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in-context learning

1369 papers

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Also known as

ICL IC ICCG ICRL

Co-occurring keywords

large language model (12755) few-shot learning (3390) prompt engineering (1128) zero-shot learning (3637) language model (4573) retrieval-augmented generation (1459) text classification (6776) machine translation (2472) multimodal learning (4622) question answering (2904)

Papers

Zero-shot Generative Linguistic Steganography NAACL 2024
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment NAACL 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification NAACL 2024
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration NAACL 2024
Natural Language-centered Inference Network for Multi-modal Fake News Detection IJCAI 2024
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks INTERSPEECH 2024
Improving Automatic VQA Evaluation Using Large Language Models AAAI 2024
Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models ACL 2024
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024
Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer ACL 2024
Self-Augmented In-Context Learning for Unsupervised Word Translation ACL 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024
Small Models are Valuable Plug-ins for Large Language Models ACL 2024
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models ACL 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering ACL 2024
Effective In-Context Example Selection through Data Compression ACL 2024