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In-Context Learning
419 directly classified papers
Papers per year
2008: 1
2020: 3
2022: 22
2023: 90
2024: 142
2025: 160
2026: 1
Papers
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023
Demystifying Prompts in Language Models via Perplexity Estimation
EMNLP 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
EMNLP 2023
Estimating Large Language Model Capabilities without Labeled Test Data
EMNLP 2023
In-Context Learning Creates Task Vectors
EMNLP 2023
Text Classification via Large Language Models
EMNLP 2023
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning
ACL 2023
Empowering Conversational Agents using Semantic In-Context Learning
ACL 2023
Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect
ACL 2023
Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement
ACL 2023
OpenICL: An Open-Source Framework for In-context Learning
ACL 2023
SPRING: Studying Papers and Reasoning to play Games
NIPS 2023
Self-Refine: Iterative Refinement with Self-Feedback
NIPS 2023
Structured State Space Models for In-Context Reinforcement Learning
NIPS 2023
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
NIPS 2023
Which is better? Exploring Prompting Strategy For LLM-based Metrics
IJCNLP 2023
Coverage-based Example Selection for In-Context Learning
EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
Finding Support Examples for In-Context Learning
EMNLP 2023
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
EMNLP 2023
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
EMNLP 2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
EMNLP 2023
Towards Effective Disambiguation for Machine Translation with Large Language Models
EMNLP 2023
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder’s Perspective
EMNLP 2023
In-Context Learning for Text Classification with Many Labels
EMNLP 2023
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