2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CL2026★ 2 cited
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…
cs.CV2025
ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images
Yunfei Zhang, Yizhuo He, Yuanxun Shao +5
Vision-Language Models (VLMs) have advanced multimodal understanding, yet still struggle when targets are embedded in cluttered backgrounds requiring figure-ground segregation. To…