Zobrazeno 1 - 10
of 17 900
pro vyhledávání: '"A, Gopi"'
This research presents and compares multiple approaches to automate the generation of literature reviews using several Natural Language Processing (NLP) techniques and retrieval-augmented generation (RAG) with a Large Language Model (LLM). The ever-i
Externí odkaz:
http://arxiv.org/abs/2411.18583
Matrix concentration inequalities, intimately connected to the Non-Commutative Khintchine inequality, have been an important tool in both applied and pure mathematics. We study tensor versions of these inequalities, and establish non-asymptotic inequ
Externí odkaz:
http://arxiv.org/abs/2411.10633
The rapid expansion of foundation models (FMs), such as large language models (LLMs), has given rise to FMware--software systems that integrate FMs as core components. While building demonstration-level FMware is relatively straightforward, transitio
Externí odkaz:
http://arxiv.org/abs/2410.20791
Autor:
Dong, Ximing, Wang, Shaowei, Lin, Dayi, Rajbahadur, Gopi Krishnan, Zhou, Boquan, Liu, Shichao, Hassan, Ahmed E.
Large Language Models excel in tasks like natural language understanding and text generation. Prompt engineering plays a critical role in leveraging LLM effectively. However, LLMs black-box nature hinders its interpretability and effective prompting
Externí odkaz:
http://arxiv.org/abs/2410.13073
Autor:
Agrawal, Aayush, Sikdar, Aniruddh, Makam, Rajini, Sundaram, Suresh, Besai, Suresh Kumar, Gopi, Mahesh
Underwater mine detection with deep learning suffers from limitations due to the scarcity of real-world data. This scarcity leads to overfitting, where models perform well on training data but poorly on unseen data. This paper proposes a Syn2Real (Sy
Externí odkaz:
http://arxiv.org/abs/2410.12953
Autor:
Devanur, Nikhil R., Gopi, Sivakanth
In search and advertisement ranking, it is often required to simultaneously maximize multiple objectives. For example, the objectives can correspond to multiple intents of a search query, or in the context of advertising, they can be relevance and re
Externí odkaz:
http://arxiv.org/abs/2410.12139
Background: Data quality is vital in software analytics, particularly for machine learning (ML) applications like software defect prediction (SDP). Despite the widespread use of ML in software engineering, the effect of data quality antipatterns on t
Externí odkaz:
http://arxiv.org/abs/2408.12560
Bindings for machine learning frameworks (such as TensorFlow and PyTorch) allow developers to integrate a framework's functionality using a programming language different from the framework's default language (usually Python). In this paper, we study
Externí odkaz:
http://arxiv.org/abs/2407.05466
We present logistic dark energy model (LDEM), where the dark energy density follows a logistic function for the scale factor. The equation of state parameter of dark energy ($w_D$) transitioned from $-1$ in the distant past to its current value of $-
Externí odkaz:
http://arxiv.org/abs/2406.18095
Data clones are defined as multiple copies of the same data among datasets. Presence of data clones between datasets can cause issues such as difficulties in managing data assets and data license violations when using datasets with clones to build AI
Externí odkaz:
http://arxiv.org/abs/2407.12802