Zobrazeno 1 - 10
of 2 895
pro vyhledávání: '"Sikka, P."'
Vision-language-action (VLA) models represent a promising direction for developing general-purpose robotic systems, demonstrating the ability to combine visual understanding, language comprehension, and action generation. However, systematic evaluati
Externí odkaz:
http://arxiv.org/abs/2411.05821
Autor:
Bajaj, Bhavuk Sikka
This study addresses the use of Reed-Solomon error correction codes in QR codes to enhance resilience against failures. To fully grasp this approach, a basic cryptographic context is provided, necessary for understanding Reed-Solomon codes. The study
Externí odkaz:
http://arxiv.org/abs/2407.17364
Large language model (LLM) chatbots are susceptible to biases and hallucinations, but current evaluations of mental wellness technologies lack comprehensive case studies to evaluate their practical applications. Here, we address this gap by introduci
Externí odkaz:
http://arxiv.org/abs/2407.11387
Large Visual Language Models (LVLMs) struggle with hallucinations in visual instruction following task(s), limiting their trustworthiness and real-world applicability. We propose Pelican -- a novel framework designed to detect and mitigate hallucinat
Externí odkaz:
http://arxiv.org/abs/2407.02352
In recent years, digital platform companies have faced increasing challenges in managing customer complaints, driven by widespread consumer adoption. This paper introduces an end-to-end pipeline, named RE-GrievanceAssist, designed specifically for re
Externí odkaz:
http://arxiv.org/abs/2404.18963
Marketing is one of the high-cost activities for any online platform. With the increase in the number of customers, it is crucial to understand customers based on their dynamic behaviors to design effective marketing strategies. Customer segmentation
Externí odkaz:
http://arxiv.org/abs/2404.17177
We propose an end-to-end real-estate recommendation system, RE-RecSys, which has been productionized in real-world industry setting. We categorize any user into 4 categories based on available historical data: i) cold-start users; ii) short-term user
Externí odkaz:
http://arxiv.org/abs/2404.16553
Autor:
Deng, Naihao, Sun, Zhenjie, He, Ruiqi, Sikka, Aman, Chen, Yulong, Ma, Lin, Zhang, Yue, Mihalcea, Rada
In this paper, we investigate the effectiveness of various LLMs in interpreting tabular data through different prompting strategies and data formats. Our analyses extend across six benchmarks for table-related tasks such as question-answering and fac
Externí odkaz:
http://arxiv.org/abs/2402.12424
Autor:
Bennie, Callum, Casey, Bridget, Paris, Cecile, Kulic, Dana, Tidd, Brendan, Lawrance, Nicholas, Pitt, Alex, Talbot, Fletcher, Williams, Jason, Howard, David, Sikka, Pavan, Senaratne, Hashini
This article presents an implementation of a natural-language speech interface and a haptic feedback interface that enables a human supervisor to provide guidance to, request information, and receive status updates from a Spot robot. We provide insig
Externí odkaz:
http://arxiv.org/abs/2401.13903
Autor:
Rebol, Manuel, Pietroszek, Krzysztof, Ranniger, Claudia, Hood, Colton, Rutenberg, Adam, Sikka, Neal, Guetl, Christian
Publikováno v:
Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 2023)
We present the design of a mixed reality (MR) telehealth training system that aims to close the gap between in-person and distance training and re-training for medical procedures. Our system uses real-time volumetric capture as a means for communicat
Externí odkaz:
http://arxiv.org/abs/2312.09382