THE MECHANISTIC BASIS OF DATA DEPENDENCE AND ABRUPT LEARNING IN AN IN-CONTEXT CLASSIFICATION TASK

Computer Science

• Data-Dependences 100%
• Intrinsic Property 100%
• Classification Task 100%
• Training Data 100%
• Data Distribution 100%
• Parameter Model 100%
• Trained Network 100%
• Sequential Learning 100%
• Output Relationship 100%
• Data Architecture 100%
• Transformer Model 100%

Keyphrases

• Data Dependency 100%
• Classification Task 100%
• In-context Learning 100%
• Mechanistic Basis 100%
• In-context 100%
• Weight Learning 60%
• Attention Network 40%
• Learning Styles 20%
• Illustrative Examples 20%
• Phenomenological Models 20%
• Nonlinearity 20%
• Sharp Transition 20%
• Dictionary 20%
• Burstiness 20%
• Head Formation 20%
• Query-based 20%
• Two-parameter Model 20%
• Sequential Learning 20%
• Distributional Properties 20%
• Nested Logit 20%
• Transformer Model 20%
• Distribution Control 20%
• Output Relationship 20%
• Data Architecture 20%
• Training Data Distribution 20%
• Progress Measure 20%
• Rank-frequency Distribution 20%
• Input Sequence 20%

Social Sciences

• Learning Context 100%
• Form of Learning 20%
• Nonlinearity 20%
• Frequency Distribution 20%
• Transformer Model 20%