Zobrazeno 1 - 10
of 28 252
pro vyhledávání: '"Madhavan a"'
Publikováno v:
E3S Web of Conferences, Vol 511, p 01035 (2024)
Solar photovoltaic (PV) panels are commonly and widely employed source of renewable power generation. Nonetheless, they suffer from very inferior poor light to energy conversion efficiency. This drawback is aggravated further by 0.02% for every Kelvi
Externí odkaz:
https://doaj.org/article/da0efc31b79e4cfc9070fdcae2e17042
Autor:
Angela Li, Madhavan Anbuchelvan, Amir Fathi, Maya Abu-Zahra, Denis Evseenko, Frank A. Petrigliano, Ayelet Dar
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 11 (2023)
Chronic muscle injuries, such as massive rotator cuff tears, are associated with progressive muscle wasting, fibrotic scarring, and intramuscular fat accumulation. While progenitor cell subsets are usually studied in culture conditions that drive eit
Externí odkaz:
https://doaj.org/article/7d5dd77d2da74d78bd388082b543cf9c
Autor:
Adeyeye, Temitayo N., Gibeault, Sidra, Lathrop, Daniel P., Daniels, Matthew W., Stiles, Mark D., McClelland, Jabez J., Borders, William A., Ryan, Jason T., Talatchian, Philippe, Ebels, Ursula, Madhavan, Advait
Though exponential distributions are ubiquitous in statistical physics and related computational models, directly sampling them from device behavior is rarely done. The superparamagnetic tunnel junction (SMTJ), a key device in probabilistic computing
Externí odkaz:
http://arxiv.org/abs/2412.10317
We introduce Simultaneous Weighted Preference Optimization (SWEPO), a novel extension of Direct Preference Optimization (DPO) designed to accommodate multiple dynamically chosen positive and negative responses for each query. SWEPO employs a weighted
Externí odkaz:
http://arxiv.org/abs/2412.04628
Autor:
Varun, Yerram, Madhavan, Rahul, Addepalli, Sravanti, Suggala, Arun, Shanmugam, Karthikeyan, Jain, Prateek
Publikováno v:
Varun, Y., Madhavan, R., Addepalli, S., Suggala, A., Shanmugam, K., & Jain, P. Time-Reversal Provides Unsupervised Feedback to LLMs. In The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Large Language Models (LLMs) are typically trained to predict in the forward direction of time. However, recent works have shown that prompting these models to look back and critique their own generations can produce useful feedback. Motivated by thi
Externí odkaz:
http://arxiv.org/abs/2412.02626
We show that ultrafast optical pump pulses provide effective control over charge orders in the kagome metals $A$V$_3$Sb$_5$ with $A=$ K, Rb, and Cs. Starting from the real charge density waves (rCDWs) at the $p$-type Van Hove singularity, we conduct
Externí odkaz:
http://arxiv.org/abs/2411.10447
Autor:
Chai, Wenhao, Song, Enxin, Du, Yilun, Meng, Chenlin, Madhavan, Vashisht, Bar-Tal, Omer, Hwang, Jeng-Neng, Xie, Saining, Manning, Christopher D.
Video detailed captioning is a key task which aims to generate comprehensive and coherent textual descriptions of video content, benefiting both video understanding and generation. In this paper, we propose AuroraCap, a video captioner based on a lar
Externí odkaz:
http://arxiv.org/abs/2410.03051
Tactile sensing is a powerful means of implicit communication between a human and a robot assistant. In this paper, we investigate how tactile sensing can transcend cross-embodiment differences across robotic systems in the context of collaborative m
Externí odkaz:
http://arxiv.org/abs/2409.14896
Autor:
Verma, Apurv, Krishna, Satyapriya, Gehrmann, Sebastian, Seshadri, Madhavan, Pradhan, Anu, Ault, Tom, Barrett, Leslie, Rabinowitz, David, Doucette, John, Phan, NhatHai
Creating secure and resilient applications with large language models (LLM) requires anticipating, adjusting to, and countering unforeseen threats. Red-teaming has emerged as a critical technique for identifying vulnerabilities in real-world LLM impl
Externí odkaz:
http://arxiv.org/abs/2407.14937
In this work, we describe a novel approach to building a neural PDE solver leveraging recent advances in transformer based neural network architectures. Our model can provide solutions for different values of PDE parameters without any need for retra
Externí odkaz:
http://arxiv.org/abs/2407.06209