Atoxia: Red-teaming Large Language Models with Target Toxic Answers

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao | Summary: Despite the substantial advancements in artificial intelligence, large language models (LLMs) remain being challenged by generation safety. With adversarial jailbreaking prompts, one can effortlessly induce LLMs to output harmful content, causing unexpected negative social impacts. […]


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Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao | Summary: Large Language Models (LLMs) have become a focal point in the rapidly evolving field of artificial intelligence. However, a critical concern is the presence of toxic content within the pre-training corpus of these models, which […]


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CoopASD: Cooperative Machine Anomalous Sound Detection with Privacy Concerns

Kavli Affiliate: Jia Liu | First 5 Authors: Anbai Jiang, Yuchen Shi, Pingyi Fan, Wei-Qiang Zhang, Jia Liu | Summary: Machine anomalous sound detection (ASD) has emerged as one of the most promising applications in the Industrial Internet of Things (IIoT) due to its unprecedented efficacy in mitigating risks of malfunctions and promoting production efficiency. […]


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Active assembly and non-reciprocal dynamics of elastic membranes

Kavli Affiliate: Mark Bowick | Summary:Equilibrium self-assembly and conventional materials processing techniques fall far short of mimicking dynamic self-actuating processes that are commonplace throughout biology. To bridge the gap between living and synthetic matter, we study adhesive non-thermal fibers immersed in an active fluid. Autonomous chaotic flows power non-equilibrium fiber dynamics, inducing their collisions, generating […]


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Searching for GEMS: Characterizing Six Giant Planets around Cool Dwarfs

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Shubham Kanodia, Arvind F. Gupta, Caleb I. Canas, Lia Marta Bernabo, Varghese Reji | Summary: Transiting giant exoplanets around M-dwarf stars (GEMS) are rare, owing to the low-mass host stars. However, the all-sky coverage of TESS has enabled the detection of an increasingly large number of them […]


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Long Range Energy-energy Correlator at the LHC

Kavli Affiliate: Feng Yuan | First 5 Authors: Yuxun Guo, Xiaohui Liu, Feng Yuan, , | Summary: We study the forward-backward azimuthal angular correlations of hadrons in association with multi-particle production in the central rapidity region in proton-proton collisions at the LHC. We apply the nucleon energy-energy correlator framework, where the spinning gluon distribution introduces […]


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Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons

Kavli Affiliate: Yi Zhou | First 5 Authors: Yang Wang, Danni Wang, Liting Zhong, Yi Zhou, Qing Wang | Summary: Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, […]


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$boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes

Kavli Affiliate: Cheng Peng | First 5 Authors: Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas | Summary: Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vastly, leading to an unstable quality of service for downstream […]


Continue.. $boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes

$boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes

Kavli Affiliate: Cheng Peng | First 5 Authors: Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas | Summary: Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vastly, leading to an unstable quality of service for downstream […]


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Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques

Kavli Affiliate: Ting Xu | First 5 Authors: Yoon Tae Park, Ting Xu, Mohamed Anany, , | Summary: Uplift modeling is essential for optimizing marketing strategies by selecting individuals likely to respond positively to specific marketing campaigns. This importance escalates in multi-treatment marketing campaigns, where diverse treatment is available and we may want to assign […]


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