Zobrazeno 1 - 10
of 5 211
pro vyhledávání: '"Zhao,Shuai"'
LLM-based autonomous agents have demonstrated outstanding performance in solving complex industrial tasks. However, in the pursuit of carbon neutrality and high-performance renewable energy systems, existing AI-assisted design automation faces signif
Externí odkaz:
http://arxiv.org/abs/2411.14214
The heavy meson light-cone distribution amplitude (LCDA), as defined in full QCD, plays a key role in the collinear factorization for exclusive heavy meson production and in lattice computations of the LCDA within heavy-quark effective theory (HQET).
Externí odkaz:
http://arxiv.org/abs/2411.07101
Autor:
Han, Xue-Ying, Hua, Jun, Ji, Xiangdong, Lü, Cai-Dian, Schäfer, Andreas, Su, Yushan, Wang, Wei, Xu, Ji, Yang, Yibo, Zhang, Jian-Hui, Zhang, Qi-An, Zhao, Shuai
We develop an approach for calculating heavy quark effective theory (HQET) light-cone distribution amplitudes (LCDAs) by employing a sequential effective theory methodology. The theoretical foundation of the framework is established, elucidating how
Externí odkaz:
http://arxiv.org/abs/2410.18654
Autor:
Xiao, Wenyi, Wang, Zechuan, Gan, Leilei, Zhao, Shuai, He, Wanggui, Tuan, Luu Anh, Chen, Long, Jiang, Hao, Zhao, Zhou, Wu, Fei
With the rapid advancement of large language models (LLMs), aligning policy models with human preferences has become increasingly critical. Direct Preference Optimization (DPO) has emerged as a promising approach for alignment, acting as an RL-free a
Externí odkaz:
http://arxiv.org/abs/2410.15595
Parameter-efficient fine-tuning (PEFT) can bridge the gap between large language models (LLMs) and downstream tasks. However, PEFT has been proven vulnerable to malicious attacks. Research indicates that poisoned LLMs, even after PEFT, retain the cap
Externí odkaz:
http://arxiv.org/abs/2410.14425
This paper presents a method to evaluate the alignment between the decision-making logic of Large Language Models (LLMs) and human cognition in a case study on legal LLMs. Unlike traditional evaluations on language generation results, we propose to e
Externí odkaz:
http://arxiv.org/abs/2410.09083
Autor:
Zhao, Shuai, Gan, Leilei, Guo, Zhongliang, Wu, Xiaobao, Xiao, Luwei, Xu, Xiaoyu, Nguyen, Cong-Duy, Tuan, Luu Anh
Despite being widely applied due to their exceptional capabilities, Large Language Models (LLMs) have been proven to be vulnerable to backdoor attacks. These attacks introduce targeted vulnerabilities into LLMs by poisoning training samples and full-
Externí odkaz:
http://arxiv.org/abs/2409.17946
In safety-critical systems, timing accuracy is the key to achieving precise I/O control. To meet such strict timing requirements, dedicated hardware assistance has recently been investigated and developed. However, these solutions are often fragile,
Externí odkaz:
http://arxiv.org/abs/2409.14779
We propose to investigate short-range correlations (SRCs) in nuclei by studying sub-threshold photoproduction of $\phi$ particles in an electron-positron collision experiment. We present a direct experimental signature for SRCs, which is deemed achie
Externí odkaz:
http://arxiv.org/abs/2409.14367
Fully-partitioned fixed-priority scheduling (FP-FPS) multiprocessor systems are widely found in real-time applications, where spin-based protocols are often deployed to manage the mutually exclusive access of shared resources. Unfortunately, existing
Externí odkaz:
http://arxiv.org/abs/2408.13772