75 citations · 224 across the 23 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 15 cited
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Xi Victoria Lin, Xilun Chen, Mingda Chen +9
Retrieval-augmented language models (RALMs) improve performance by accessing long-tail and up-to-date knowledge from external data stores, but are challenging to build. Existing ap…
cs.CL2023
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
Mingda Chen, Xilun Chen, Wen-tau Yih
Few-shot learning for open domain multi-hop question answering typically relies on the incontext learning capability of large language models (LLMs). While powerful, these LLMs usu…