Zobrazeno 1 - 10
of 1 506
pro vyhledávání: '"ZHANG, YIYING"'
In economic analysis, rational decision-makers often take actions to reduce their risk exposure. These actions include purchasing market insurance and implementing prevention measures to modify the shape of the loss distribution. Under the assumption
Externí odkaz:
http://arxiv.org/abs/2411.19436
Conditional risk measures and their associated risk contribution measures are commonly employed in finance and actuarial science for evaluating systemic risk and quantifying the effects of risk contagion. This paper introduces various types of contri
Externí odkaz:
http://arxiv.org/abs/2411.13384
We introduce a novel class of systemic risk measures, the Vulnerability Conditional risk measures, which try to capture the "tail risk" of a risky position in scenarios where one or more market participants is experiencing financial distress. Various
Externí odkaz:
http://arxiv.org/abs/2411.09676
There is a huge demand to ensure the compliance of smart contracts listed on blockchain platforms to safety and economic standards. Today, manual efforts in the form of auditing are commonly used to achieve this goal. ML-based automated techniques ha
Externí odkaz:
http://arxiv.org/abs/2410.06176
Autor:
Ma, Haoran, Qiao, Yifan, Liu, Shi, Yu, Shan, Ni, Yuanjiang, Lu, Qingda, Wu, Jiesheng, Zhang, Yiying, Kim, Miryung, Xu, Harry
Despite being a powerful concept, distributed shared memory (DSM) has not been made practical due to the extensive synchronization needed between servers to implement memory coherence. This paper shows a practical DSM implementation based on the insi
Externí odkaz:
http://arxiv.org/abs/2406.02803
Systemic risk is the risk that a company- or industry-level risk could trigger a huge collapse of another or even the whole institution. Various systemic risk measures have been proposed in the literature to quantify the domino and (relative) spillov
Externí odkaz:
http://arxiv.org/abs/2405.07549
Prompts to large language models (LLMs) have evolved beyond simple user questions. For LLMs to solve complex problems, today's practices are to include domain-specific instructions, illustration of tool usages, and/or long context such as textbook ch
Externí odkaz:
http://arxiv.org/abs/2407.00023
To govern smart contracts running on Ethereum, multiple Ethereum Request for Comment (ERC) standards have been developed, each containing a set of rules to guide the behaviors of smart contracts. Violating the ERC rules could cause serious security i
Externí odkaz:
http://arxiv.org/abs/2404.04306
Autor:
He, Mengting, Xia, Shihao, Qin, Boqin, Yoshida, Nobuko, Yu, Tingting, Song, Linhai, Zhang, Yiying
The execution of smart contracts on Ethereum, a public blockchain system, incurs a fee called gas fee for its computation and data-store consumption. When programmers develop smart contracts (e.g., in the Solidity programming language), they could un
Externí odkaz:
http://arxiv.org/abs/2403.02661
Large language models are increasingly integrated with external environments, tools, and agents like ChatGPT plugins to extend their capability beyond language-centric tasks. However, today's LLM inference systems are designed for standalone LLMs. Th
Externí odkaz:
http://arxiv.org/abs/2402.01869