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Graph-to-Text Generation on WebNLG English (test)

66.5BLEU-4MGSA
21.57233.23644.956.564May 29, 2026

Evaluation results

MethodLinks
MGSApublished_results=true2026.0566.546.976.5—
GAP (WEBNLG)reproduced=true, training_set=WEBNLG2026.0566.346.976.34.65
JointGTpublished_results=true2026.0565.947.276.1—
LLaMA 3.3-70Bmode=SFT2026.0557.642.869.43.44
LLaMA 3.1-8Bmode=SFT2026.0557.242.668.83.38
Graph-LLaDAlambda_scaling=0.25, technique=λ-scaled structural decoding2026.0555.443.469.53.37
LLaDA-8Bmode=SFT, lambda_scaling=0.5, technique=λ-scaled structural decoding2026.0553.743.468.63.18
LLaMA 3.3-70Bmode=zero-shot2026.0551.44166.93.15
Qwen3-8Bmode=zero-shot2026.0548.440.563.82.9
LLaMA 3.1-8Bmode=zero-shot2026.0544.537.961.22.64
LLaDA-8Bmode=SFT2026.0544.341.563.52.17
LLaDA-8Bmode=zero-shot2026.0542.236.162.32.5
Dream-7Bmode=zero-shot2026.0523.425.556.92.23
GAP (LAGRANGE)reproduced=true, training_set=LAGRANGE2026.0523.328.940.81.78