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.
Overview
AGI progress requires benchmarks that measure real capability—and remain comparable as models, languages, and modalities change.
LILT designs language- and culture-aware benchmark frameworks that surface failure modes invisible in monolingual testing and deliver decision-grade signals across regions and time.
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.
