Papers
680 papers found
Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing
Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti et al.
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
Zixiao Zhu, Zijian Feng, Hanzhang Zhou et al.
In-Context Learning (and Unlearning) of Length Biases
Stephanie Schoch, Yangfeng Ji
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts
Malvina Nikandrou, Georgios Pantazopoulos, Nikolas Vitsakis et al.
ParaICL: Towards Parallel In-Context Learning
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty et al.
How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
Paul Youssef, Zhixue Zhao, Jörg Schlötterer et al.
Schema and Natural Language Aware In-Context Learning for Improved GraphQL Query Generation
Nitin Gupta, Manish Kesarwani, Sambit Ghosh et al.
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
Data Poisoning for In-context Learning
Pengfei He, Han Xu, Yue Xing et al.
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
Peiqin Lin, Andre Martins, Hinrich Schuetze
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
Abdellah El Mekki, Muhammad Abdul-Mageed
On the Feasibility of In-Context Probing for Data Attribution
Cathy Jiao, Weizhen Gao, Aditi Raghunathan et al.
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
Hyundong Justin Cho, Karishma Sharma, Nicolaas Paul Jedema et al.
Learning to Search Effective Example Sequences for In-Context Learning
Xiang Gao, Ankita Sinha, Kamalika Das
A Survey to Recent Progress Towards Understanding In-Context Learning
Haitao Mao, Guangliang Liu, Yao Ma et al.
Monte Carlo Sampling for Analyzing In-Context Examples
Stephanie Schoch, Yangfeng Ji
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning
Jianhao Yuan, Shuyang Sun, Daniel Omeiza et al.
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Shuo Chen, Zhen Han, Bailan He et al.
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
Chengsong Huang, Langlin Huang, Jiaxin Huang
Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP
Benedetta Muscato, Yue Li, Gizem Gezici et al.
ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization
Juseon Do, Sungwoo Han, Jingun Kwon et al.