Author

Ram Mohan Rao Kadiyala

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#artificial intelligence Preprint Oct 2026

AuditKIT: A Unified Evaluation Spine for Benchmarking, Judging, and Comparing Large Language Models and Agentic Systems

Evaluating language models and agents requires combining benchmark accuracy, judge-based assessment, runtime performance, tool-use behavior, and retrieval quality. Differences in interfaces, metric semantics, and trace formats complicate these comparisons and can hide failures in agentic workflows. We present AuditKIT,...

Shreeyans Arora, Utsav Avaiya, Zera Lyngkhoi et al. · 0 citations

#machine learning Preprint Oct 2026

AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents

Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing tooling typically addresses these stages in isolation. We present AgentTune, a source-available Python library that provides a unified framework for developing and opti...

R E Zera Marveen Lyngkhoi, Abhivansh Gupta, Vidushee Vats et al. · 0 citations