3 citations · 7 across the 9 of their papers we have counts for
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cs.CL2024★ 1 cited
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions
Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell +1
The Automated Audio Captioning (AAC) task asks models to generate natural language descriptions of an audio input. Evaluating these machine-generated audio captions is a complex ta…
cs.CV2024★ 1 cited
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Tsung-Han Wu, Giscard Biamby, Jerome Quenum +4
Large Multimodal Models (LMMs) have made significant strides in visual question-answering for single images. Recent advancements like long-context LMMs have allowed them to ingest…