2 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
Shu Liu, Shangqing Zhao, Chenghao Jia +7
Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of tasks. However, their proficiency and reliability in the specialized domain of financi…