FreeCite: A Judge-Free Benchmark for Granular Citation Evaluation in Large Language Models
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Updated
Feb 22, 2026 - Python
FreeCite: A Judge-Free Benchmark for Granular Citation Evaluation in Large Language Models
As of 07/09/2026 the only open-source PT-PT benchmark that avoids LLM judges and targets email-style structured generation. Deterministic CPU-friendly benchmark for European Portuguese (PT-PT) email LLMs. No LLM judges.
AI-assisted policy formalization and governance platform for source-traceable rule extraction, human review, immutable versioning, deterministic evaluation, quality analysis, and regression testing.
Public, fully local PoCs for counterfactually auditable lifecycle certification: exact paired replay, drift monitoring, post-drift replanning, and bridge-aware ledger control on synthetic tasks.
Hybrid legal RAG and LLM extraction with JSON Schema rule compilation, three-valued logic, Census/TIGER geocoding, and deterministic evaluation.
Deterministic multi-lane evaluation domain for SnorkelAI Terminus3. Cockpit, lane orchestration, agent benchmarking, reasoning-drift detection.
SnorkelAI Terminus2 task suite with deterministic evaluators, Dockerized environments, and reproducible agent-benchmarking primitives.
Core deterministic architecture for multi-lane ML evaluation systems. Foundational logic, capsule interfaces, reproducible execution patterns.
Deterministic offline ComtradeBench judge for evaluating agent robustness under pagination, retries, duplicates, page drift, and totals traps.
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