MEND: Meta dEmonstratioN Distillation for Efficient and Effective
In-Context Learning

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MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning

11 March 2024

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Papers citing "MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning"

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Title
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer Ruoyu Wang Junda Wu Yu Xia Tong Yu Ryan Rossi Julian McAuley Lina Yao 55 1 0 31 Jul 2025
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones A. Zhmoginov Jihwan Lee Mark Sandler 97 0 0 06 Jun 2025
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen Jiadong Wang Han Liu Kyumin Lee Kaize Ding GNN 664 4 0 09 Oct 2024
A Survey on In-context Learning Qingxiu Dong Lei Li Damai Dai Ce Zheng Jingyuan Ma ... Zhiyong Wu Baobao Chang Xu Sun Lei Li Zhifang Sui ReLM AIMat 241 654 0 31 Dec 2022