Reading goal decoding on OneStop Eye Movements New Item & Participant (val)
89.6AccuracyLogistic Ensemble
Evaluation Results
| Method | Links | |
|---|---|---|
| Logistic Ensemble2024.10 | 89.6 | |
| ROBERTa-Eye-FGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 88.7 | |
| PostFusion-EyeGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 87.8 | |
| ViTGaze Representation=Image of Scanpath2024.10 | 67.4 | |
| BEyeLSTMGaze Representation=Fixations, Text Representation=LF2024.10 | 66.1 | |
| ConvNext v2Gaze Representation=Image of Scanpath2024.10 | 65.3 | |
| ROBERTa-Eye-WGaze Representation=Words, Text Representation=Emb+LF2024.10 | 65.2 | |
| BEyeLSTM - No TextGaze Representation=Fixations2024.10 | 65.1 | |
| Haller RNNGaze Representation=Fixations, Text Representation=Emb2024.10 | 63.4 | |
| Log. RegressionGaze Representation=Global2024.10 | 61 | |
| Reading Time2024.10 | 60.4 | |
| PLM-ASGaze Representation=Fixations Order, Text Representation=Emb2024.10 | 58.6 | |
| EyettentionGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 58.6 | |
| MAG-EyeGaze Representation=Words, Text Representation=Emb+LF2024.10 | 52.6 | |
| Majority Class / Chance2024.10 | 50 |