Zobrazeno 1 - 10
of 24 134
pro vyhledávání: '"A. Thakkar"'
Autor:
Thakkar, Megh, More, Yash, Fournier, Quentin, Riemer, Matthew, Chen, Pin-Yu, Zouaq, Amal, Das, Payel, Chandar, Sarath
There is a growing interest in training domain-expert LLMs that excel in specific technical fields compared to their general-purpose instruction-tuned counterparts. However, these expert models often experience a loss in their safety abilities in the
Externí odkaz:
http://arxiv.org/abs/2411.06824
Autor:
Thakkar, Param, Yadav, Anushka
This paper describes a highly developed personalised recommendation system using multimodal, autonomous, multi-agent systems. The system focuses on the incorporation of futuristic AI tech and LLMs like Gemini-1.5- pro and LLaMA-70B to improve custome
Externí odkaz:
http://arxiv.org/abs/2410.19855
Large ASR models can inadvertently leak sensitive information, which can be mitigated by formal privacy measures like differential privacy (DP). However, traditional DP training is computationally expensive, and can hurt model performance. Our study
Externí odkaz:
http://arxiv.org/abs/2410.01948
Self-supervised learning (SSL) methods for large speech models have proven to be highly effective at ASR. With the interest in public deployment of large pre-trained models, there is a rising concern for unintended memorization and leakage of sensiti
Externí odkaz:
http://arxiv.org/abs/2409.13953
Autor:
Thakkar, Chandni
In this article, we study a restricted mixed ray transform acting on second-order tensor fields in 3-dimensional Euclidean space and prove the invertibility of this integral transform using microlocal techniques. Here, the mixed ray transform is rest
Externí odkaz:
http://arxiv.org/abs/2409.09341
Autor:
Behera, Nihar Ranjan, Kanakati, Arun Kumar, Thakkar, Pratikkumar, Payra, Siddhartha Sankar, Dutta, Saurav, Barik, Saroj, Lenka, Yash, Aravind, G
Due to the absorption of high energetic ultraviolet (UV) photons by the surface layers of the cold molecular clouds, only low energetic photons are able to penetrate into the inner regions of these clouds. This leads to lower photo-ionization yield o
Externí odkaz:
http://arxiv.org/abs/2409.08590
In this paper, we introduce SoloAudio, a novel diffusion-based generative model for target sound extraction (TSE). Our approach trains latent diffusion models on audio, replacing the previous U-Net backbone with a skip-connected Transformer that oper
Externí odkaz:
http://arxiv.org/abs/2409.08425
Autor:
Patel, Kinjal, Thakkar, Kaushal
In this study, we have investigated the radiative and semileptonic decay of doubly heavy baryons. Our focus is to determine the static and dynamic properties such as ground state masses, magnetic moment, transition magnetic moment, radiative decay an
Externí odkaz:
http://arxiv.org/abs/2408.00335
Autor:
Zhang, Yuchen, Jha, Ratish Kumar Chandrakant, Bharadwaj, Soumya, Thakkar, Vatsal Sanjaykumar, Hoarfrost, Adrienne, Sun, Jin
Predicting gene function from its DNA sequence is a fundamental challenge in biology. Many deep learning models have been proposed to embed DNA sequences and predict their enzymatic function, leveraging information in public databases linking DNA seq
Externí odkaz:
http://arxiv.org/abs/2407.15888
Autor:
Maddila, Chandra, Ghorbani, Negar, Jabre, Kosay, Murali, Vijayaraghavan, Kim, Edwin, Thakkar, Parth, Laptev, Nikolay Pavlovich, Harman, Olivia, Hsu, Diana, Abreu, Rui, Rigby, Peter C.
SqlCompose brings generative AI into the data analytics domain. SQL is declarative, has formal table schemas, and is often written in a non-linear manner. We address each of these challenges and develop a set of models that shows the importance of ea
Externí odkaz:
http://arxiv.org/abs/2407.13280