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Dialogue State Tracking on MultiWOZ 2.1 (test)

60.76Joint Goal AccuracyESAinsTOD (GT)
30.329638.229846.1354.0302Aug 31, 2021Jun 2, 2022Mar 4, 2023Dec 5, 2023Sep 5, 2024Jun 7, 2025Mar 10, 2026

Evaluation results

MethodLinks
ESAinsTOD (GT)Approach category=Generation-based, Backbone=Llama 2 7B, Evaluation protocol=Ground Truth2026.0360.76————————————————
DSS-DSTApproach category=Hybrid, Full ontology requirement=true2026.0360.73————————————————
Trippy+SaCLogBackbone Model=BERTbase, Trainable Parameters=110M2023.0560.61————————————————
TripPy + SaCLogPre-trained Model=BERT-base, Use Modified Label=true2022.1160.61————————————————
TripPy + CoCoAugPre-trained Model=BERT-base, Use Modified Label=true2022.1160.53————————————————
TripPy + SCoRePre-trained Model=BERT-base, Use Modified Label=true2022.1160.48————————————————
TripPy + SCOREPretrained-Model=ROBERTA-large, Parameters=355M, extra dialogue data=true2021.0960.48————————————————
FPDSC-dualApproach category=Classification-based, Full ontology requirement=true2026.0359.07————————————————
ConvBERT+DG+MultiBackbone Model=BERTbase, Trainable Parameters=110M2023.0558.7————————————————
ESAinsTODApproach category=Generation-based, Backbone=Llama 2 7B2026.0358.68————————————————
CHANApproach category=Classification-based, Full ontology requirement=true2026.0358.55————————————————
FPDSC-turnApproach category=Classification-based, Full ontology requirement=true2026.0357.88————————————————
D3STXXLBackbone Model=T5XXL, Trainable Parameters=11B2023.0557.8————————————————
MoNETPre-trained Model=BERT-base2022.1157.71——————97.71—————————
SPACE-3Backbone Model=UniLM, Trainable Parameters=340M2023.0557.5————————————————
PPTODlargeBackbone Model=T5large, Trainable Parameters=770M2023.0557.45————————————————
PPTODPre-trained Model=T5-large2022.1157.45————————————————
PPTODApproach category=Generation-based, Task-specific training (DST)=true, Dataset-specific fine-tuning=true2026.0357.45————————————————
AG-DSTBackbone Model=PLATO-2, Trainable Parameters=310M2023.0557.26————————————————
PPTODbaseBackbone Model=T5base, Trainable Parameters=220M2023.0557.1————————————————
SOLOISTPretrained-Model=GPT-2, Parameters=117M, extra dialogue data=true2021.0956.85————————————————
SOLOIST (DST)Approach category=Generation-based, Task-specific training (DST)=true2026.0356.85————————————————
Llama 2 7BApproach category=Generation-based, Evaluation protocol=Fine-tuned2026.0356.74————————————————
DSGFNetPre-trained Model=BERT-base2022.1156.7————————————————
SDP-DSTBackbone Model=T5base, Trainable Parameters=220M2023.0556.66————————————————
SDP-DSTPre-trained Model=T5-base2022.1156.66————————————————
Independent (ours)Pretrained-Model=T5-base, Parameters=220M, trained with description=true2021.0956.66————————————————
SimpleTODBackbone Model=DistilGPT-2, Trainable Parameters=82M2023.0556.45————————————————
Independent (ours)Pretrained-Model=T5-base, Parameters=220M, trained with description=false2021.0956.39————————————————
STARPre-trained Model=BERT-base2022.1156.36——————97.59—————————
UBAR (DST)Approach category=Generation-based, Task-specific training (DST)=true2026.0356.2————————————————
Independent (ours)Pretrained-Model=T5-small, Parameters=60M, trained with description=true2021.0956.12————————————————
Seq2SeqDUPre-trained Model=BERT-base2022.1156.1————————————————
Seq2seq-DUApproach category=Generation-based2026.0356.1————————————————
BaselinePre-trained Model=BERT-base2022.1155.82——————97.51—————————
SimpleTODApproach category=Generation-based2026.0355.76————————————————
Simple-TODPretrained-Model=GPT2, Parameters=117M2021.0955.72————————————————
SimpleTODHistory=Full, Source=Original paper2021.0855.7————————————————
Independent (ours)Pretrained-Model=T5-small, Parameters=60M, trained with description=false2021.0955.37————————————————
Transformer-DSTHistory=Full2021.0855.35————————————————
TripPyBackbone Model=BERTbase, Trainable Parameters=110M2023.0555.3————————————————
