Papers
5,589 papers found
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang et al.
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
Jane Pan, Tianyu Gao, Howard Chen et al.
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
Bingsheng Yao, Guiming Chen, Ruishi Zou et al.
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye et al.
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
Heyan Huang, Yinghao Li, Huashan Sun et al.
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jianing Wang, Chengyu Wang, Chuanqi Tan et al.
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge, Hu Jing, Lei Wang et al.
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
Xinshun Wang, Zhongbin Fang, Xia Li et al.
RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation
Ioannis Panagiotopoulos, George Filandrianos, Maria Lymperaiou et al.
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch, Maor Ivgi, Emily Xiao et al.
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
Chunlan Ma, Yihong Liu, Haotian Ye et al.
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi et al.
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen, Lei Zhao, Difan Zou
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Ruixiang Tang, Dehan Kong, Longtao Huang et al.
Revisiting Demonstration Selection Strategies in In-Context Learning
Keqin Peng, Liang Ding, Yancheng Yuan et al.
What Makes a Good Order of Examples in In-Context Learning
Qi Guo, Leiyu Wang, Yidong Wang et al.
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
Chuyuan Li, Raymond Li, Thalia S. Field et al.
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
Keqin Peng, Liang Ding, Yuanxin Ouyang et al.
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi et al.
On the Relation between Sensitivity and Accuracy in In-Context Learning
Yanda Chen, Chen Zhao, Zhou Yu et al.
Adapting LLM Predictions in In-Context Learning with Data Priors
Javier Chiyah-Garcia, Prasoon Goyal, Michael Johnston et al.
ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers
Zhouxiang Fang, Aayush Mishra, Muhan Gao et al.
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain
Jonathan Mutal, Raphael Rubino, Pierrette Bouillon