Research paper

OpenDC-Infer-LC: Benchmarking Production-Valid Long-Context and RAG LLM Serving

Published by Association for Computational LinguisticsOct 2026PDF

Compare serving performance under realistic loads for systems that combine long context with retrieved documents.

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Yue Yang, Maxwell Twelftree, Jared Collette, An-Chi He, Luke Borgnolo, David Lemphers. OpenDC-Infer-LC: Benchmarking Production-Valid Long-Context and RAG LLM Serving. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. © 2026 Association for Computational Linguistics. CC BY 4.0. 10.18653/2026.emnlp-industry.64. Original PDF, unmodified.

CC BY 4.0