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From the 2 of 5 linked papers with an AI index.

collaborators

5 papers

cs.AI2026

MemHarness: Memory Is Reconstructed, Not Replayed

Rong Wu, Daocheng Fu, Licheng Wen +10

The paper introduces MemHarness, a framework that lets large language model agents reconstruct and adapt retrieved past experiences to the current context instead of replaying them…

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.AI2026

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Tao Hu, Jiaxin Ai, Licheng Wen +12

Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismatch with iterative re…

cs.SE2026

ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm

Jiaxin Ai, Tao Hu, Xuemeng Yang +11

Existing computer-use agents remain fundamentally limited in professional software manipulation: GUI-based agents suffer from fragile visual grounding and long-horizon error accumu…