🚀 We’re thrilled to introduce VisionTS, a groundbreaking time series forecasting foundation model, building from rich, high-quality natural images without any time-series training and showing superior accuracy compared to SOTAs like Moirai, timesFM. arxiv.org/abs/2408.17253

How to select the best LLM-generated solution? We discuss the theoretically optimal strategy for selecting the best LLM-generated solutions (e.g., unreliable code) based on LLM-generated validators (e.g., unreliable test cases) in our ASE 2024 paper 👉🏻 Paper:

It is a great honor to be the first author of this work. I believe that scalable computing is an essential path toward potential AGI, and an efficient scaling law can shorten this journey.

How far are we from natural language programming? We introduce NoCode-bench, a benchmark with 634 real-world feature-addition tasks from software doc changes to validated code changes, towards answering this question. Even top models struggle with new feature implementation