34 citations · 38 across the 5 of their papers we have counts for
5 papers
Transformer based time series prediction of the maximum power point for solar photovoltaic cells
Palaash Agrawal, Hari Om Bansal, Aditya R. Gautam +2
This paper proposes an improved deep learning based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series based environmental inputs. Gene…
Super Tiny Language Models
Dylan Hillier, Leon Guertler, Cheston Tan +3
The rapid advancement of large language models (LLMs) has led to significant improvements in natural language processing but also poses challenges due to their high computational a…
Can LLMs perform structured graph reasoning?
Palaash Agrawal, Shavak Vasania, Cheston Tan
Pretrained Large Language Models (LLMs) have demonstrated various reasoning capabilities through language-based prompts alone, particularly in unstructured task settings (tasks pur…
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Palaash Agrawal, Cheston Tan, Heena Rathore
Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist open problems and fundamental shortcomings related to performance and resource effi…
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
Palaash Agrawal, Haidi Azaman, Cheston Tan
Understanding relations between objects is crucial for understanding the semantics of a visual scene. It is also an essential step in order to bridge visual and language models. Ho…