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of 18 293
pro vyhledávání: '"Åman A"'
Geometry problem-solving demands advanced reasoning abilities to process multimodal inputs and employ mathematical knowledge effectively. Vision-language models (VLMs) have made significant progress in various multimodal tasks. Yet, they still strugg
Externí odkaz:
http://arxiv.org/abs/2410.13510
Autor:
Dumpala, Sri Harsha, Jaiswal, Aman, Sastry, Chandramouli, Milios, Evangelos, Oore, Sageev, Sajjad, Hassan
Despite the significant influx of prompt-tuning techniques for generative vision-language models (VLMs), it remains unclear how sensitive these models are to lexical and semantic alterations in prompts. In this paper, we evaluate the ability of gener
Externí odkaz:
http://arxiv.org/abs/2410.13030
In an era where societal narratives are increasingly shaped by algorithmic curation, investigating the political neutrality of LLMs is an important research question. This study presents a fresh perspective on quantifying the political neutrality of
Externí odkaz:
http://arxiv.org/abs/2410.09978
Autor:
Pandey, Aman, Kundu, Chanchal
Nair and Sathar (2020) introduced a new metric for uncertainty known as dynamic failure extropy, focusing on the analysis of past lifetimes. In this study, we extend this concept to a bivariate context, exploring various properties associated with th
Externí odkaz:
http://arxiv.org/abs/2410.09882
Autor:
Arora, Riya, Narendranath, Niveditha, Tambi, Aman, Zachariah, Sandeep S., Chakraborty, Souvik, Paul, Rohan
Consider the scenario where a human cleans a table and a robot observing the scene is instructed with the task "Remove the cloth using which I wiped the table". Instruction following with temporal reasoning requires the robot to identify the relevant
Externí odkaz:
http://arxiv.org/abs/2410.07494
Autor:
Couperus, Andrew A., Henry, Todd J., Osten, Rachel A., Jao, Wei-Chun, Vrijmoet, Eliot Halley, Kar, Aman, Horch, Elliott
We present an investigation into the rotation and stellar activity of four fully convective M dwarf `twin' wide binaries. Components in each pair have (1) astrometry confirming they are common-proper-motion binaries, (2) Gaia $BP$, $RP$, and 2MASS $J
Externí odkaz:
http://arxiv.org/abs/2410.04726
Autor:
Suresh, Suryavardan, Rani, Anku, Patwa, Parth, Reganti, Aishwarya, Jain, Vinija, Chadha, Aman, Das, Amitava, Sheth, Amit, Ekbal, Asif
Researchers have found that fake news spreads much times faster than real news. This is a major problem, especially in today's world where social media is the key source of news for many among the younger population. Fact verification, thus, becomes
Externí odkaz:
http://arxiv.org/abs/2410.04236
In various applications, the multivariate time series often suffers from missing data. This issue can significantly disrupt systems that rely on the data. Spatial and temporal dependencies can be leveraged to impute the missing samples. Existing impu
Externí odkaz:
http://arxiv.org/abs/2410.03954
Autor:
Rahman, Md Maklachur, Tutul, Abdullah Aman, Nath, Ankur, Laishram, Lamyanba, Jung, Soon Ki, Hammond, Tracy
Mamba is emerging as a novel approach to overcome the challenges faced by Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in computer vision. While CNNs excel at extracting local features, they often struggle to capture long-range
Externí odkaz:
http://arxiv.org/abs/2410.03105
Large Language Models (LLMs), known for their versatility in textual data, are increasingly being explored for their potential to enhance medical image segmentation, a crucial task for accurate diagnostic imaging. This study explores enhancing Vision
Externí odkaz:
http://arxiv.org/abs/2410.02458