SOTAVerified

In-Context Learning

Papers

Showing 326350 of 2297 papers

TitleStatusHype
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 Models0
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming0
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning0
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 Classification0
Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning0
Rapid Word Learning Through Meta In-Context Learning0
PEARL: Towards Permutation-Resilient LLMsCode1
Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup0
Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning0
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 Representations0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning0
Which Attention Heads Matter for In-Context Learning?Code1
D.Va: Validate Your Demonstration First Before You Use It0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding0
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 Learning0
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-SQL0
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