most citedRethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 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.MA20262 cited

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

Jiawei Xu, Arief Koesdwiady, Sisong Bei +8

Recent advances in LLM-based multi-agent systems (MAS) show that workflows composed of multiple LLM agents with distinct roles, tools, and communication patterns can outperform sin…