Zobrazeno 1 - 10
of 87
pro vyhledávání: '"JAIN, SAMYAK"'
Autor:
Pahilajani, Anish, Trivedi, Devasha, Shuai, Jincen, Yone, Khin S., Jain, Samyak Rajesh, Park, Namyong, Rossi, Ryan A., Ahmed, Nesreen K., Dernoncourt, Franck, Wang, Yu
Large Language Models (LLMs) have excelled in multi-hop question-answering (M-QA) due to their advanced reasoning abilities. However, the impact of the inherent reasoning structures on LLM M-QA performance remains unclear, largely due to the absence
Externí odkaz:
http://arxiv.org/abs/2411.00369
Graph distillation has emerged as a promising avenue to enable scalable training of GNNs by compressing the training dataset while preserving essential graph characteristics. Our study uncovers significant shortcomings in current graph distillation t
Externí odkaz:
http://arxiv.org/abs/2410.17579
Autor:
Jain, Samyak, Bhagwat, A.
Tunneling half lives are obtained in a minimalistic deformation picture of nuclear decays. As widely documented in other deformation models, one finds that the effective mass of the nucleus changes with the deformation parameter. However, contrary to
Externí odkaz:
http://arxiv.org/abs/2408.14570
Autor:
Jain, Samyak, Lubana, Ekdeep Singh, Oksuz, Kemal, Joy, Tom, Torr, Philip H. S., Sanyal, Amartya, Dokania, Puneet K.
Safety fine-tuning helps align Large Language Models (LLMs) with human preferences for their safe deployment. To better understand the underlying factors that make models safe via safety fine-tuning, we design a synthetic data generation framework th
Externí odkaz:
http://arxiv.org/abs/2407.10264
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
This paper presents our submission to the SemEval 2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure. We present two approaches to solving the task of legal answer validation, given an introduction to the case, a question and an answer
Externí odkaz:
http://arxiv.org/abs/2404.03150
Autor:
Jain, Samyak, Bhagwat, A.
A geometrical analysis of the stability of nuclei against deformations is presented. In particular, we use Catastrophe Theory to illustrate discontinuous changes in the behavior of nuclei with respect to deformations as one moves in the N - Z space.
Externí odkaz:
http://arxiv.org/abs/2311.14293
Autor:
Jain, Samyak, Kirk, Robert, Lubana, Ekdeep Singh, Dick, Robert P., Tanaka, Hidenori, Grefenstette, Edward, Rocktäschel, Tim, Krueger, David Scott
Fine-tuning large pre-trained models has become the de facto strategy for developing both task-specific and general-purpose machine learning systems, including developing models that are safe to deploy. Despite its clear importance, there has been mi
Externí odkaz:
http://arxiv.org/abs/2311.12786
Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions. Recent deep learning advances have utilized patient time series data, and fusion models hav
Externí odkaz:
http://arxiv.org/abs/2311.07180
Cryptocurrency is a form of digital currency using cryptographic techniques in a decentralized system for secure peer-to-peer transactions. It is gaining much popularity over traditional methods of payments because it facilitates a very fast, easy an
Externí odkaz:
http://arxiv.org/abs/2307.15956