Feb. 29, 2024, 5:47 a.m. | Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.17882v1 Announce Type: new
Abstract: Many existing end-to-end systems for hybrid question answering tasks can often be boiled down to a "prompt-and-pray" paradigm, where the user has limited control and insight into the intermediate reasoning steps used to achieve the final result. Additionally, due to the context size limitation of many transformer-based LLMs, it is often not reasonable to expect that the full structured and unstructured context will fit into a given prompt in a zero-shot setting, let alone a …

algebra arxiv cs.cl hybrid question question answering relational scalable type

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