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

11 March 2024

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

8 / 8 papers shown

Title
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen J. Wang Han Liu Kyumin Lee Kaize Ding GNN 181 1 0 09 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 38 2 0 02 Oct 2024
Learning by Distilling Context Charles Burton Snell Dan Klein Ruiqi Zhong ReLM LRM 165 44 0 30 Sep 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 214 180 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 115 29 0 02 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020