Zobrazeno 1 - 10
of 96 814
pro vyhledávání: '"A, Murthy"'
Researchers in social science and psychology have recently proposed using large language models (LLMs) as replacements for humans in behavioral research. In addition to arguments about whether LLMs accurately capture population-level patterns, this h
Externí odkaz:
http://arxiv.org/abs/2411.04427
Does learning of task-relevant representations stop when behavior stops changing? Motivated by recent theoretical advances in machine learning and the intuitive observation that human experts continue to learn from practice even after mastery, we hyp
Externí odkaz:
http://arxiv.org/abs/2411.03541
Autor:
Verma, Sshubam, Khan, Mohammed Safi Ur Rahman, Kumar, Vishwajeet, Murthy, Rudra, Sen, Jaydeep
Evaluating Large Language Models (LLMs) in low-resource and linguistically diverse languages remains a significant challenge in NLP, particularly for languages using non-Latin scripts like those spoken in India. Existing benchmarks predominantly focu
Externí odkaz:
http://arxiv.org/abs/2411.02538
The Ultra Violet Imaging Telescope (UVIT) onboard India's first dedicated multiwavelength satellite \textit{AstroSat} observed a significant fraction of the sky in the ultraviolet with a spatial resolution of 1.4\arcsec. We present a catalog of the p
Externí odkaz:
http://arxiv.org/abs/2411.01809
Autor:
Liu, Zhiwei, Yao, Weiran, Zhang, Jianguo, Murthy, Rithesh, Yang, Liangwei, Liu, Zuxin, Lan, Tian, Zhu, Ming, Tan, Juntao, Kokane, Shirley, Hoang, Thai, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
We introduce the Principled Reasoning and Acting (PRAct) framework, a novel method for learning and enforcing action principles from trajectory data. Central to our approach is the use of text gradients from a reflection and optimization engine to de
Externí odkaz:
http://arxiv.org/abs/2410.18528
The performance of a text-to-speech (TTS) synthesis model depends on various factors, of which the quality of the training data is of utmost importance. Millions of data are collected around the globe for various languages, but resources for Indian l
Externí odkaz:
http://arxiv.org/abs/2410.14197
In this work, we focus our attention on developing a benchmark for instruction-following where it is easy to verify both task performance as well as instruction-following capabilities. We adapt existing knowledge benchmarks and augment them with inst
Externí odkaz:
http://arxiv.org/abs/2410.12972
This paper compares scale-invariant (SIFT) and scale-variant (ORB) feature detection methods, alongside our novel feature detector, IntFeat, specifically applied to lunar imagery. We evaluate these methods using low (128x128) and high-resolution (102
Externí odkaz:
http://arxiv.org/abs/2410.11118
Autor:
Pathak, Utkarsh, Gunda, Chandra Sai Krishna, Sathiyamoorthy, Sujitha, Agarwal, Keshav, Murthy, Hema A.
India has 1369 languages of which 22 are official. About 13 different scripts are used to represent these languages. A Common Label Set (CLS) was developed based on phonetics to address the issue of large vocabulary of units required in the End to En
Externí odkaz:
http://arxiv.org/abs/2410.10508
Recent advancements in learned 3D representations have enabled significant progress in solving complex robotic manipulation tasks, particularly for rigid-body objects. However, manipulating granular materials such as beans, nuts, and rice, remains ch
Externí odkaz:
http://arxiv.org/abs/2410.09740