Openinterp 45 Inference Ensemble: Multi-Probe LLM Answer Detection

An inference-time ensemble combining FabricationGuard and ReasonGuard probes applied to the Qwen3.6-27B model. The dataset likely contains performance metrics validating the ensemble approach, which reportedly achieved a +6.7 percentage point AUROC improvement over the best single probe. It was created by author caiovicentino1 and last updated on April 30, 2026.

Use Cases

• Evaluating the performance of multi-probe ensembles for LLM answer verification based on the described AUROC metric.
• Benchmarking inference-time overhead for safety probes based on the reported 0.18 ms and 148 ms latency figures.
• Developing middleware products for AI safety based on the described 'ProbePack' product angle.
• Comparing fusion strategies for different guardrails (FabricationGuard + ReasonGuard) as mentioned in the description.

Strengths

• Reports a specific performance gain of +6.7 percentage points AUROC over a single probe.
• Quantifies inference overhead with two concrete latency figures: 0.18 ms and 148 ms.
• Describes a validated product angle ('ProbePack') for shipping probe ensembles.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description is technical and brief; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Likely contains results from applying an inference-time probe ensemble to a base LLM.

Time Range

null

Freshness

Last updated 2026-04-30 21:02:49; freshness should be verified.

Geography

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