Papers
680 papers found
Grounding Language Model with Chunking-Free In-Context Retrieval
Hongjin Qian, Zheng Liu, Kelong Mao et al.
Feature-Adaptive and Data-Scalable In-Context Learning
Jiahao Li, Quan Wang, Licheng Zhang et al.
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Xiaoling Zhou, Wei Ye, Yidong Wang et al.
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs
Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya
OLIVE: Object Level In-Context Visual Embeddings
Timothy Ossowski, Junjie Hu
NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava, Satvik Golechha, Amit Deshpande et al.
Prompt Optimization via Adversarial In-Context Learning
Xuan Long Do, Yiran Zhao, Hannah Brown et al.
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
Mayur Patidar, Riya Sawhney, Avinash Singh et al.
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Yaroslav Aksenov, Nikita Balagansky, Sofia Lo Cicero Vaina et al.
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta et al.
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions
Alexis Ross, Jacob Andreas
Using Natural Language Explanations to Improve Robustness of In-context Learning
Xuanli He, Yuxiang Wu, Oana-Maria Camburu et al.
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu, Jiaming Shen, Tianqi Liu et al.
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
Arkadiy Saakyan, Smaranda Muresan
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li, Anna Korhonen, Ivan Vulić
Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data
Julian Schelb, Roberto Ulloa, Andreas Spitz
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese et al.
Effective In-Context Example Selection through Data Compression
ZhongXiang Sun, Kepu Zhang, Haoyu Wang et al.
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
Hongling Xu, Qianlong Wang, Yice Zhang et al.
Se2: Sequential Example Selection for In-Context Learning
Haoyu Liu, Jianfeng Liu, Shaohan Huang et al.
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
Miaoran Zhang, Vagrant Gautam, Mingyang Wang et al.
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
Korbinian Randl, John Pavlopoulos, Aron Henriksson et al.
Latent Learningscape Guided In-context Learning
Anlai Zhou, Sunshine Jiang, Yifei Liu et al.
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
Zihan Chen, Song Wang, Cong Shen et al.
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning
Kaiyi Zhang, Ang Lv, Yuhan Chen et al.