Zobrazeno 1 - 10
of 22 094
pro vyhledávání: '"Xu, Lei."'
Autor:
Xu, Lei, Li, Muming, Yu, Zhilong, Liu, Zheyu, Duan, Junyi, Wang, Fang, Zhao, Feng, Liu, Xiaochi
This paper proposes a dual-color grating chip design method for simultaneously capturing dual atomic clouds (87Rb and 133Cs). By simulating key parameters such as the grating period, etching depth, duty cycle, coating material, and thickness, the opt
Externí odkaz:
http://arxiv.org/abs/2412.14440
The growing adoption of formal verification for smart contracts has spurred the development of new verifiable languages like Move. However, the limited availability of training data for these languages hinders effective code generation by large langu
Externí odkaz:
http://arxiv.org/abs/2412.12513
Autor:
Karanjai, Rabimba, Lu, Yang, Alsagheer, Dana, Kasichainula, Keshav, Xu, Lei, Shi, Weidong, Huang, Shou-Hsuan Stephen
Logs are critical resources that record events, activities, or messages produced by software applications, operating systems, servers, and network devices. However, consolidating the heterogeneous logs and cross-referencing them is challenging and co
Externí odkaz:
http://arxiv.org/abs/2412.12364
Autor:
Liang, Aoming, Liu, Qi, Xu, Lei, Sohrab, Fahad, Cui, Weicheng, Song, Changhui, Gabbouj, Moncef
Numerous studies have focused on learning and understanding the dynamics of physical systems from video data, such as spatial intelligence. Artificial intelligence requires quantitative assessments of the uncertainty of the model to ensure reliabilit
Externí odkaz:
http://arxiv.org/abs/2412.10459
Large language models (LLMs) have shown remarkable capability in natural language tasks, yet debate persists on whether they truly comprehend deep structure (i.e., core semantics) or merely rely on surface structure (e.g., presentation format). Prior
Externí odkaz:
http://arxiv.org/abs/2411.19456
Resonant metasurfaces driven by bound states in the continuum (BIC) offer an intriguing approach to engineer high-Q resonances. Merging multiple BICs in the momentum space could further enhance the Q-factor as well as its robustness to fabrication im
Externí odkaz:
http://arxiv.org/abs/2411.13297
Autor:
He, Han, Liu, Qianchu, Xu, Lei, Shivade, Chaitanya, Zhang, Yi, Srinivasan, Sundararajan, Kirchhoff, Katrin
Existing automatic prompt engineering methods are typically designed for discriminative tasks, where new task prompts are iteratively refined with limited feedback from a single metric reflecting a single aspect. However, these approaches are subopti
Externí odkaz:
http://arxiv.org/abs/2410.02748
Large language models (LLMs) can generate fluent summaries across domains using prompting techniques, reducing the need to train models for summarization applications. However, crafting effective prompts that guide LLMs to generate summaries with the
Externí odkaz:
http://arxiv.org/abs/2410.02741
Autor:
Elangovan, Aparna, Ko, Jongwoo, Xu, Lei, Elyasi, Mahsa, Liu, Ling, Bodapati, Sravan, Roth, Dan
The effectiveness of automatic evaluation of generative models is typically measured by comparing it to human evaluation using correlation metrics. However, metrics like Krippendorff's $\alpha$ and Randolph's $\kappa$, originally designed to measure
Externí odkaz:
http://arxiv.org/abs/2410.03775
Autor:
Zhang, Zeyu, Yi, Nengmin, Tan, Shengbo, Cai, Ying, Yang, Yi, Xu, Lei, Li, Qingtai, Yi, Zhang, Ergu, Daji, Zhao, Yang
Cervical disc herniation (CDH) is a prevalent musculoskeletal disorder that significantly impacts health and requires labor-intensive analysis from experts. Despite advancements in automated detection of medical imaging, two significant challenges hi
Externí odkaz:
http://arxiv.org/abs/2409.00204