SOTAVerified

In-Context Learning

Papers

Showing 951975 of 2297 papers

TitleStatusHype
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning0
Self-Evolving Visual Concept Library using Vision-Language Critics0
ChatHuman: Chatting about 3D Humans with Tools0
On the Out-Of-Distribution Generalization of Large Multimodal Models0
Unraveling Indirect In-Context Learning Using Influence Functions0
Unified Medical Lesion Segmentation via Self-referring Indicator0
ICLR: In-Context Learning of Representations0
Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches0
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text DetectionCode0
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsCode0
TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values0
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment AnalysisCode0
Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability0
TextMatch: Enhancing Image-Text Consistency Through Multimodal Optimization0
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting0
Revisiting In-Context Learning with Long Context Language Models0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
In-context Continual Learning Assisted by an External Continual LearnerCode0
Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning?0
Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification0
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models0
Associative memory inspires improvements for in-context learning using a novel attention residual stream architectureCode0
Relational Programming with Foundation Models0
LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning0
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