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pro vyhledávání: '"Zhou, Yuqi"'
Timely and effective load shedding in power systems is critical for maintaining supply-demand balance and preventing cascading blackouts. To eliminate load shedding bias against specific regions in the system, optimization-based methods are uniquely
Externí odkaz:
http://arxiv.org/abs/2407.18989
Jailbreak attacks on large language models (LLMs) involve inducing these models to generate harmful content that violates ethics or laws, posing a significant threat to LLM security. Current jailbreak attacks face two main challenges: low success rat
Externí odkaz:
http://arxiv.org/abs/2406.19845
Recently, researchers have uncovered that neural retrieval models prefer AI-generated content (AIGC), called source bias. Compared to active search behavior, recommendation represents another important means of information acquisition, where users ar
Externí odkaz:
http://arxiv.org/abs/2405.17998
Autor:
Dai, Sunhao, Liu, Weihao, Zhou, Yuqi, Pang, Liang, Ruan, Rongju, Wang, Gang, Dong, Zhenhua, Xu, Jun, Wen, Ji-Rong
The proliferation of Large Language Models (LLMs) has led to an influx of AI-generated content (AIGC) on the internet, transforming the corpus of Information Retrieval (IR) systems from solely human-written to a coexistence with LLM-generated content
Externí odkaz:
http://arxiv.org/abs/2405.16546
Autor:
Zeng, Chunna, Zhou, Yuqi
All $\textrm{SL}(n)$ contravariant matrix-valued valuations on polytopes in $\mathbb{R}^n$ are completely classified without any continuity assumptions. Moreover, the symmetry assumption of matrices is removed. The general Lutwak-Yang-Zhang matrix tu
Externí odkaz:
http://arxiv.org/abs/2405.06897
Autor:
Zhou, Yuqi, Zhu, Hao
Prompt and effective corrective actions in response to unexpected contingencies are crucial for improving power system resilience and preventing cascading blackouts. The optimal load shedding (OLS) accounting for network limits has the potential to a
Externí odkaz:
http://arxiv.org/abs/2405.05521
Increasing amount of wildfires in recent years consistently challenges the safe and reliable operations of power systems. To prevent power lines and other electrical components from causing wildfires under extreme conditions, electric utilities often
Externí odkaz:
http://arxiv.org/abs/2402.04444
Autor:
Dai, Sunhao, Zhou, Yuqi, Pang, Liang, Liu, Weihao, Hu, Xiaolin, Liu, Yong, Zhang, Xiao, Wang, Gang, Xu, Jun
Recently, the emergence of large language models (LLMs) has revolutionized the paradigm of information retrieval (IR) applications, especially in web search, by generating vast amounts of human-like texts on the Internet. As a result, IR systems in t
Externí odkaz:
http://arxiv.org/abs/2310.20501
Autor:
Zhou, Huixue, Austin, Robin, Lu, Sheng-Chieh, Silverman, Greg, Zhou, Yuqi, Kilicoglu, Halil, Xu, Hua, Zhang, Rui
Objective: Our study aimed to construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to better represent the often underrepresented physical and psychological CIH approaches in standard terminologies. We also intended to
Externí odkaz:
http://arxiv.org/abs/2305.17353
Wildfires pose a significant threat to the safe and reliable operations of the electric grid. To mitigate wildfire risk, system operators resort to public safety power shutoffs, or PSPS, that shed load for a subset of customers. As wildfire risk fore
Externí odkaz:
http://arxiv.org/abs/2303.07558