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Table-to-text generation on DART

0.3928METEOR

Teacher

Updated 4d ago

Evaluation Results

Method	Links
Teacher 2023.07		0.3928	-	0.4545	0.6817	0.8304	0.4056	0.4856
FINE-TUNE 2021.01		0.39	0.462	0.46	0.5	0.94	0.39	-
FINE-TUNE 2021.01		0.39	0.47	0.46	0.51	0.94	0.4	-
Prefix 2021.01		0.39	0.467	0.45	0.51	0.94	0.4	-
Fine-tune 2021.10		0.39	0.46	0.46	-	-	-	-
LoRA 2021.10		0.39	0.475	0.45	-	-	-	-
DSEE 2021.10		0.39	0.475	0.46	-	-	-	-
GPT-2MEDIUM 2021.07		0.39	0.462	0.46	0.5	0.94	0.39	-
GPT-2LARGE 2021.07		0.39	0.47	0.46	0.51	0.94	0.4	-
HTLM 2021.07		0.39	0.472	0.44	0.51	0.94	0.4	-
GPT-2LARGE 2021.07		0.39	0.467	0.45	0.51	0.94	0.4	-
HTLM 2021.07		0.39	0.471	0.45	0.5	0.94	0.39	-
ADAPTER (3%) 2021.01		0.38	0.452	0.46	0.5	0.94	0.39	-
PREFIX (0.1%) 2021.01		0.38	0.464	0.46	0.5	0.94	0.39	-
Adapters 2021.10		0.38	0.454	0.46	-	-	-	-
Prefix 2021.10		0.38	0.457	0.46	-	-	-	-
GPT-2MEDIUM 2021.07		0.38	0.464	0.46	0.5	0.94	0.39	-
TVD 2023.07		0.3788	-	0.4635	0.6736	0.8208	0.3717	0.4695
JS 2023.07		0.3775	-	0.465	0.673	0.8193	0.3681	0.4685
KL 2023.07		0.3745	-	0.4689	0.6707	0.816	0.3531	0.4624
RKL 2023.07		0.3735	-	0.4791	0.6702	0.8141	0.3508	0.4563
SeqKD 2023.07		0.3717	-	0.4749	0.6665	0.8115	0.3288	0.4554
DSEE 2021.10		0.37	0.434	0.51	-	-	-	-
Pre-distill 2023.07		0.3699	-	0.471	0.6675	0.8139	0.3408	0.456
ENGINE 2023.07		0.3651	-	0.5063	0.662	0.8018	0.3094	0.444
ADAPTER (0.1%) 2021.01		0.36	0.424	0.48	0.47	0.94	0.33	-
Non-distill (MLE) 2023.07		0.3571	-	0.4997	0.6565	0.7976	0.291	0.4312
FT-TOP2 2021.01		0.34	0.41	0.56	0.43	0.93	0.21	-
FT-Top2 2021.10		0.34	0.381	0.56	-	-	-	-
HTLM 2021.07		0.12	0.221	0.91	0.25	0.78	0.22	-