Papers
680 papers found
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
Menglong Cui, Jiangcun Du, Shaolin Zhu et al.
Concept-aware Data Construction Improves In-context Learning of Language Models
Michal Štefánik, Marek Kadlčík, Petr Sojka
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
Anirudh Som, Karan Sikka, Helen Gent et al.
Demonstration Augmentation for Zero-shot In-context Learning
Yi Su, Yunpeng Tai, Yixin Ji et al.
Visual In-Context Learning for Large Vision-Language Models
Yucheng Zhou, Xiang Li, Qianning Wang et al.
iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation
Diego Campanini, Oscar Loch, Pablo Messina et al.
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
SeongIl Park, Seungwoo Choi, Nahyun Kim et al.
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
Senbin Zhu, Hanjie Zhao, Xingren Wang et al.
DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis
Ling-ang Meng, Tianyu Zhao, Dawei Song
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
Hui Liu, Wenya Wang, Hao Sun et al.
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
Renhao Pei, Yihong Liu, Peiqin Lin et al.
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
Yidan Wang, Yanan Cao, Yubing Ren et al.
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
Shaobo Wang, Xiangqi Jin, Ziming Wang et al.
Exploring Explanations Improves the Robustness of In-Context Learning
Ukyo Honda, Tatsushi Oka
Leveraging In-Context Learning for Political Bias Testing of LLMs
Patrick Haller, Jannis Vamvas, Rico Sennrich et al.
Mixtures of In-Context Learners
Giwon Hong, Emile Van Krieken, Edoardo Ponti et al.
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
Haesung Pyun, Yoonah Park, Yohan Jo
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
Wendi Cui, Jiaxin Zhang, Zhuohang Li et al.
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
Xiaoqing Zhang, Ang Lv, Yuhan Liu et al.
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
Longze Chen, Renke Shan, Huiming Wang et al.
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention
Emily Xiao, Chin-Jou Li, Yilin Zhang et al.
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
Chengwei Qin, Wenhan Xia, Fangkai Jiao et al.
SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment
Quan Ze Chen, Kevin Feng, Chan Young Park et al.
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
Yilei Tu, Andrew Xue, Freda Shi