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AILS-NTUA at SemEval-2026 Task 8: Evaluating Multi-Turn RAG Conversations

We present the AILS-NTUA system for SemEval-2026 Task 8 (MTRAGEval), addressing all three subtasks of multi-turn retrieval-augmented generation: passage retrieval (A), reference-grounded response generation (B), and end-to-end RAG (C). Our unified architecture is built on two principles: (i) a query-diversity-over-retriever-diversity strategy, where five complementary LLM-based query reformulations are issued to a single corpus-aligned sparse retriever and fused via variance-aware nested Reciprocal Rank Fusion; and (ii) a multistage generation pipeline that decomposes grounded generation into evidence span extraction, dual-candidate drafting, and calibrated multi-judge selection. Our syst...

AuthorsDimosthenis Athanasiou, Maria Lymperaiou, Giorgos Filandrianos et al.
Primary categorycs.CL
Published11 March 2026
Last updated at source11 March 2026
cs.CL
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