List your company

Audio Captioning on AudioCaps (test)

91.1CIDErLAMB
-2.4604821.8292646.11970.40874Oct 31, 2022Jun 5, 2023Jan 9, 2024Aug 13, 2024Mar 19, 2025Oct 22, 2025May 28, 2026

Evaluation results

MethodLinks
LAMBPT Dataset=AC+CL+WC2026.0191.119.755.4—————27.167.7———55.3———
LAVCap2025.0184.918.551.772.3——29.75126.2————————
MQ-CapPT Dataset=AC+CL+WC+AA2026.0184.519.451.9——————————————
SLAM-AACModel Category=Specialist, Parameters=7B, fine-tuned=true2024.1284.1————————————————
SLAM-AACPT Dataset=AC+CLP +WC +MA2026.0184.119.451.8—————26.866.8———51.5———
AudioSetCaps2026.0183.918.6——————26.2————————
AutoCap (audio+text)Pre-training Dataset=AC+CL+WC2025.0183.218.250.772.3——29.751.825.3————————
AutoCapInput Modality=audio+text, Pretraining Data=AC+CL+WC2024.0683.218.250.772.3——29.751.825.3————————
LOAEPre-training Dataset=AC+CL+WC2025.0181.619.350.5—————26.7————————
LOAEPT Dataset=AC+CL+WC2026.0181.619.350.5—————26.766.4———50.4———
CLAP-ARTPT Dataset=- / AC2026.0180.718.849.8—————25.665.5———————
CNext-transPre-training Dataset=AC+CL+MA+WC2025.0180.618.449.5—————25.2————————
CNext-transPretraining Data=AC+CL+MA+WC2024.0680.618.449.5—————25.2————————
AutoCapInput Modality=audio, Pretraining Data=AC+CL+WC2024.0680.41949.773.1——28.15225.6————————
AutoCapPT Dataset=AC+CL+WC2026.0180.41949.7—————25.6————————
EnCLAP-large2025.0180.318.849.5—————25.5————————
EnCLAP-largePT Dataset=AC+CL2026.0180.318.849.5—————25.565.5———49.9———
ENCLAP-LargePretraining Data=None2024.0680.218.849.5—————25.5————————
AutoCap (audio+text)Pre-training Dataset=AC2025.018018.849.472.1——28.651.525.6————————
AutoCapInput Modality=audio+text, Pretraining Data=AudioCaps (AC)2024.068018.849.472.1——28.651.525.6————————
HTSAT-BARTSetting=Supervised2023.1178.718.248.5———28.350.725————————
HTSAT-BARTPre-training Dataset=AC+CL+WC2025.0178.718.248.570.7——28.350.725————————
HTSAT-BARTPretraining Data=AC+CL+WC2024.0678.718.248.570.7——28.350.725————————
HTSAT-BARTPT Dataset=AC+CL+WC2026.0178.718.248.5—————2564.2———48.3———
AnyMALZeroshot=true, LLM Size=70B, Audio Encoder=CLAP2023.0977.82350.4——————————————
AutoCapInput Modality=audio, Pretraining Data=AudioCaps (AC)2024.0677.318.247.870——2851.724.6————————
Multi-TTAPairMix=true, Multi-TTA=true2022.1076.918.147.57053.439.528.950.224.2————————
AL-MixGENPretraining Data=None2024.0676.918.147.570——28.950.224.2————————
AVCapBackbone=finetuning2025.0175.817.846.868.1——28.749.124.3————————
LOAE+2025.0175.618.246.969.8——25.849.224.8————————
PairMixPairMix=true, Multi-TTA=false2022.1075.517.746.669.352.938.928.349.924.1————————
BART-tagsPre-training Dataset=AS2025.0175.317.646.569.9——26.649.324.1————————
BART-tagsPretraining Data=AudioSet (AS)2024.0675.317.646.569.9——26.649.324.1————————
SLAP2026.0175.118.1——————24.9————————
AVCapBackbone=freeze2025.0174.416.245.570.8——29.549.822.8————————
CNN-GPT22025.0173.317.745.571.3——30.950.324————————
BLAT2026.0173.318.4——————24.7————————
Cacophony2026.0172.816.8——————23.6————————
M2D22026.0172.417.6——————24.3————————
AnyMALZeroshot=true, LLM Size=13B, Audio Encoder=CLAP2023.0972.12247——————————————
HTSAT-BARTPretraining Data=None2024.0672.116.944.567.5——27.248.323.7————————
V-ACT2025.0171.117.244.269.8——28.149.423.7————————
V-ACTPretraining Data=None2024.0671.117.244.269.8——28.149.423.7————————
SLAM-LLMScenario=In Domain, Zero-shot=true2026.0170.51844.2—————25.366.2———————
t→a PDPre-training=WavCaps+SoundVECaps, Beam size=52026.0570.518.544.5———25.949.924.9————————
DRCapPre-training=WavCaps+SoundVECaps2026.0570.51844.2—————25.3————————
AnyMALZeroshot=true, LLM Size=7B, Audio Encoder=CLAP2023.0970.42145.7——————————————
t100→a100Pre-training=WavCaps+SoundVECaps, Beam size=5, Embedding Dimension=1002026.0569.217.543.3———25.149.724.6————————
ACTZeroshot=true2023.0967.91642——————————————
ACTPre-training Dataset=AS2025.0167.9164264.7——25.246.822.2————————
PANNS + BERTZeroshot=true2023.0966.717.242——————————————
a→aPre-training=WavCaps+SoundVECaps, Beam size=52026.0566.618.242.4———25.348.724.1————————
CNN10-VGGZeroshot=true2023.096616.841.4——————————————
t→a PDPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.0565.117.841.5———2347.124.9————————
GAMAPretraining Data=None2024.0664.85.435.120.4——12.219.116.3————————
