Do Audio-Visual Large Language Models Really See and Hear?

Documenti analoghi

• EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
  di: Seth, Ashish, et al.
  Pubblicazione: (2024)
• MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
  di: Sakshi, S, et al.
  Pubblicazione: (2024)
• PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
  di: Seth, Ashish, et al.
  Pubblicazione: (2024)
• Do Audio-Language Models Understand Linguistic Variations?
  di: Selvakumar, Ramaneswaran, et al.
  Pubblicazione: (2024)
• CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
  di: Ghosh, Sreyan, et al.
  Pubblicazione: (2023)