collaborators

8 papers

cs.CV2026

OmniCAD: A Large-Scale Benchmark for 3D Spatial Reasoning in Robotics Assemblies

Mingjia Wang, Taiting Lu, Ziwei Dong +25

Recent vision-language models (VLMs) show strong capabilities in robotic perception and spatial reasoning, yet their ability to reason about complex mechanical assemblies remains u…

cs.CV2026

OmniMech: All-in-one Multimodal Mechanical Benchmark for 3D Reconstruction

Taiting Lu, Runze Liu, Ziwei Dong +18

Recent vision-language models (VLMs) can generate executable CAD programs from images, but existing methods mainly target coarse, general-purpose 3D objects and rarely address the…

cs.CV2026

OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing

Taiting Lu, Kaiyuan Lin, Ziwei Dong +18

Recent large language models (LLMs) have demonstrated remarkable progress in constraint-aware navigation, maze reasoning, and graph reasoning. However, their ability to reason abou…

cs.CL2026

Context Compression Is Not One Thing: Readable Symbolic Re-expression vs. Coherent Summary at Matched Budget

Sisong Bei, Mikhail L. Arbuzov, Ziwei Dong +2

We study context compression for multi-hop question answering with small language models. We propose Telegraph English, a readable symbolic format that rewrites retrieved passages…

cs.CL2026

The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability

Mikhail L. Arbuzov, Lee Mosbacker, Sisong Bei +3

Universal LLM reliability is not a finite-library problem: across all possible tasks, tools, schemas, knowledge sources, and evaluator expectations, new intervention-distinguishabl…

cs.MA2026

Estimated Dynamic Equilibrium Model: Supply and Demand as a Sample Path of a Stochastic Process

Mikhail L. Arbuzov, Sisong Bei, Alexey Shvets

We introduce the Estimated Dynamic Equilibrium Model (EDEM), an agent-based framework that treats supply and demand as a coupled stochastic process driven by heterogeneous, noisy a…