3 papers
cs.CV2025
Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs
Jiaao Yu, Shenwei Li, Mingjie Han +4
Recent breakthroughs in reasoning models have markedly advanced the reasoning capabilities of large language models, particularly via training on tasks with verifiable rewards. Yet…
cs.CV2025
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
Keliang Li, Hongze Shen, Hao Shi +9
The aspiration for artificial general intelligence, fueled by the rapid progress of multimodal models, demands human-comparable performance across diverse environments. We propose…
cs.CL2025
Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation
Shangqing Zhao, Yuhao Zhou, Yupei Ren +6
Ancient Chinese text processing presents unique challenges for large language models (LLMs) due to its distinct linguistic features, complex structural constraints, and rich cultur…