1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2026
PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
Guangzhi Wang, Xiaohui Yang, Kai Li +4
As retrieval models converge on generic benchmarks, the pressing question is no longer "who scores higher" but rather "where do systems fail, and why?" Person-job matching is a dom…
cs.CL2026★ 1 cited
Modular Expert Merging for Biomedical Retrieval
Sameh Khattab, Jean-Philippe Corbeil, Osman Alperen Çinar-Koraş +5
Adapting general-purpose LLMs into domain-specialized dense retrievers typically requires large-scale training on mixed-domain data. We show that merging independently trained doma…