Zobrazeno 1 - 10
of 451
pro vyhledávání: '"Kumar, Dhruv"'
Autor:
IIITD, Anishka, Sethi, Diksha, Gupta, Nipun, Sharma, Shikhar, Jain, Srishti, Singhal, Ujjwal, Kumar, Dhruv
Large Language Models (LLMs) have significantly transformed the educational landscape, offering new tools for students, instructors, and teaching assistants. This paper investigates the application of LLMs in assisting teaching assistants (TAs) with
Externí odkaz:
http://arxiv.org/abs/2407.16805
Autor:
Garg, Anupam, Raina, Aryaman, Gupta, Aryan, Singh, Jaskaran, Saini, Manav, Iiitd, Prachi, Mehta, Ronit, Oberoi, Rupin, Sharma, Sachin, Jain, Samyak, Tyagi, Sarthak, Arora, Utkarsh, Kumar, Dhruv
This study examines the use of large language models (LLMs) by undergraduate and graduate students for programming assignments in advanced computing classes. Unlike existing research, which primarily focuses on introductory classes and lacks in-depth
Externí odkaz:
http://arxiv.org/abs/2404.04603
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lingual large, pre-trained language models (LLMs) via instruction tuning.
Externí odkaz:
http://arxiv.org/abs/2402.16472
As the text generation capabilities of large language models become increasingly prominent, recent studies have focused on controlling particular aspects of the generated text to make it more personalized. However, most research on controllable text
Externí odkaz:
http://arxiv.org/abs/2402.04914
This study investigates the integration and impact of Large Language Models (LLMs), like ChatGPT, in India's healthcare sector. Our research employs a dual approach, engaging both general users and medical professionals through surveys and interviews
Externí odkaz:
http://arxiv.org/abs/2401.15605
Autor:
Mhasakar, Manas, Sharma, Shikhar, Mehra, Apurv, Venaik, Utkarsh, Singhal, Ujjwal, Kumar, Dhruv, Mittal, Kashish
In this paper, we investigate the potential of Large Language Models (LLMs) to improve English speaking skills. This is particularly relevant in countries like India, where English is crucial for academic, professional, and personal communication but
Externí odkaz:
http://arxiv.org/abs/2401.15595
Conventional class feedback systems often fall short, relying on static, unengaging surveys offering little incentive for student participation. To address this, we present OpineBot, a novel system employing large language models (LLMs) to conduct pe
Externí odkaz:
http://arxiv.org/abs/2401.15589
This study evaluates the effectiveness of various large language models (LLMs) in performing tasks common among undergraduate computer science students. Although a number of research studies in the computing education community have explored the poss
Externí odkaz:
http://arxiv.org/abs/2402.01687
Unified Payments Interface (UPI) is a groundbreaking innovation making waves in digital payment systems in India. It has revolutionised financial transactions by offering enhanced convenience and security. While previous research has primarily focuse
Externí odkaz:
http://arxiv.org/abs/2401.09937
Generating unit tests is a crucial task in software development, demanding substantial time and effort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script generation. This research aims to exper
Externí odkaz:
http://arxiv.org/abs/2312.10622