3 papers
cs.MM2026
JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
Jianghan Chao, Jianzhang Gao, Wenhui Tan +3
Understanding videos inherently requires reasoning over both visual and auditory information. To properly evaluate Omni-Large Language Models (Omni-LLMs), which are capable of proc…
cs.CL2025
ChronusOmni: Improving Time Awareness of Omni Large Language Models
Yijing Chen, Yihan Wu, Kaisi Guan +4
Time awareness is a fundamental ability of omni large language models, especially for understanding long videos and answering complex questions. Previous approaches mainly target v…
cs.CL2025
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing…