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In-Context Learning

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TitleStatusHype
AutoTrial: Prompting Language Models for Clinical Trial Design—0
COSMOS: Predictable and Cost-Effective Adaptation of LLMs—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Automatic text-based speech overlap classification: A novel approach using Large Language Models—0
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages—0
Conversation Style Transfer using Few-Shot Learning—0
Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning—0
Analyzing limits for in-context learning—0
Gated recurrent neural networks discover attention—0
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning—0
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning—0
Automatic Domain Adaptation by Transformers in In-Context Learning—0
Controlling Large Language Model Agents with Entropic Activation Steering—0
Analyzing Context Contributions in LLM-based Machine Translation—0
Controlled Text Generation with Natural Language Instructions—0
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
Automatic Demonstration Selection for LLM-based Tabular Data Classification—0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
Automatic Combination of Sample Selection Strategies for Few-Shot Learning—0
Context Understanding in Computer Vision: A Survey—0
AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database—0
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?—0
Context-Scaling versus Task-Scaling in In-Context Learning—0
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