Papers by Junbo Cui

2 papers
UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models (2026.acl-demo)

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Challenge: Existing evaluation frameworks for audio foundation models are heavily reliant on English, making it difficult to objectively assess models’ performance on Chinese.
Approach: They propose a unified framework that supports 10 languages, 14 task categories, 24 models, and 36 benchmarks with one-command evaluation and real-time leaderboards.
Outcome: The proposed framework supports 10 languages, 14 task categories, 24 models, and 36 benchmarks with one-command evaluation and real-time leaderboards.
GUICourse: From General Vision Language Model to Versatile GUI Agent (2025.acl-long)

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Challenge: Graphical User Interfaces (GUIs) are a pivotal medium for human-computer interaction.
Approach: They propose a series of datasets for training visual-based GUI agents using general VLMs.
Outcome: The proposed GUICourse datasets show that even a small-sized GUI agent performs better on GUI tasks.

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