Zhang et al.Scenario=In Domain, Zero-shot=true2026.0164.415.640—————22————————
SoftHardPre-training=WavCaps, Backbone=HTSAT-BERT-ZS2026.0564.415.640———21.345.722————————
t100→a100Pre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=5, Embedding Dimension=1002026.0564.117.140.6———21.946.724.2————————
BaselinePairMix=false, Multi-TTA=false2022.1063.516.840.265.447.533.623.447.122.4————————
WSACScenario=In Domain, Zero-shot=true2026.0163.317.340.3—————24.1————————
a→aPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.056317.740.3———23.747.323.8————————
a100→a100Pre-training=WavCaps+SoundVECaps, Beam size=5, Embedding Dimension=1002026.0562.817.740.2———23.447.823.7————————
a100→a100Pre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=5, Embedding Dimension=1002026.0560.717.138.9———21.746.823.7————————
Ours2024.1059.4————————————————
TopDown-AlignedAttZeroshot=true2023.0959.314.436.9——————————————
t→a ESPre-training=WavCaps+SoundVECaps, Beam size=52026.0558.616.337.5———21.845.822.8————————
X-InstructBLIP2024.1058.3————————————————
t→a NNDPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.0557.917.137.5———2144.123.8————————
WSACPre-training=WavCaps, Backbone=HTSAT-BERT-ZS2026.0556.416.336.3———17.143.523.2————————
t→a ADPre-training=WavCaps+SoundVECaps, Beam size=52026.0551.116.233.7———20.443.423.4————————
t100rec→a100recPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.0549.714.832.2———16.742.121.7————————
UIO2-XXLModel Category=Generalist, Images=1B*, Parameters=6.8B2024.1248.9————————————————
OmniFlowModel Category=Generalist, Images=30M, Parameters=3.4B2024.1248—————————0.254——————
t→a ESPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.0546.813.930.4———1640.820.9————————
SLAM-LLMScenario=Cross Domain, Zero-shot=true2026.0144.31730.6—————22.962.6———————
t→a ADPre-training=WavCaps, Backbone=HTSAT-BERT-ZS, Beam size=52026.0534.412.223.3———14.636.218.5————————
Zhang et al.Scenario=Cross Domain, Zero-shot=true2026.0133.712.423—————18.252.1———————
ZerAuCapSetting=Zero-shot, LLM=OPT2023.1128.18.618.3———6.833.112.3————————
ZerAuCapScenario=not specified, Zero-shot=true2026.0128.18.618.3—————12.3————————
ChatBridge2024.1026.2————————————————
WSACScenario=Cross Domain, Zero-shot=true2026.0125.61218.8—————17.3————————
Shaharabany et al.Setting=Zero-shot2023.119.2—————9.88.28.6————————
CoDiModel Category=Generalist, Images=400M, Parameters=4.3B, evaluated with official checkpoints=true2024.127.9—————————0.206——————
LoRA-MCLepsilon=0.05, Decoding=BS, Beam=52025.071.2370.2650.728———0.3090.6360.399—————0.5420.4910.715
LoRA-MCLvariant=annealed, Decoding=BS, Beam=52025.071.2110.2680.716———0.3150.6360.398—————0.5750.4230.714
LoRA-MCLepsilon=0.05, Decoding=BS, Beam=22025.071.2090.260.714———0.2980.6310.394—————0.5440.4640.712
LoRA-MCLvariant=annealed, Decoding=BS, Beam=22025.071.2050.2640.712———0.3090.6320.392—————0.5740.4110.714
LoRA-MCLepsilon=0.0005, Decoding=BS, Beam=52025.071.190.2630.706———0.3060.6310.392—————0.5790.410.712
LoRA-MCLepsilon=0.05, Decoding=BS, Beam=12025.071.1810.2530.695———0.2730.6220.382—————0.5510.4270.712
LoRA-MoEDecoding=BS, Beam=102025.071.1610.2560.692———0.2880.6130.385—————0.4110.7460.703
LoRA-MLErank=8, Decoding=BS, Beam=102025.071.1570.2560.689———0.2860.610.385—————0.410.7460.704
LoRA-MoEDecoding=BS, Beam=252025.071.1540.2580.689———0.2870.6120.385—————0.4150.7360.705
LoRA-MLErank=40, Decoding=BS, Beam=252025.071.1520.260.688———0.2890.6110.384—————0.4150.7350.706
LoRA-MCLepsilon=0.0005, Decoding=BS, Beam=22025.071.1520.2580.684———0.2770.6260.385—————0.5750.4010.712
LoRA-MLErank=40, Decoding=BS, Beam=102025.071.1510.2550.686———0.2980.610.382—————0.4070.7470.704
LoRA-MCLvariant=annealed, Decoding=BS, Beam=12025.071.1490.2550.68———0.2750.6150.379—————0.570.3970.713
LoRA-MLErank=40, Decoding=BS, Beam=52025.071.1440.2510.681———0.280.6060.382—————0.3920.7730.701
LoRA-MLErank=8, Decoding=BS, Beam=252025.071.1440.2580.683———0.2810.6090.383—————0.4170.7320.706
LoRA-MLErank=40, Decoding=DBS (λ = 0.8), Beam=252025.071.1390.2530.68———0.2820.6050.381—————0.3990.7630.702
LoRA-MLErank=40, Decoding=DBS (λ = 1.0), Beam=52025.071.1380.250.672———0.2680.6140.378—————0.580.4030.709