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Peng-Fei Chen

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Preprint Aug 2026

TELLER: Non-intrusive Cross-Layer Root-Cause Analysis for LLM Inference

TELLER is presented, a non-intrusive Trace- and Log-aware LLM inference Root-cause analysis framework that combines numeric candidate localization with a multimodal root-cause model that jointly predicts abnormal steps, localizes suspicious operators, and generates natural-language explanations.

Ruilin Xu, Junyi Li, Peng-Fei Chen et al. · 1 citation
Aug 2026

SLOPE: Fine-Grained Log Parser Combining Syntax with LLM-Distilled Semantic

This work proposes SLOPE, a fine-grained log parser combining syntax with semantics, which achieves an average parsing accuracy improvement of 61.2% and 5.9 times higher throughput over all baselines, exhibiting state-of-the-art robustness.

Shu-Ting Lai, Haiyu Huang, Peng-Fei Chen et al. · 0 citations

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