Papers
680 papers found
Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models
Gregory Polyakov, Christian Hepting, Carsten Eickhoff et al.
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning
Yiquan Wu, Anlai Zhou, Yuhang Liu et al.
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
Yixin Yang, Qingxiu Dong, Linli Yao et al.
Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation
Keqin Bao, Ming Yan, Yang Zhang et al.
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao, Maksym Andriushchenko, Francesco Croce et al.
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek, Sun Jae Lee, Prakhar Gupta et al.
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
Arefa, Mohammed Abbas Ansari, Chandni Saxena et al.
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
Arefa, Mohammed Abbas Ansari, Chandni Saxena et al.
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning
Jing Pan, Jian Wu, Yashesh Gaur 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.
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin, Ang Lv, Yuhan Chen et al.
On Many-Shot In-Context Learning for Long-Context Evaluation
Kaijian Zou, Muhammad Khalifa, Lu Wang
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim et al.
In-Context Former: Lightning-fast Compressing Context for Large Language Model
Xiangfeng Wang, Zaiyi Chen, Tong Xu et al.
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
ya sheng sun, Yifan Yang, Houwen Peng et al.
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou, Xiaoqiang Lin, Xinyi Xu et al.
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
Jisoo Mok, Jaeyoung Do, Sungjin Lee et al.
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
Tianci Xue, Ziqi Wang, Yixia Li et al.
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve et al.
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
Guozheng Li, Wenjun Ke, Peng Wang et al.
Guideline Learning for In-Context Information Extraction
Chaoxu Pang, Yixuan Cao, Qiang Ding et al.
Measuring Pointwise 𝒱-Usable Information In-Context-ly
Sheng Lu, Shan Chen, Yingya Li et al.
Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains
Joongbo Shin, Youbin Ahn, Seungpil Won et al.
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations
Haihua Xie, Yinzhu Cheng, Yaqing Wang et al.
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Ezra Edelman, Nikolaos Tsilivis, Benjamin L. Edelman et al.