Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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The developments commanding sustained expert attention

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New Models & releases Research 7h ago
⚡ 55 h early
multimodal LLM industrial measurement paper

InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
Artificial Intelligence Papers AI Firehose

“InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models Chao Shen, Xinyuan Li, Yunfan Zhou, Jianguo Yao, Haibing Guan, Zhihai Wang, Xijun Li https://t.co/e8QsqSVeHF [𝚌𝚜.𝙰𝙸] https://t.co/oifnzphd2j”

“A study shows Multimodal Large Language Models struggle with gauge reading, achieving just 25.7% accuracy in task performance. The InSituMeasure benchmark highlights issues from noise and viewpoint changes, indicating a need for better training in complex c…”

Primary source arxiv.org ↗
New Models & releases Research 21h ago
neonatal respiratory diagnosis LLM paper

NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Artificial Intelligence Papers

“NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis Yinan Liu, Hongtai Xia, Haoran Xu, Jiankang Hong, Jingkuan Song, Ye Luo https://t.co/cgyIhFASBo [𝚌𝚜.𝙰𝙸] https://t.co/81JAJg0EJZ”

Primary source arxiv.org ↗
Developing Agents & robotics Research 1d ago
GUI agent conflict-aware termination paper

Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Artificial Intelligence Papers

“Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents Zhaoyuan Huang, Tianjie Ju, Pengzhou Cheng, Zheng Wu, Yansi Li, Chuanbiao Song, Jun Lan, Huijia Zhu, Weiqiang Wang, Zhuosheng Zhang https://t.co/hftDxaZMx6 [𝚌𝚜…”

Primary source arxiv.org ↗