4 papers
REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
Priyanka Mudgal
Evaluating log summarization systems is challenging due to the lack of high-quality reference summaries and the limitations of existing metrics like ROUGE and BLEU, which depend on…
Variable Rate Image Compression via N-Gram Context based Swin-transformer
Priyanka Mudgal
This paper presents an N-gram context-based Swin Transformer for learned image compression. Our method achieves variable-rate compression with a single model. By incorporating N-gr…
Enhancing Learned Image Compression via Cross Window-based Attention
Priyanka Mudgal, Feng Liu
In recent years, learned image compression methods have demonstrated superior rate-distortion performance compared to traditional image compression methods. Recent methods utilize…
CrashEventLLM: Predicting System Crashes with Large Language Models
Priyanka Mudgal, Bijan Arbab, Swaathi Sampath Kumar
As the dependence on computer systems expands across various domains, focusing on personal, industrial, and large-scale applications, there arises a compelling need to enhance thei…