Zobrazeno 1 - 10
of 1 557
pro vyhledávání: '"Kannappan, P."'
Retrieval Augmented Generation (RAG) techniques aim to mitigate hallucinations in Large Language Models (LLMs). However, LLMs can still produce information that is unsupported or contradictory to the retrieved contexts. We introduce LYNX, a SOTA hall
Externí odkaz:
http://arxiv.org/abs/2407.08488
Autor:
Carr, Derrick S., Kannappan, Sheila J., Norris, Mark A., Sinha, Manodeep, Palumbo III, Michael L., Eckert, Kathleen D., Moffett, Amanda J., Polimera, Mugdha S., Bernstein, Joel I., Hutchens, Zackary L.
We present a complete census of candidate nuggets, i.e., dense galaxies likely formed by compaction with intense gas influx, within the volume-limited $z \sim 0$ REsolved Spectroscopy Of a Local VolumE (RESOLVE) survey. These nuggets span all evoluti
Externí odkaz:
http://arxiv.org/abs/2406.04547
Autor:
Surya, Ramakrishna, Koerner, Gordon L., Hajilounezhad, Taher, Safavigerdin, Kaveh, Calyam, Prasad, Bunyak, Filiz, Palaniappan, Kannappan, Maschmann, Matthew R.
Understanding the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological promise. Here, in-situ environmental scanning electron microscope (ESEM) chemical vapor deposition (CVD) synthesis observe
Externí odkaz:
http://arxiv.org/abs/2402.19336
FinanceBench is a first-of-its-kind test suite for evaluating the performance of LLMs on open book financial question answering (QA). It comprises 10,231 questions about publicly traded companies, with corresponding answers and evidence strings. The
Externí odkaz:
http://arxiv.org/abs/2311.11944
Autor:
Vidgen, Bertie, Scherrer, Nino, Kirk, Hannah Rose, Qian, Rebecca, Kannappan, Anand, Hale, Scott A., Röttger, Paul
The past year has seen rapid acceleration in the development of large language models (LLMs). However, without proper steering and safeguards, LLMs will readily follow malicious instructions, provide unsafe advice, and generate toxic content. We intr
Externí odkaz:
http://arxiv.org/abs/2311.08370
Autor:
Safavigerdini, Kaveh, Nouduri, Koundinya, Surya, Ramakrishna, Reinhard, Andrew, Quinlan, Zach, Bunyak, Filiz, Maschmann, Matthew R., Palaniappan, Kannappan
We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)-based materials discovery. Our approach incorporates an innovative data
Externí odkaz:
http://arxiv.org/abs/2307.07912
Autor:
Soltanikazemi, Elham, Dhakal, Ashwin, Hatuwal, Bijaya Kumar, Toubal, Imad Eddine, Aboah, Armstrong, Palaniappan, Kannappan
Publikováno v:
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
This research focuses on real-time surveillance systems as a means for tackling the issue of non-compliance with helmet regulations, a practice that considerably amplifies the risk for motorcycle drivers or riders. Despite the well-established advant
Externí odkaz:
http://arxiv.org/abs/2304.09248
Autor:
Janani Balakarthikeyan, Vijayakumar Mayakrishnan, Priya Kannappan, Sameer Al-Ghamdi, Naif Abdurhman Alrudian, Mohammed Saad Alqahtani, Mahmoud H. El-Bidawy, Khalid Albasheer, Sahar Gamil, Nesreen Alsanousi, Thiyagarajan Ramesh
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 7, Pp 103261- (2024)
The target specificity of drug-loaded nanoparticles can be increased by coating them with ligands that can bind to the target receptors overexpressed on the surface of cancer cells. The purpose of the current study was to examine the potential therap
Externí odkaz:
https://doaj.org/article/08be064b1f56410cabd3dee3f3527ddf
Publikováno v:
Journal of Medical Evidence, Vol 5, Iss 1, Pp 10-17 (2024)
Background: The cytological analysis of body fluids is the preliminary investigation performed for the diagnostic evaluation of body fluids, helping the physician make the diagnosis and plan proper treatment. The International System for Reporting Se
Externí odkaz:
https://doaj.org/article/dd6da17e2f7f4b6ca6a274f037da8daa
Autor:
Jayaprakash Meena, N. Kumaraguru, N. Sami veerappa, Paik-kyun Shin, Jiro Tatsugi, Annamalai Senthil Kumar, Kannappan Santhakumar
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Nanobiotechnology is a unique class of multiphase and recently become a branch of contemporary science and a paradigm shift in material research. One of the two main problems facing the field of nanomaterial synthesis is the discovery of new
Externí odkaz:
https://doaj.org/article/1915c0aa85f746e583812655c272a31c