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In-Context Learning

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Showing 1901–1925 of 2297 papers

TitleStatusHype
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks—0
Assessing Translation capabilities of Large Language Models involving English and Indian Languages—0
On the Calibration of Multilingual Question Answering LLMs—0
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
Auto-ICL: In-Context Learning without Human SupervisionCode0
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement—0
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationCode0
How good are Large Language Models on African Languages?—0
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual AlignmentCode0
Anti-LM Decoding for Zero-shot In-context Machine TranslationCode0
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Language Models are Better Bug Detector Through Code-Pair ClassificationCode0
How are Prompts Different in Terms of Sensitivity?Code0
Speech-based Slot Filling using Large Language Models—0
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning—0
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner MonologueCode0
In-context Learning Generalizes, But Not Always Robustly: The Case of SyntaxCode0
In-context Learning and Gradient Descent RevisitedCode0
Using Natural Language Explanations to Improve Robustness of In-context LearningCode0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL—0
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence ModelsCode0
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction—0
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