Papers
680 papers found
What Makes Good In-Context Examples for GPT-3?
Jiachang Liu, Dinghan Shen, Yizhe Zhang et al.
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy, Ben Bogin, Jonathan Berant
In-Context Analogical Reasoning with Pre-Trained Language Models
Xiaoyang Hu, Shane Storks, Richard Lewis et al.
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
Xinxi Lyu, Sewon Min, Iz Beltagy et al.
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li, Kai Lv, Hang Yan et al.
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur et al.
Few-shot In-context Learning on Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang et al.
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang, Robin Jia
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An, Zeqi Lin, Qiang Fu et al.
Understanding In-Context Learning via Supportive Pretraining Data
Xiaochuang Han, Daniel Simig, Todor Mihaylov et al.
Learning In-context Learning for Named Entity Recognition
Jiawei Chen, Yaojie Lu, Hongyu Lin et al.
Mitigating Label Biases for In-context Learning
Yu Fei, Yifan Hou, Zeming Chen et al.
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat et al.
OpenICL: An Open-Source Framework for In-context Learning
Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye et al.
Towards Zero-Shot Persona Dialogue Generation with In-Context Learning
Xinchao Xu, Zeyang Lei, Wenquan Wu et al.
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
Damai Dai, Yutao Sun, Li Dong et al.
Complementary Explanations for Effective In-Context Learning
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz et al.
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking
Brendan King, Jeffrey Flanigan
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra et al.
In-context Examples Selection for Machine Translation
Sweta Agrawal, Chunting Zhou, Mike Lewis et al.
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel et al.
Empowering Conversational Agents using Semantic In-Context Learning
Amin Omidvar, Aijun An
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization
Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning
Xiangru Tang, Andrew Tran, Jeffrey Tan et al.
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
Michal Štefánik, Marek Kadlčík