b83bea9688047be30f54034c55716854-Supplemental-Datasets_and_Benchmarks_Track.pdf

In addition, users may become overly dependent on the model's outputs For the feedback, we ask the person "Please consider the quality of the Given a score (1-5). 1 means its quality is bad, and 5 means its quality is very good". The interface of the user study is shown in Fig. A1. We report the average scores in Tab. We have a total of 1.1M training data in FIRE. In Fig. A2, we present the curves of AT, ATR, ATR, and RR using different Results show that more data leads to better performance. This experiment shows the quality of data in FIRE again.