Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts

arXiv — cs.CL•Tuesday, October 28, 2025 at 4:00:00 AM

Recent research highlights the limitations of large language models (LLMs) in handling long and complex contexts for effective question answering. Despite advancements like retrieval-augmented generation and chunk-based re-ranking, these methods still face challenges related to chunking and retrieval strategies. Understanding these limitations is crucial as it informs future developments in AI, ensuring that language models can better assist users in navigating intricate information.

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