Zobrazeno 1 - 10
of 19 414
pro vyhledávání: '"P, Senthil"'
Autor:
Awadalla, Anas, Xue, Le, Shu, Manli, Yan, An, Wang, Jun, Purushwalkam, Senthil, Shen, Sheng, Lee, Hannah, Lo, Oscar, Park, Jae Sung, Guha, Etash, Savarese, Silvio, Schmidt, Ludwig, Choi, Yejin, Xiong, Caiming, Xu, Ran
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthetic dense image captions with web-scale alt-text to generate factually
Externí odkaz:
http://arxiv.org/abs/2411.07461
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techni
Externí odkaz:
http://arxiv.org/abs/2410.23949
Autor:
Wozniak, Maciej K., Govindarajan, Hariprasath, Klingner, Marvin, Maurice, Camille, Kiran, B Ravi, Yogamani, Senthil
Recent self-supervised clustering-based pre-training techniques like DINO and Cribo have shown impressive results for downstream detection and segmentation tasks. However, real-world applications such as autonomous driving face challenges with imbala
Externí odkaz:
http://arxiv.org/abs/2410.23085
Object Detection is related to Computer Vision. Object detection enables detecting instances of objects in images and videos. Due to its increased utilization in surveillance, tracking system used in security and many others applications have propell
Externí odkaz:
http://arxiv.org/abs/2410.16320
Vision-Language Models (VLMs) often generate plausible but incorrect responses to visual queries. However, reliably quantifying the effect of such hallucinations in free-form responses to open-ended queries is challenging as it requires visually veri
Externí odkaz:
http://arxiv.org/abs/2410.13121
Autor:
Stein, Alex, Sharpe, Samuel, Bergman, Doron, Kumar, Senthil, Bruss, C. Bayan, Dickerson, John, Goldstein, Tom, Goldblum, Micah
Many real-world applications of tabular data involve using historic events to predict properties of new ones, for example whether a credit card transaction is fraudulent or what rating a customer will assign a product on a retail platform. Existing a
Externí odkaz:
http://arxiv.org/abs/2410.10648
In the context of cellular networks, users located at the periphery of cells are particularly vulnerable to substantial interference from neighbouring cells, which can be represented as a two-user interference channel. This study introduces two highl
Externí odkaz:
http://arxiv.org/abs/2410.19767
Synthetic platforms afford an unparalleled degree of controllability in realizing strongly-correlated phases of matter. In this work, we study the possibility of electrically tunable exciton-mediated superconductivity arising in charge-imbalanced bil
Externí odkaz:
http://arxiv.org/abs/2410.09148
Autor:
Ming, Yifei, Purushwalkam, Senthil, Pandit, Shrey, Ke, Zixuan, Nguyen, Xuan-Phi, Xiong, Caiming, Joty, Shafiq
Ensuring faithfulness to context in large language models (LLMs) and retrieval-augmented generation (RAG) systems is crucial for reliable deployment in real-world applications, as incorrect or unsupported information can erode user trust. Despite adv
Externí odkaz:
http://arxiv.org/abs/2410.03727
Autor:
Shi, Zhengyan Darius, Senthil, T.
We study novel itinerant phases that can be accessed by doping a fractional quantum anomalous Hall (FQAH) insulator, with a focus on the experimentally observed Jain states at lattice filling $\nu = p/(2p+1)$. Unlike in the lowest Landau level, where
Externí odkaz:
http://arxiv.org/abs/2409.20567