7 papers
Runtime-Structured Task Decomposition for Agentic Coding Systems
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
Agentic coding systems increasingly use large language models (LLMs) for software engineering tasks such as debugging, root cause analysis, and code review. However, many existing…
Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation
Saurabh Jha, Rohan Arora, Bhavya +7
LLM agents excel when environments are mostly static and the needed information fits in a model's context window, but they often fail in open-ended investigations where explanation…
STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable mul…
FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization
Ngoc Phuoc An Vo, Manish Kesarwani, Ruchi Mahindru +1
FinOps (Finance + Operations) represents an operational framework and cultural practice which maximizes cloud business value through collaborative financial accountability across e…
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…
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…