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In-Context Learning

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Showing 1551–1575 of 2297 papers

TitleStatusHype
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel TasksCode0
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection—0
Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact ExtractionCode0
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles—0
Compositional Text-to-Image Generation with Dense Blob Representations—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
The Curious Case of Class Accuracy Imbalance in LLMs: Post-hoc Debiasing via Nonlinear Integer Programming—0
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation—0
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare—0
XAMPLER: Learning to Retrieve Cross-Lingual In-Context ExamplesCode0
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsCode0
AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models—0
Locally Differentially Private In-Context Learning—0
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning—0
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs—0
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning—0
Position: Understanding LLMs Requires More Than Statistical GeneralizationCode0
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
Question Suggestion for Conversational Shopping Assistants Using Product Metadata—0
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"—0
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations—0
In-Context Learning with Long-Context Models: An In-Depth Exploration—0
Graphical Reasoning: LLM-based Semi-Open Relation ExtractionCode0
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