2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
PALM-Bench: A Comprehensive Benchmark for Personalized Audio-Language Models
Yuwen Wang, Xinyuan Qian, Tian-Hao Zhang +6
Large Audio-Language Models (LALMs) have demonstrated strong performance in audio understanding and generation. Yet, our extensive benchmarking reveals that their behavior is large…
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
Qianqi Yan, Yue Fan, Hongquan Li +5
Existing Multimodal Large Language Models (MLLMs) are predominantly trained and tested on consistent visual-textual inputs, leaving open the question of whether they can handle inc…
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration
Yue Fan, Handong Zhao, Ruiyi Zhang +3
Graphical User Interface (GUI) action grounding is a critical step in GUI automation that maps language instructions to actionable elements on GUI screens. Most recent works of GUI…