1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
ComplexityWorld: Benchmarking Vision-Language Models on Verifiable Visual Decision Making
Ningxin Pan, Hanyu Li, Yehui Tang
Vision-language models (VLMs) have made rapid progress in visual perception and increasingly support real-world tasks that depend on images. Many such tasks, however, require more…
cs.CV2025★ 1 cited
Seed1.5-VL Technical Report
Dong Guo, Faming Wu, Feida Zhu +194
We present Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning. Seed1.5-VL is composed with a 532M-parameter v…
cs.LG2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin, Yijia Shao, Weinan Qian +3
Class incremental learning (CIL) is a challenging setting of continual learning, which learns a series of tasks sequentially. Each task consists of a set of unique classes. The key…