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ResearchTrend.AI
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
v1v2 (latest)

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

Yichuan Li
Xiyao Ma
Sixing Lu
Kyumin Lee
Xiaohu Liu
Chenlei Guo
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer
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
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
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
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
ReLMAIMat
241
651
0
31 Dec 2022

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