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Teng-Ruei Chen

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Sensitive-Topic Leakage Through LLM Routing Metadata: Measurement and Mitigation

LLM routers pick a cheap or expensive model per request by its content, and many gateways and some cloud platforms can log that choice with content logging off. We measure this privacy channel beyond token counts, accounting for noisy labels and repeated prompts. We run pre-registered studies on 1.7 million real reques...

Teng-Ruei Chen · 0 citations
Preprint Jul 2026

Resample or Reroute? Recoverable Stopping Debt Without Identified Action Selection

After a weak verifier accepts a large-language-model response, a second call may resample or reroute, but current evidence does not identify when to resample rather than reroute, so stopping debt exists, but current evidence does not identify when to resample rather than reroute.

Teng-Ruei Chen · 0 citations
#machine learning Preprint Aug 2026

Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance

It is found that every one of five epilogue faults -- scale precision, double rounding, multiplication order, output truncation, fused ordering -- moves the output by at most a single bfloat16 spacing, and by exactly one whenever it moves it at all, across 5,880 cells.

Teng-Ruei Chen · 1 citation
#machine learning Preprint Aug 2026

The Integer Alibi: Localizing Cross-Kernel Divergence in INT8-Quantized LLM Inference

Two GPU kernels implementing the same scaled INT8 GEMM interface are usually treated as interchangeable but cross-implementation FP8 GEMM shows a different signature: both the prevalence and the magnitude of differences grow with reduction depth, while the INT8 fraction stays at parts per million and within one spacing...

Teng-Ruei Chen · 2 citations

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