3 citations · 5 across the 6 of their papers we have counts for
8 papers
MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory
Priyanka Mudgal, Kai Zhao, Guilin Zhang +4
Personal AI agents in enterprise multi-tenant deployments share a common vector store for long-term memory. Shared embedding spaces create a surface for cross-user memory leakage:…
Report: Progressive Disclosure of Agent Skills
Guilin Zhang, Kai Zhao, Priyanka Mudgal +4
Users of Workday's deployed LLM-based agents often request features which can be addressed by defining named procedures, also known as skills, in the LLM context, effectively augme…
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…
Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data
Priyanka Mudgal, Rita H. Wouhaybi
The growing reliance on computer systems, particularly personal computers (PCs), necessitates heightened reliability to uphold user satisfaction. This research paper presents an in…
An Assessment of ChatGPT on Log Data
Priyanka Mudgal, Rita Wouhaybi
Recent development of large language models (LLMs), such as ChatGPT has been widely applied to a wide range of software engineering tasks. Many papers have reported their analysis…