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cs.AI2026
A Systematic Approach for Large Language Models Debugging
Basel Shbita, Anna Lisa Gentile, Bing Zhang +10
Large language models (LLMs) have become central to modern AI workflows, powering applications from open-ended text generation to complex agent-based reasoning. However, debugging…
cs.AI2026
LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
Farhan Ahmed, Yuya Jeremy Ong, Chad DeLuca
Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deployment. However, traditional evaluation approaches provide limited insi…