100 citations · 183 across the 23 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 1 cited
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
Cheng Qian, Chenyan Xiong, Zhenghao Liu +1
Large Language Models (LLMs) have demonstrated remarkable progress in utilizing tools, but their closed-source nature and high inference costs pose limitations on their adaptabilit…
cs.CL2023
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
Zichun Yu, Chenyan Xiong, Shi Yu +1
Retrieval augmentation can aid language models (LMs) in knowledge-intensive tasks by supplying them with external information. Prior works on retrieval augmentation usually jointly…
cs.CL2023
Rethinking Dense Retrieval's Few-Shot Ability
Si Sun, Yida Lu, Shi Yu +6
Few-shot dense retrieval (DR) aims to effectively generalize to novel search scenarios by learning a few samples. Despite its importance, there is little study on specialized datas…