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Human Understanding on Ego-in-Exo, NeXTQA, VideoMME, ADL-X

-11.04Delta SourceStandard Adaptation
-11.2984-9.5542-7.81-6.0658Oct 15, 2025

Evaluation results

MethodLinks
Standard AdaptationVL-C=true, VE=true, LLM=true, Training data=VIMA-Bench + xArm-Det2025.10-11.0464.5836336.0462.2461.76
Adaptation Strategy (Trainable VE, Trainable LLM)Training data=VIMA-Bench + xArm-Det, VE=Trainable, LLM=Trainable2025.10-11.04——————
VISCOPVL-C=true, VE=VISCOP, LLM=true, Training data=VIMA-Bench + xArm-Det2025.10-1159.5982.9863.2636.3266.8361.79
VISCOPTraining data=VIMA-Bench + xArm-Det2025.10-11——————
Standard AdaptationVL-C=true, VE=true, LLM=true, Training data=VIMA-Bench2025.10-8.8756.9283.2462.7452.2164.563.92
Finetuning Strategy (Trainable VE, Trainable LLM)Vision Encoder=trainable, LLM=trainable, Vision Language Connector=trainable2025.10-8.8756.9283.2462.7452.2164.563.92
Adaptation Strategy (Trainable VE, Trainable LLM)Training data=VIMA-Bench, VE=Trainable, LLM=Trainable2025.10-8.87——————
Finetuning Strategy (Trainable VE, Frozen LLM)Vision Encoder=trainable, LLM=frozen, Vision Language Connector=trainable2025.10-7.8459.4283.1664.4152.9264.8664.95
VISCOPVL-C=true, VE=VISCOP, LLM=true, Training data=VIMA-Bench2025.10-4.5871.1983.7163.6755.8966.6268.22
VISCOP2025.10-4.5871.1983.7163.6755.8966.6268.22
VISCOPTraining data=VIMA-Bench2025.10-4.58——————
Base VLM2025.10—66.2784.3265.3777.3670.6572.79
Base VLM2025.10—66.2784.3265.3777.3670.6572.79