2 papers
cs.CL2026
Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data
Zhaohua Liang, Zhilin Wang, Renjie Cao +1
Candidate sourcing for recruiters is best viewed as a two-stage retrieval and reranking pipeline with recall as the primary objective under a limited review budget. An upstream pro…
cs.CL2025
ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval
Mingxu Tao, Bowen Tang, Mingxuan Ma +5
The rise of Large Language Models~(LLMs) revolutionizes information retrieval, allowing users to obtain required answers through complex instructions within conversations. However,…