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Autor:
Shanmugam, Divya, Agrawal, Monica, Movva, Rajiv, Chen, Irene Y., Ghassemi, Marzyeh, Pierson, Emma
The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees.
Externí odkaz:
http://arxiv.org/abs/2412.10337
Autor:
Eslaminia, Ahmadreza, Jackson, Adrian, Tian, Beitong, Stern, Avi, Gordon, Hallie, Malhotra, Rajiv, Nahrstedt, Klara, Shao, Chenhui
Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applications in a variety of industries including healthcare and aerospace. Recent developments have made affo
Externí odkaz:
http://arxiv.org/abs/2412.09819
Autor:
Anand, Avinash, Prasad, Kritarth, Kirtani, Chhavi, Nair, Ashwin R, Gupta, Mohit, Garg, Saloni, Gautam, Anurag, Buldeo, Snehal, Shah, Rajiv Ratn
Large Language Models (LLMs) have demonstrated strong capabilities in text-based tasks but struggle with the complex reasoning required for physics problems, particularly in advanced arithmetic and conceptual understanding. While some research has ex
Externí odkaz:
http://arxiv.org/abs/2412.06827
Autor:
Addala, Krishnasai, Baghel, Kabir Dev Paul, Jain, Dhruv, Kirtani, Chhavi, Anand, Avinash, Shah, Rajiv Ratn
This study explores the effectiveness of using knowledge graphs generated by large language models to decompose high school-level physics questions into sub-questions. We introduce a pipeline aimed at enhancing model response quality for Question Ans
Externí odkaz:
http://arxiv.org/abs/2412.05453
Autor:
Addala, Krishnasai, Baghel, Kabir Dev Paul, Kirtani, Chhavi, Anand, Avinash, Shah, Rajiv Ratn
Few shot and Chain-of-Thought prompting have shown promise when applied to Physics Question Answering Tasks, but are limited by the lack of mathematical ability inherent to LLMs, and are prone to hallucination. By utilizing a Mixture of Experts (MoE)
Externí odkaz:
http://arxiv.org/abs/2412.05023
We spatially resolve photocarrier dynamics in halide perovskites using time-resolved electrostatic force microscopy (trEFM) to map surface potential equilibration during photoexcitation. Following treatment with different surface passivation agents,
Externí odkaz:
http://arxiv.org/abs/2412.04423
We provide space complexity lower bounds for data structures that approximate logistic loss up to $\epsilon$-relative error on a logistic regression problem with data $\mathbf{X} \in \mathbb{R}^{n \times d}$ and labels $\mathbf{y} \in \{-1,1\}^d$. Th
Externí odkaz:
http://arxiv.org/abs/2412.02639