AI资讯日报 - 2025/11/29

👨‍🔬 Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov

G$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning

学术论文 ArXiv 重要度: 8

G²VLM模型统一3D重建与空间推理，利用几何特征增强空间理解能力，在多任务中达到先进水平。

👨‍🔬 Wenbo Hu, Jingli Lin, Yilin Long, Yunlong Ran, Lihan Jiang, Yifan Wang, Chenming Zhu, Runsen Xu, Tai Wang, Jiangmiao Pang

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework

学术论文 ArXiv 重要度: 8

Matrix去中心化框架支持多智能体协同生成合成数据，吞吐量提升2-15倍，适应多样化生成任务。

👨‍🔬 Dong Wang, Yang Li, Ansong Ni, Ching-Feng Yeh, Youssef Emad, Xinjie Lei, Liam Robbins, Karthik Padthe, Hu Xu, Xian Li, Asli Celikyilmaz, Ramya Raghavendra, Lifei Huang, Carole-Jean Wu, Shang-Wen Li

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

学术论文 ArXiv 重要度: 8

ViLoMem双流记忆框架分别编码视觉干扰和逻辑错误，提升多模态学习效果，减少重复错误。

👨‍🔬 Weihao Bo, Shan Zhang, Yanpeng Sun, Jingjing Wu, Qunyi Xie, Xiao Tan, Kunbin Chen, Wei He, Xiaofan Li, Na Zhao, Jingdong Wang, Zechao Li

Qwen3-VL Technical Report

学术论文 ArXiv 重要度: 8

Qwen3-VL支持256K令牌多模态上下文，在文本理解、长上下文和多模态推理方面表现卓越。

👨‍🔬 Shuai Bai, Yuxuan Cai, Ruizhe Chen, Keqin Chen, Xionghui Chen, Zesen Cheng, Lianghao Deng, Wei Ding, Chang Gao, Chunjiang Ge, Wenbin Ge, Zhifang Guo, Qidong Huang, Jie Huang, Fei Huang, Binyuan Hui, Shutong Jiang, Zhaohai Li, Mingsheng Li, Mei Li, Kaixin Li, Zicheng Lin, Junyang Lin, Xuejing Liu, Jiawei Liu, Chenglong Liu, Yang Liu, Dayiheng Liu, Shixuan Liu, Dunjie Lu, Ruilin Luo, Chenxu Lv, Rui Men, Lingchen Meng, Xuancheng Ren, Xingzhang Ren, Sibo Song, Yuchong Sun, Jun Tang, Jianhong Tu, Jianqiang Wan, Peng Wang, Pengfei Wang, Qiuyue Wang, Yuxuan Wang, Tianbao Xie, Yiheng Xu, Haiyang Xu, Jin Xu, Zhibo Yang, Mingkun Yang, Jianxin Yang, An Yang, Bowen Yu, Fei Zhang, Hang Zhang, Xi Zhang, Bo Zheng, Humen Zhong, Jingren Zhou, Fan Zhou, Jing Zhou, Yuanzhi Zhu, Ke Zhu

Escaping the Verifier: Learning to Reason via Demonstrations

学术论文 ArXiv 重要度: 7

RARO方法仅通过专家演示学习推理能力，无需任务验证器，在多个推理任务中表现优异。

👨‍🔬 Locke Cai, Ivan Provilkov

Mechanisms of Non-Monotonic Scaling in Vision Transformers

学术论文 ArXiv 重要度: 7

分析ViT深度扩展中的非单调性能模式，提出信息混洗指数作为架构设计诊断工具。

👨‍🔬 Anantha Padmanaban Krishna Kumar

Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models

学术论文 ArXiv 重要度: 7

ADVLA框架对VLA模型实施稀疏对抗攻击，仅修改10%补丁即可实现近100%攻击成功率。

👨‍🔬 Naifu Zhang, Wei Tao, Xi Xiao, Qianpu Sun, Yuxin Zheng, Wentao Mo, Peiqiang Wang, Nan Zhang

Continual Error Correction on Low-Resource Devices

学术论文 ArXiv 重要度: 6

提出低资源设备持续错误校正系统，通过原型更新实现高效校正，计算开销极低。

👨‍🔬 Kirill Paramonov, Mete Ozay, Aristeidis Mystakidis, Nikolaos Tsalikidis, Dimitrios Sotos, Anastasios Drosou, Dimitrios Tzovaras, Hyunjun Kim, Kiseok Chang, Sangdok Mo, Namwoong Kim, Woojong Yoo, Jijoong Moon, Umberto Michieli

Through the telecom lens: Are all training samples important?

学术论文 ArXiv 重要度: 6

分析电信AI训练样本重要性，提出选择性优先处理框架，减少计算需求同时保持性能。

👨‍🔬 Shruti Bothe, Illyyne Saffar, Aurelie Boisbunon, Hasan Farooq, Julien Forgeat, Md Moin Uddin Chowdhury

Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling

学术论文 ArXiv 重要度: 5

提出统一数学框架整合系统动力学和结构方程建模，为AI/ML应用提供因果建模基础。

👨‍🔬 Peter S. Hovmand, Kari O'Donnell, Callie Ogland-Hand, Brian Biroscak, Douglas D. Gunzler

🤖 AI资讯日报

📊 今日趋势总结

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The AI Crackpot Index

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Bioinformatician

Revisiting Generalization Across Difficulty Levels: It's Not So Easy

ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration

G$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

Qwen3-VL Technical Report

Escaping the Verifier: Learning to Reason via Demonstrations

Mechanisms of Non-Monotonic Scaling in Vision Transformers

Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models

Continual Error Correction on Low-Resource Devices

Through the telecom lens: Are all training samples important?

Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling

📅 历史日报目录