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pro vyhledávání: '"Chua BY"'
Large Language Models are prone to off-topic misuse, where users may prompt these models to perform tasks beyond their intended scope. Current guardrails, which often rely on curated examples or custom classifiers, suffer from high false-positive rat
Externí odkaz:
http://arxiv.org/abs/2411.12946
Autor:
Roldán, Juan B., Miranda, Enrique, Maldonado, David, Mikhaylov, Alexey N., Agudov, Nikolay V., Dubkov, Alexander A., Koryazhkina, Maria N., González, Mireia B., Villena, Marco A., Poblador, Samuel, Saludes-Tapia, Mercedes, Picos, Rodrigo, Jiménez-Molinos, Francisco, Stavrinides, Stavros G., Salvador, Emili, Alonso, Francisco J., Campabadal, Francesca, Spagnolo, Bernardo, Lanza, Mario, Chua, Leon O.
Publikováno v:
Advanced Intelligent systems, 2200338, 46 pages, 2023
Resistive memories are outstanding electron devices that have displayed a large potential in a plethora of applications such as nonvolatile data storage, neuromorphic computing, hardware cryptography, etc. Their fabrication control and performance ha
Externí odkaz:
http://arxiv.org/abs/2411.12369
Autor:
Cui, Chenhang, Deng, Gelei, Zhang, An, Zheng, Jingnan, Li, Yicong, Gao, Lianli, Zhang, Tianwei, Chua, Tat-Seng
Recent advances in Large Vision-Language Models (LVLMs) have showcased strong reasoning abilities across multiple modalities, achieving significant breakthroughs in various real-world applications. Despite this great success, the safety guardrail of
Externí odkaz:
http://arxiv.org/abs/2411.11496
Autor:
Xiang, Jinggang, Cruz-Colón, Enid, Chua, Candice C., Milner, William R., de Hond, Julius, Fricke, Jacob F., Ketterle, Wolfgang
We report the first in situ observation of density fluctuations on the scale of the thermal de Broglie wavelength in an ultracold gas of bosons. Bunching of $^{87}$Rb atoms in a quasi two-dimensional system is observed by single-atom imaging using a
Externí odkaz:
http://arxiv.org/abs/2411.08779
Autor:
Marcato, Agnese, Santos, Javier E., Pachalieva, Aleksandra, Gao, Kai, Hill, Ryley, Rougier, Esteban, Kang, Qinjun, Hyman, Jeffrey, Hunter, Abigail, Chua, Janel, Lawrence, Earl, Viswanathan, Hari, O'Malley, Daniel
Understanding material failure is critical for designing stronger and lighter structures by identifying weaknesses that could be mitigated. Existing full-physics numerical simulation techniques involve trade-offs between speed, accuracy, and the abil
Externí odkaz:
http://arxiv.org/abs/2411.08354
Autor:
Ren, Ruiyang, Wang, Yuhao, Zhou, Kun, Zhao, Wayne Xin, Wang, Wenjie, Liu, Jing, Wen, Ji-Rong, Chua, Tat-Seng
Large language models (LLMs), with advanced linguistic capabilities, have been employed in reranking tasks through a sequence-to-sequence approach. In this paradigm, multiple passages are reranked in a listwise manner and a textual reranked permutati
Externí odkaz:
http://arxiv.org/abs/2411.04602
Autor:
Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan
We provide new lower bounds on the privacy guarantee of the multi-epoch Adaptive Batch Linear Queries (ABLQ) mechanism with shuffled batch sampling, demonstrating substantial gaps when compared to Poisson subsampling; prior analysis was limited to a
Externí odkaz:
http://arxiv.org/abs/2411.04205
Autor:
Pasham, Dheeraj, Kejriwal, Shubham, Coughlin, Eric, Witzany, Vojtěch, Chua, Alvin J. K., Zajaček, Michal, Wevers, Thomas, Ajay, Yukta
Quasi-periodic eruptions (QPEs) are recurring bursts of soft X-rays from the nuclei of galaxies. Their physical origin is currently a subject of debate, with models typically invoking an orbiter around a massive black hole or disk instabilities. Here
Externí odkaz:
http://arxiv.org/abs/2411.00289
Remote sensing change detection aims to perceive changes occurring on the Earth's surface from remote sensing data in different periods, and feed these changes back to humans. However, most existing methods only focus on detecting change regions, lac
Externí odkaz:
http://arxiv.org/abs/2410.23828
Autor:
Huang, Youcheng, Zhu, Fengbin, Tang, Jingkun, Zhou, Pan, Lei, Wenqiang, Lv, Jiancheng, Chua, Tat-Seng
Visual Language Models (VLMs) are vulnerable to adversarial attacks, especially those from adversarial images, which is however under-explored in literature. To facilitate research on this critical safety problem, we first construct a new laRge-scale
Externí odkaz:
http://arxiv.org/abs/2410.22888