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In-Context Learning

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Showing 301–350 of 2297 papers

TitleStatusHype
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary AlgorithmsCode0
PanguIR Technical Report for NTCIR-18 AEOLLM Task—0
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type AnnotationCode1
Scaling Laws for Many-Shot In-Context Learning with Self-Generated Annotations—0
Building 3D In-Context Learning Universal Model in NeuroimagingCode0
Provable Benefits of Task-Specific Prompts for In-context LearningCode0
On the Power of Context-Enhanced Learning in LLMs—0
Dementia Insights: A Context-Based MultiModal Approach—0
In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models—0
Synthetic data enables context-aware bioacoustic sound event detection—0
Emergent Abilities in Large Language Models: A Survey—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
Self-Training Elicits Concise Reasoning in Large Language ModelsCode1
In-Context Learning with Hypothesis-Class GuidanceCode0
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
END: Early Noise Dropping for Efficient and Effective Context Denoising—0
DataMan: Data Manager for Pre-training Large Language Models—0
NeoBERT: A Next-Generation BERTCode2
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers—0
Multi-Perspective Data Augmentation for Few-shot Object DetectionCode1
A Closer Look at TabPFN v2: Strength, Limitation, and Extension—0
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization—0
In-context learning of evolving data streams with tabular foundational models—0
Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning—0
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data GenerationCode0
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent SystemsCode0
Code Summarization Beyond Function LevelCode1
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models—0
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming—0
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning—0
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
On the Robustness of Transformers against Context Hijacking for Linear Classification—0
Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search—0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Rapid Word Learning Through Meta In-Context Learning—0
PEARL: Towards Permutation-Resilient LLMsCode1
Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup—0
Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning—0
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMsCode0
Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations—0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning—0
Which Attention Heads Matter for In-Context Learning?Code1
D.Va: Validate Your Demonstration First Before You Use It—0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding—0
Are Large Language Models In-Context Graph Learners?—0
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration ExemplarsCode0
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL—0
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