Paper

GitHub | Paper (upcoming) TL;DR: A reader is augmented with a growing notebook that caches all edits in natural texts, and the reader retrieves relevant edits and make inference based on them. This achieves SOTA in model editing in QA and fact-checking. NB: The COLING template in 2024 was very ugly. Introduction This work introduces a model editing method that addresses two issues with existing model editors: ...

Code | Paper | Paper (preprints.org) | 知乎 I did this work with my girlfriend, whose research direction is computational fluid dynamics (CFD). We observed that there are numerous research works in applying deep learning (DL) to solve CFD problems. E.g., Pangu-Weather have shown that DL methods can not only be more accurate than the best numerical methods, but can also be multiple magnitudes faster. However, there is no standard benchmark for evaluating the performance of different DL methods. Therefore, we constructed CFDBench. ...