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5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control

Researchers introduced 5ting, a system for the SemEval-2026 Task 8 (MTRAGEval) that combines BGE-M3 dense retrieval, FAISS indexing, dual-query merged retrieval, and LLM-based reranking with role-separated generation constrained to retrieved evidence. The retriever achieved nDCG@5 of 0.4719 in Task A, and the end-to-end system ranked in Task C with a harmonic score of 0.5597 and RL_F of 0.7692.

read1 min views1 publishedJun 30, 2026
5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control
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[Submitted on 27 Jun 2026]


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Abstract:We introduce 5ting, our system for the SemEval2026 Task 8 (MTRAGEval), which evaluates multi-turn Retrieval Augmented Generation (RAG) systems. Multi turn RAG involves context drift, under specification, and hallucination risk. Our system combines BGE-M3 dense retrieval with FAISS indexing, dual-query merged retrieval, and LLM based reranking, followed by role separated generation constrained to retrieved evidence. The retriever achieved nDCG@5 = 0.4719 in Task A, while the end to end system ranked in Task C with a harmonic score of 0.5597 and RL_F = 0.7692.

Submission history #

From: Thien-Qua T.Nguyen [[view email](/show-email/ac788e84/2606.28737)]

**[v1]** Sat, 27 Jun 2026 05:13:49 UTC (326 KB)

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