2407.05869
Autor:
Huang, Chengrui, Shi, Zhengliang, Wen, Yuntao, Chen, Xiuying, Han, Peng, Gao, Shen, Shang, Shuo
Tool learning methods have enhanced the ability of large language models (LLMs) to interact with real-world applications. Many existing works fine-tune LLMs or design prompts to enable LLMs to select appropriate tools and correctly invoke them to mee
Externí odkaz:
http://arxiv.org/abs/2407.03007
Bent functions are maximally nonlinear Boolean functions with an even number of variables, which include a subclass of functions, the so-called hyper-bent functions whose properties are stronger than bent functions and a complete classification of hy
Externí odkaz:
http://arxiv.org/abs/2407.01946
The inverse scattering transform for the defocusing-defocusing coupled Hirota equations with non-zero boundary conditions at infinity is thoroughly discussed. We delve into the analytical properties of the Jost eigenfunctions and scrutinize the chara
Externí odkaz:
http://arxiv.org/abs/2406.08189
With their high-fidelity scene representation capability, the attention of SLAM field is deeply attracted by the Neural Radiation Field (NeRF) and 3D Gaussian Splatting (3DGS). Recently, there has been a surge in NeRF-based SLAM, while 3DGS-based SLA
Externí odkaz:
http://arxiv.org/abs/2405.11129
Autor:
Han, Peng-Fei, Zhang, Yi
Shallow water waves phenomena in nature attract the attention of scholars and play an important role in fields such as tsunamis, tidal waves, solitary waves, and hydraulic engineering. Hereby, fortheshallowwaterwavesphenomenainvariousnaturalenvironme
Externí odkaz:
http://arxiv.org/abs/2404.18697