SOTAVerified

In-Context Learning

Papers

Showing 17011725 of 2297 papers

TitleStatusHype
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning0
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
Large Language Models are In-context Teachers for Knowledge Reasoning0
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
ChatAnything: Facetime Chat with LLM-Enhanced Personas0
LayoutPrompter: Awaken the Design Ability of Large Language ModelsCode2
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL0
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringCode1
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument ExtractionCode1
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence ModelsCode0
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction0
Deep Natural Language Feature Learning for Interpretable PredictionCode0
LLM Augmented Hierarchical Agents0
LooGLE: Can Long-Context Language Models Understand Long Contexts?Code1
Instruct Me More! Random Prompting for Visual In-Context LearningCode1
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
In-Context Exemplars as Clues to Retrieving from Large Associative Memory0
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data0
Instructed Language Models with Retrievers Are Powerful Entity LinkersCode0
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase0
Retrieval-Augmented Code Generation for Universal Information Extraction0
Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMsCode1
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models0
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles0
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