It's About Time: Incorporating Temporality in Retrieval Augmented Language Models

Time-Sensitve Retrieval-Augmented Generation for Question Answering

F Wu, L Liu, W He, Z Liu, Z Zhang, H Wang… - Proceedings of the 33rd …, 2024 - dl.acm.org
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by
accessing external data sources, offering a promising way to improve accuracy and …
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Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems

D Schumacher, F Haji, T Grey, N Bandlamudi… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) often struggle with temporal reasoning, crucial for tasks like
historical event analysis and time-sensitive information retrieval. Despite advancements …
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