1 code implementation • 23 May 2024 • Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
We highlight the results that on the ICLR dataset, our mechanisms can differentiate three quality levels -- human-written reviews, GPT-4-generated reviews, and GPT-3. 5-generated reviews in terms of expected scores.
no code implementations • 21 Feb 2024 • Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck
However, different metrics lead to divergent and even contradictory results in various contexts.
no code implementations • 5 Dec 2023 • Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu
Thanks to this design, the model is capable of handling in-context vision understanding tasks with multimodal output in a unified pipeline. Experimental results demonstrate that our model achieves competitive performance compared with specialized models and previous ICL baselines.
1 code implementation • 16 Dec 2020 • Yaqi Liu, Chao Xia, Xiaobin Zhu, Shengwei Xu
The first stage is a backbone self deep matching network, and the second stage is named as Proposal SuperGlue.