Why LILT for AGI benchmarks
The evaluation layer for global scale
LILT integrates into existing model pipelines as the evaluation and readiness layer—no platform replacement required.
Research-designed measurement, not ad hoc scoring
Gold sets and anchors are treated as measurement instruments, with longitudinal agreement tracking to keep benchmark signals stable.
Governed human judgment (not crowdsourced)
A curated evaluator network with multi-stage qualification, continuous verification, and ongoing calibration—so benchmarks don’t drift as programs scale.
What you can benchmark with LILT
Language-grounded alignment
Instruction-following intent fidelity, cultural and normative benchmarking, and ambiguity/disagreement analysis as signal.
Multimodal meaning & perception
Vision-language alignment, cross-modal consistency (text, image, audio), and multimodal safety misinterpretation detection.
Agentic & interactive systems
Agent goal completion, tool-use evaluation, and long-horizon reasoning/memory assessment under real-world task utilization.
Challenges LILT solves
Benchmark results often aren’t comparable across locales because cultural interpretation and rater behavior vary by region.
“One-time” benchmark runs drift over time without calibration, readiness scoring, and disagreement-aware measurement.
How LILT delivers benchmarks
Co-design benchmark suites with your research team: task types, rubrics, anchors, and gold sets aligned to your target capabilities.
Operate the judgment system: continuous calibration, longitudinal agreement tracking, outlier detection, and drift/bias monitoring in-pipeline.
Produce deployment-ready outputs: comparable evaluation signals across languages/regions/time, plus governance artifacts suitable for enterprise accountability.
