Taxonomy-Aware Hybrid Retrieval with Bounded LLM Reranking for TalentCLEF 2026 Task A

TL;DR

The results suggest that a strong retrieval backbone makes bounded LLM reranking safer, with the largest benefit in the cross-lingual setting, and that ESCO graph evidence works best in the submitted system as a calibration signal within that retrieval-first design.