Kavli Affiliate: Luis C. Ho | First 5 Authors: Reena Chaudhary, Reena Chaudhary, , , | Summary: We investigate the origin of intervening cool MgII absorption detected in the spectra of background quasars and the nature of associated galaxies across a broad redshift range of $0.3 le z le 1.6$. Using nebular [O II] $lambdalambda$3727,3729 […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jiayu Xiong, Jiayu Xiong, , , | Summary: Recently, Transformers (e.g., Audio Spectrogram Transformers, AST) and state-space models (e.g., Audio Mamba, AuM) have achieved remarkable progress in audio modeling. However, the O(L^2) computational complexity of the Transformer architecture hinders efficient long-sequence processing, while the Mamba architecture tends […]
Kavli Affiliate: Ke Wang | First 5 Authors: , , , , | Summary: Acetamide (CH$_3$CONH$_2$), a key interstellar amide and a methyl derivative of formamide (NH$_2$CHO), has been sparsely detected, limiting insights into its prebiotic relevance. We present the first systematic survey for acetamide toward 52 hot molecular cores using ALMA Band 6 data. […]
Kavli Affiliate: Jing Wang | First 5 Authors: Biao Yang, Biao Yang, , , | Summary: In recent years, the development of Large Language Models (LLMs) has significantly advanced, extending their capabilities to multimodal tasks through Multimodal Large Language Models (MLLMs). However, video understanding remains a challenging area due to the dynamic and information-dense nature […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Xinbo Zhang, Xinbo Zhang, , , | Summary: Driving behavior big data leverages multi-sensor telematics to understand how people drive and powers applications such as risk evaluation, insurance pricing, and targeted intervention. Usage-based insurance (UBI) built on these data has become mainstream. Telematics-captured near-miss events (NMEs) […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Yuting Tan, Yuting Tan, , , | Summary: Gradient-based adversarial prompting, such as the Greedy Coordinate Gradient (GCG) algorithm, has emerged as a powerful method for jailbreaking large language models (LLMs). In this paper, we present a systematic appraisal of GCG and its annealing-augmented variant, T-GCG, across […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Yifan Gao, Yifan Gao, , , | Summary: Foundation models pre-trained on large-scale natural image datasets offer a powerful paradigm for medical image segmentation. However, effectively transferring their learned representations for precise clinical applications remains a challenge. In this work, we propose Dino U-Net, a novel encoder-decoder […]
Kavli Affiliate: Jing Wang | First 5 Authors: Pengpeng Yu, Pengpeng Yu, , , | Summary: LiDAR point clouds are fundamental to various applications, yet high-precision scans incur substantial storage and transmission overhead. Existing methods typically convert unordered points into hierarchical octree or voxel structures for dense-to-sparse predictive coding. However, the extreme sparsity of geometric […]
Kavli Affiliate: Ke Wang | First 5 Authors: Houxing Ren, Houxing Ren, , , | Summary: The code generation capabilities of Large Language Models (LLMs) have advanced applications like tool invocation and problem-solving. However, improving performance in code-related tasks remains challenging due to limited training data that is verifiable with accurate test cases. While Direct […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Ziyi Ni, Ziyi Ni, , , | Summary: Beyond scratch coding, exploiting large-scale code repositories (e.g., GitHub) for practical tasks is vital in real-world software development, yet current benchmarks rarely evaluate code agents in such authentic, workflow-driven scenarios. To bridge this gap, we introduce GitTaskBench, a […]