视觉大模型 / VLM

FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering

Liangyu Zhong, Fabio Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn

机构 * Technical University of Berlin（柏林技术大学） ； Technical University of Munich（慕尼黑技术大学） ； CARIAD SE ； Volkswagen AG（大众集团） 纠错

专题命中 视觉问答 ：MLLM(title,abstract)；visual question answering(title,abstract)；multimodal large language model(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025 - main track. Project page: https://focus-mllm-vqa.github.io/

SeeingEye: Agentic Information Flow Unlocks Multimodal Reasoning In Text-only LLMs

Weijia Zhang, Zijia Liu, Haoru Li, Haoqi Chen, Jiaxuan You

专题命中 视觉问答 ：VLM(abstract)；visual question answering(abstract)

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts

Tianchi Xie, Minzhi Lin, Mengchen Liu, Yilin Ye, Changjian Chen, Shixia Liu

专题命中 视觉问答 ：multimodal large language model(abstract)；分类 cs.CV、cs.AI