Sarwar ahuja biography sample paper
•
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Junyi Chen, Lu Chi, Bingyue Peng, Zehuan YuanEqual contribution. Corresponding author.
Abstract
Large Language Models (LLMs) have achieved remarkable success in various fields, prompting several studies to explore their potential in recommendation systems. However, these attempts have so far resulted in only modest improvements over traditional recommendation models. Moreover, three critical questions remain under-explored: firstly, the real value of LLMs’ pre-trained weights, often considered to encapsulate world knowledge; secondly, the necessity of fine-tuning for recommendation tasks; lastly, whether LLMs can exhibit the same scalability benefits in recommendation systems as they do in other domains. In this paper, we propose a novel Hierarchical Large Language Model (HLLM) architecture designed to enhance sequential recommendation systems. Our approach employs a two
•
Spatiotemporal mapping of rice acreage and productivity growth in Bangladesh
Manuscript number: PONE-D-23-09867
Title: Spatiotemporal mapping of rice acreage and productivity growth in Bangladesh
Journal: PLOS ONE
Dear Academic Editor,
Thank you for the comments concerning our manuscript. We deeply appreciate your positive evaluation of our work. Those comments are valuable and very helpful. We have read through comments carefully and have made corrections. Please see below; all tasks and revisions taken are shown point-by-point.
Response to Academic Editor comments
Comments #1: Please ensure that your manuscript meets PLOS ONE's style requirements, including those for en samling dokument eller en elektronisk lagring av data naming.
Response to comment #1: We tried to meet the PLOS ONE’s style requirements.
Comments #2: Thank you for submitting the above manuscript to PLOS ONE. During our internal evaluation of the manuscript, we found significant text overlap between your submission and previous work in the [introduction,
•