Zobrazeno 1 - 10
of 17 492
pro vyhledávání: '"Krishnamurthy, P."'
Autor:
Joshi, Ishika, Shahid, Simra, Venneti, Shreeya, Vasu, Manushree, Zheng, Yantao, Li, Yunyao, Krishnamurthy, Balaji, Chan, Gromit Yeuk-Yin
Ensuring large language models' (LLMs) responses align with prompt instructions is crucial for application development. Based on our formative study with industry professionals, the alignment requires heavy human involvement and tedious trial-and-err
Externí odkaz:
http://arxiv.org/abs/2411.06099
Autor:
Susman, Aviad, Krishnamurthy, Rupak, Li, Yan Chak, Olaimat, Mohammad, Bozdag, Serdar, Varghese, Bino, Sheikh-Bahei, Nasim, Pandey, Gaurav
Effectively modeling multimodal longitudinal data is a pressing need in various application areas, especially biomedicine. Despite this, few approaches exist in the literature for this problem, with most not adequately taking into account the multimo
Externí odkaz:
http://arxiv.org/abs/2411.05983
Autor:
Srivastava, Ashutosh, Menta, Tarun Ram, Java, Abhinav, Jadhav, Avadhoot, Singh, Silky, Jandial, Surgan, Krishnamurthy, Balaji
Modern Text-to-Image (T2I) Diffusion models have revolutionized image editing by enabling the generation of high-quality photorealistic images. While the de facto method for performing edits with T2I models is through text instructions, this approach
Externí odkaz:
http://arxiv.org/abs/2411.03982
Autor:
Gamdha, Dhruv, Fair, Ryan, Krishnamurthy, Adarsh, Gomez, Enrique, Ganapathysubramanian, Baskar
Automated analysis of high-resolution transmission electron microscopy (HRTEM) images is increasingly essential for advancing research in organic electronics, where precise characterization of nanoscale crystal structures is crucial for optimizing ma
Externí odkaz:
http://arxiv.org/abs/2411.03474
Autor:
Jain, Adit, Krishnamurthy, Vikram
This paper develops theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both fields are mature, their application to decision-making by interacting LLMAs
Externí odkaz:
http://arxiv.org/abs/2411.01271
We extend the shifted boundary method (SBM) to the simulation of incompressible fluid flow using immersed octree meshes. Previous work on SBM for fluid flow primarily utilized two- or three-dimensional unstructured tetrahedral grids. Recently, octree
Externí odkaz:
http://arxiv.org/abs/2411.00272
Autor:
Caufield, Harry, Kroll, Carlo, O'Neil, Shawn T, Reese, Justin T, Joachimiak, Marcin P, Hegde, Harshad, Harris, Nomi L, Krishnamurthy, Madan, McLaughlin, James A, Smedley, Damian, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J
Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validating diverse information into a structured form suitable for databases an
Externí odkaz:
http://arxiv.org/abs/2411.00046
Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neural networks with a prescribed upper bound on their Lipschitz constant,
Externí odkaz:
http://arxiv.org/abs/2410.21234
The introduction of a twist between two layers of two-dimensional materials has opened up a new and exciting field of research known as twistronics. In these systems, the phonon dispersions show significant renormalization and enhanced electron-phono
Externí odkaz:
http://arxiv.org/abs/2410.21075
This paper considers the problem of annotating datapoints using an expert with only a few annotation rounds in a label-scarce setting. We propose soliciting reliable feedback on difficulty in annotating a datapoint from the expert in addition to grou
Externí odkaz:
http://arxiv.org/abs/2410.20041