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Methodology
← Keywords
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
How Can Client Motivational Language Inform Psychotherapy Agents?
EACL 2024
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
ACL 2024
Small Models are Valuable Plug-ins for Large Language Models
ACL 2024
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
INTERSPEECH 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
NIPS 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
Can Large Language Models Understand Context?
EACL 2024
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
Natural Language-centered Inference Network for Multi-modal Fake News Detection
IJCAI 2024
Linear Transformers are Versatile In-Context Learners
NIPS 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering
AAAI 2024
VILA: On Pre-training for Visual Language Models
CVPR 2024
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
NIPS 2024
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
ACL 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
EMNLP 2024
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning
INTERSPEECH 2024
How Far Can We Extract Diverse Perspectives from Large Language Models?
EMNLP 2024
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
EMNLP 2024
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
EMNLP 2024
Mixture of Demonstrations for In-Context Learning
NIPS 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
NAACL 2024
Investigating the Emergent Audio Classification Ability of ASR Foundation Models
NAACL 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning
NAACL 2024
Zero-shot Generative Linguistic Steganography
NAACL 2024
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