… By combining the natural language capabilities of LLMs with a structured schema, we simulate a wide range of user interactions and scenarios to generate synthetic, realistic tasks. …
… Moreover, multi-task LLMs have exhibited remarkable task-wise generalization capabilities as they can address unseen tasks by understanding and solving brand-new instructions. The demonstration of the instruction-following pre-training of multi-task LLMs, e.g., FLAN. …
… It instructs LLMs to dynamically plan an operation chain according to the input table and its associated question. This evolving table design sheds new light on the understanding of prompting LLMs for table understanding. …
… Combining with LLMs We further explore combining VideoPrism with LLMs to unlock its ability to handle various video-language tasks. …