Tag: in-context learning
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LLMs Effectively Learn Hidden Markov Models In-Context
Discover how pre-trained large language models use in-context learning to predict and model Hidden Markov Models with high accuracy and real-world applicat...
Automatic Sample Selection for Improved Few-Shot Learning
Discover how automatic combination of sample selection strategies boosts few-shot learning performance across diverse datasets and models.
Lossless Prompt Compression for Cost-Effective LLM Analysis
Discover lossless prompt compression using dictionary encoding and in-context learning to reduce costs and improve LLM analysis of repetitive data.
Noise-Aware Learning to Reduce Hallucinations in ALLMs
Discover how Noise-Aware In-Context Learning mitigates hallucinations in auditory large language models, improving accuracy without costly fine-tuning.
Robust Noise Immunity in TabPFN for Tabular Learning
Discover how TabPFN's attention mechanisms ensure robust noise immunity and reliable predictions in in-context tabular learning tasks.