most citedAdaptive PII Mitigation Framework for Large Language Models

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI20251 cited

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Saurabh Jha, Rohan Arora, Yuji Watanabe +40

Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…

cs.LG20252 cited

Adaptive PII Mitigation Framework for Large Language Models

Shubhi Asthana, Ruchi Mahindru, Bing Zhang +1

Artificial Intelligence (AI) faces growing challenges from evolving data protection laws and enforcement practices worldwide. Regulations like GDPR and CCPA impose strict complianc…

cs.CR20251 cited

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications

Shubhi Asthana, Bing Zhang, Ruchi Mahindru +3

The adoption of Large Language Models (LLMs) has revolutionized AI applications but poses significant challenges in safeguarding user privacy. Ensuring compliance with privacy regu…

cs.SE20241 cited

ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement

Oishik Chatterjee, Pooja Aggarwal, Suranjana Samanta +8

In the rapidly evolving landscape of site reliability engineering (SRE), the demand for efficient and effective solutions to manage and resolve issues in site and cloud application…

cs.IR20241 cited

Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support

Paulina Toro Isaza, Michael Nidd, Noah Zheutlin +7

Clients wishing to implement generative AI in the domain of IT Support and AIOps face two critical issues: domain coverage and model size constraints due to model choice limitation…