Kavli Affiliate: Jing Wang | First 5 Authors: Mengmeng Zhang, Xingyuan Dai, Yicheng Sun, Jing Wang, Yueyang Yao | Summary: Although the Segment Anything Model (SAM) is highly effective in natural image segmentation, it requires dependencies on prompts, which limits its applicability to medical imaging where manual prompts are often unavailable. Existing efforts to fine-tune […]
Kavli Affiliate: Zeeshan Ahmed | Summary:Quantum Random Number Generators (QRNGs) emerged as a promising solution for generating truly random numbers. In the present article, we give an overview of QRNGs highlighting the merits and demerits of various strategies briefly. Then opting for the best-case scenario, we present the in-depth experimental explorations for building and characterizing […]
Kavli Affiliate: Kyle Shen | First 5 Authors: Wei Shen, Wei Shen, , , | Summary: With increasing size of large language models (LLMs), full-parameter fine-tuning imposes substantial memory demands. To alleviate this, we propose a novel memory-efficient training paradigm called Momentum Low-rank compression (MLorc). The key idea of MLorc is to compress and reconstruct […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Santanu Mondal, Gourab Giri, Ravi Joshi, Paul J. Wiita, Gopal-Krishna | Summary: Our understanding of large-scale radio jets in merger systems has been drastically improved in the era of VLA, VLBA/EVN, uGMRT, and MeerKAT. Twin Radio Galaxies (TRGs) are the rare interacting galaxy pairs where both […]
Kavli Affiliate: Wendy Freedman | Summary:This is the second of two papers exploring the effects of metallicity on the multi-wavelength properties of Cepheids in terms of their multi-wavelength period-luminosity (PL) relations, impacting their use as extragalactic distance indicators, underpinning one of the most popular paths to estimating of the expansion rate of the Universe, Ho. […]
Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Barry F. Madore, Wendy L. Freedman, Kayla Owens, , | Summary: This is the second of two papers exploring the effects of metallicity on the multi-wavelength properties of Cepheids in terms of their multi-wavelength period-luminosity (PL) relations, impacting their use as extragalactic distance indicators, underpinning one […]
Kavli Affiliate: Biao Huang| First 5 Authors: Baode Wang, Baode Wang, , , | Summary:Automated parsing of scanned documents into richly structured, machine-readable formats remains a critical bottleneck in Document AI, as traditional multi-stage pipelines suffer from error propagation and limited adaptability to diverse layouts. We introduce layoutRL, an end-to-end reinforcement learning framework that trains […]
Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Recent advances in text-to-video diffusion models have enabled high-quality video synthesis, but controllable generation remains challenging, particularly under limited data and compute. Existing fine-tuning methods for conditional generation often rely on external encoders or architectural modifications, which demand large datasets and are […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li | Summary: Class-incremental learning (CIL) enables models to learn new classes continually without forgetting previously acquired knowledge. Multi-label CIL (MLCIL) extends CIL to a real-world scenario where each sample may belong to multiple classes, introducing several challenges: […]