Yicheng Fan — accepted AI-conference papers

2025

A Spatiotemporal Downwash Modeling for Agile Close-Proximity Multirotor Flight

Pavel Kharitenko, Yicheng Fan, Xiaopei Liu, Yang Wang

IROS 2025

Accurate aerodynamic interaction modeling in multi-drone tasks is crucial for enhancing system stability and efficiency, especially when facing major disturbances from downwash wake effects. Conventional data-driven and empirical models mainly address simplified cases where one drone hovers or all v

Cited by 1 Source ↗code ↗Scholar ↗

2023

RARR: Researching and Revising What Language Models Say, Using Language Models

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan +5

ACL 2023long

Language models (LMs) now excel at many tasks such as question answering, reasoning, and dialog. However, they sometimes generate unsupported or misleading content. A user cannot easily determine whether their outputs are trustworthy or not, because most LMs do not have any built-in mechanism for at…

Cited by 297 Source ↗PDF ↗code ↗Scholar ↗