Papers
16 papers found
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine, Noam Wies, Daniel Jannai et al.
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie, Aditi Raghunathan, Percy Liang et al.
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie Chan, Adam Santoro, Andrew Lampinen et al.
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth et al.
Active Example Selection for In-Context Learning
Yiming Zhang, Shi Feng, Chenhao Tan
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman et al.
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie et al.
Controllable Dialogue Simulation with In-context Learning
Zekun Li, Wenhu Chen, Shiyang Li et al.
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington et al.
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing
Peng Shi, Rui Zhang, He Bai et al.
On the Compositional Generalization Gap of In-Context Learning
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau et al.
Towards Few-Shot Identification of Morality Frames using In-Context Learning
Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn et al.
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha et al.
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen, Jingfei Du, Ramakanth Pasunuru et al.