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In-Context Learning

Papers

Showing 376400 of 2297 papers

TitleStatusHype
Data Distributional Properties Drive Emergent In-Context Learning in TransformersCode1
Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language ModelsCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context LearningCode1
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and FindingsCode1
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsCode1
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question AnsweringCode1
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementCode1
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
Learning In-context Learning for Named Entity RecognitionCode1
CABINET: Content Relevance based Noise Reduction for Table Question AnsweringCode1
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsCode1
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT PerspectiveCode1
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-MixingCode1
Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum LearningCode1
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text GamesCode1
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training DataCode1
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot LearnersCode1
LLMeBench: A Flexible Framework for Accelerating LLMs BenchmarkingCode1
Contextual Vision Transformers for Robust Representation LearningCode1
Enhancing In-context Learning via Linear Probe CalibrationCode1
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