SOTAVerified

In-Context Learning

Papers

Showing 326350 of 2297 papers

TitleStatusHype
Learning to Poison Large Language Models for Downstream ManipulationCode1
Analysing The Impact of Sequence Composition on Language Model Pre-TrainingCode1
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
In-Context Learning Demonstration Selection via Influence AnalysisCode1
Task-Oriented Dialogue with In-Context LearningCode1
TuneTables: Context Optimization for Scalable Prior-Data Fitted NetworksCode1
Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum LearningCode1
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow ParadigmCode1
Uncertainty Quantification for In-Context Learning of Large Language ModelsCode1
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference OptimizationCode1
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited ExamplesCode1
Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementCode1
Is Mamba Capable of In-Context Learning?Code1
Can MLLMs Perform Text-to-Image In-Context Learning?Code1
CABINET: Content Relevance based Noise Reduction for Table Question AnsweringCode1
Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble LearningCode1
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record DataCode1
K-QA: A Real-World Medical Q&A BenchmarkCode1
Enhancing In-context Learning via Linear Probe CalibrationCode1
Revisiting Demonstration Selection Strategies in In-Context LearningCode1
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMsCode1
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context LearningCode1
The Unreasonable Effectiveness of Easy Training Data for Hard TasksCode1
MobileAgent: enhancing mobile control via human-machine interaction and SOP integrationCode1
DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language ModelsCode1
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