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Acceptance Prediction on ICLR 2024/2025 and NeurIPS 2023/2024 (test)

70.45AccuracyTF-1l-8h (AC+abs)
49.088454.634260.1865.7258Jan 18, 2026

Evaluation results

MethodLinks
TF-1l-8h (AC+abs)Model Architecture=three-way transformer architecture, Configuration=1 layer, 8 heads, Input Features=Author-Capability + abstract2026.0170.4570.650.5258.87
bertInput Features=title+abs2026.0168.3367.6948.5456.25
bert-largeInput Features=title+abs2026.0167.9567.2351.5756.49
SA-1Model Component=SA-12026.0165.2964.2639.1848.4
SA-2Model Component=SA-22026.0165.2163.440.6349.25
TF-1l-8hModel Architecture=three-way transformer architecture, Configuration=1 layer, 8 heads2026.0164.7460.1946.6752.57
R1Model Component=R12026.0164.6462.4240.7248.83
TF-1l-1hModel Architecture=three-way transformer architecture, Configuration=1 layer, 1 head2026.0164.6460.3445.8952
bert-largeInput Features=ACI (Author-Capability-Idea)2026.0164.5562.8940.248.46
Gated Ave.2026.0164.4861.642.8549.99
bertInput Features=ACI (Author-Capability-Idea)2026.0164.3261.7241.9649.5
Gemini-3-preview2026.0158.1359.8867.8663.62
ChatGLM-4.72026.0157.5460.0261.160.56
Claude-sonnet-4.52026.0152.6756.0256.1456.08
GPT-4o2026.0152.0354.5964.4559.11
Deepseek-V3.22026.0151.5255.8164.8660
Random Guess2026.0149.9155.3449.6552.34