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This paper presents 5ting, a system for multi-turn Retrieval-Augmented Generation (RAG) that combines BGE-M3 dense retrieval, FAISS indexing, LLM-based reranking, and evidence-constrained generation. The system achieves strong results on SemEval-2026 Task 8, with a retrieval nDCG@5 of 0.4719 and an end-to-end harmonic score of 0.5597.
SwanNLP presents an LLM-based framework for plausibility scoring in narrative word sense disambiguation at SemEval-2026 Task 5, using structured reasoning and dynamic few-shot prompting to predict human-perceived plausibility of word senses in short stories. The work demonstrates that commercial large-parameter LLMs with few-shot prompting and model ensembling effectively replicate human judgment patterns in realistic narrative contexts.