발행물
컨퍼런스
Seminar | Data Science Lab
2024
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Iterated Learning Improves Compositionality in Large Vision-Language Models
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
SELF-REFINE: Iterative Refinement with Self-Feedback
API-Assisted Code Generation for Question Answering on Varied Table Structures
LLaVA-OneVision: Easy Visual Task Transfer