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cs.AI2024
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu +5
The utility of synthetic data to enhance pretraining data quality and hence to improve downstream task accuracy has been widely explored in recent large language models (LLMs). Yet…
cs.AI2024
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination
Syeda Nahida Akter, Aman Madaan, Sangwu Lee +2
The potential of Vision-Language Models (VLMs) often remains underutilized in handling complex text-based problems, particularly when these problems could benefit from visual repre…