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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.AI2026

IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD

Nianchen Deng, Jiaxin Ai, Tao Hu +10

The paper introduces IndustryForge-27B, a multimodal foundation model fine‑tuned on diverse industrial CAD data to understand drawings, generate parametric modeling scripts, and co…

cs.AI2026

ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language

Yurui Dong, Shu Zou, Siqi Li +7

Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, production-ready mechanical assembly…

cs.CV2026

Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task

Yurui Dong, Ziyue Wang, Shuyun Lu +5

Multimodal Large Language Models (MLLMs) have recently made rapid progress toward unified Omni models that integrate vision, language, and audio. However, existing environments lar…

cs.AI2026

DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings

Ziwen Chen, Zhendong Wang, Chongjing Wang +12

Dermatologic diseases impose a large and growing global burden, affecting billions and substantially reducing quality of life. While modern therapies can rapidly control acute symp…

cs.CL2025

From Rational Answers to Emotional Resonance: The Role of Controllable Emotion Generation in Language Models

Yurui Dong, Luozhijie Jin, Yao Yang +3

Purpose: Emotion is a fundamental component of human communication, shaping understanding, trust, and engagement across domains such as education, healthcare, and mental health. Wh…

cs.CV2025

EscapeCraft: A 3D Room Escape Environment for Benchmarking Complex Multimodal Reasoning Ability

Ziyue Wang, Yurui Dong, Fuwen Luo +5

The rapid advancing of Multimodal Large Language Models (MLLMs) has spurred interest in complex multimodal reasoning tasks in the real-world and virtual environment, which require…