11 benchmarks
Emerging5papers using it
2022first seen
The '11 benchmarks' dataset is a collection of diverse tasks used to evaluate the performance of models in complex audio-visual reasoning scenarios.
Papers using 11 benchmarks (5)
- Omni-o3: Deep Nested Omnimodal Deduction for Deliberative Audio-Visual ReasoningCAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language MisalignmentTABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMsFrom Points to Clouds: Learning Robust Semantic Distributions for Multi-modal PromptsLearning Domain Invariant Prompt for Vision-Language Models