TripPyHistory=Full2021.0855.3————————————————
TripPyPre-trained Model=BERT-base, Use Modified Label=true2022.1155.29————————————————
TripPyPretrained-Model=BERT-base, Parameters=110M2021.0955.29————————————————
TripPyApproach category=Classification-based2026.0355.29————————————————
SimpleTODPre-trained Model=DistilGPT22022.1155.26————————————————
SSTPre-trained Model=BERT-base2022.1155.23————————————————
SSTPretrained-Model=N, Parameters=N/A2021.0955.23————————————————
SSTApproach category=Classification-based, Full ontology requirement=true2026.0355.23————————————————
TOATODbaseBackbone Model=T5base, Trainable Parameters=36M2023.0554.97————————————————
SAVNPre-trained Model=BERT-base2022.1154.86——————97.55—————————
D3STlargeBackbone Model=T5large, Trainable Parameters=770M2023.0554.5————————————————
SAVNHistory=Full2021.0854.5————————————————
PegasusHistory=Full2021.0854.4————————————————
UniLMBackbone Model=UniLM, Trainable Parameters=340M2023.0554.25————————————————
D3STbaseBackbone Model=T5base, Trainable Parameters=220M2023.0554.2————————————————
MDTOD2023.0553.85————————————————
MinTLPretrained-Model=BART-large, Parameters=406M2021.0953.62————————————————
MinTLApproach category=Generation-based2026.0353.62————————————————
MTTOD2023.0553.44————————————————
SOLOIST2023.0553.36————————————————
DST-PicklistBackbone Model=BERTbase, Trainable Parameters=110M2023.0553.3————————————————
DST-PicklistPre-trained Model=BERT-base2022.1153.3——————97.4—————————
DST-PicklistApproach category=Classification-based, Full ontology requirement=true2026.0353.3————————————————
CSFN-DSTPre-trained Model=BERT-base2022.1153.19————————————————
T5 (span+ARLM)History=Full2021.0853.1————————————————
TOATODsmallBackbone Model=T5small, Trainable Parameters=7.9M2023.0553.02————————————————
SOM-DSTPre-trained Model=BERT-base2022.1153.01————————————————
T5 (span)History=Full2021.0852.8————————————————
SOM-DST2023.0552.57————————————————
SOM-DSTApproach category=Generation-based2026.0352.57————————————————
T5 (ARLM)History=Full2021.0852.5————————————————
T5-Basebackbone=T5-Base2023.0552.08————————————————
PPTODevaluation_corrected=true2023.0551.68————————————————
DS-DSTApproach category=Hybrid2026.0351.21————————————————
DS-DSTBackbone Model=BERTbase, Trainable Parameters=110M2023.0551.2————————————————
DS-DSTHistory=Full2021.0851.2————————————————
SOM-DSTHistory=Full2021.0851.2————————————————
DSTQA2023.0551.17————————————————
MinTLPretrained-Model=T5-small, Parameters=60M2021.0950.95————————————————
SimpleTODHistory=Full, Source=2.3 author2021.0850.3————————————————
SimpleTODevaluation_corrected=true2023.0550.14————————————————
dual-DST2023.0549.88————————————————
DSTQAApproach category=Hybrid, Full ontology requirement=true2026.0349.67————————————————
SUMBTHistory=Full2021.0849.2————————————————
SUMBTPre-trained Model=BERT-base2022.1149.01——————96.76—————————
PIN2022.1148.4——————97.02—————————
TOD-BERTApproach category=Classification-based2026.0348————————————————
TRADE2023.0546————————————————
TRADE2023.0546————————————————
TRADE2022.1145.6——————96.55—————————
TRADEHistory=Full2021.0845.6————————————————
TRADEPretrained-Model=N, Parameters=N/A2021.0945.6————————————————
ChatGPT (GPT-4)Approach=FNCTOD, Backbone=gpt-4-1106-preview, Shots=02024.0238.71—45.1563.1876.3969.4862.59—58.7781.8485.0791.0687.7390.16———
ChatGPT (GPT-3.5)Approach=FNCTOD, Backbone=gpt-3.5-turbo-1106, Shots=02024.0238.56—37.5660.1274.4367.2961.31—67.1587.282.8690.2186.992.48———
FNCTOD-LLAMA2-13BApproach=FNCTOD, Model Type=Fine-tuned, Shots=02024.0237.67—46.8360.2767.4860.959.54—62.2484.9985.3988.6980.3989.88———
BAICHUAN2-13B-CHATApproach=FNCTOD, Shots=52024.0233.21—40.1559.0269.3160.6756.56—53.6779.5781.3687.8281.9589.45———
ZEPHYR-7B-BETAApproach=FNCTOD, Shots=52024.0232.11—38.4363.1874.156.257.68—56.581.9779.5291.1986.5690———
VICUNA-13B-v1.5Approach=FNCTOD, Shots=52024.0231.84—38.4356.4469.1158.8255.41—54.2580.9979.9687.2683.3789.26———
Heck et al. (2023)Backbone=GPT-3.52024.0231.5—4255.870.960.856.44—52.7————————