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cs.CL2025
Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
Dingmin Wang, Ji Ma, Shankar Kumar
The success of expanded context windows in Large Language Models (LLMs) has driven increased use of broader context in retrieval-augmented generation. We investigate the use of LLM…
cs.CL2024★ 1 cited
Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices
Leonid Velikovich, Christopher Li, Diamantino Caseiro +4
For end-to-end Automatic Speech Recognition (ASR) models, recognizing personal or rare phrases can be hard. A promising way to improve accuracy is through spelling correction (or r…