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cs.AI2026

The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks

Wenbo Pan, Zhichao Liu, Shujie Liu +6

LLM agents increasingly work on long-horizon tasks, and the decisions they make along the way, such as which hypothesis to test or which implementation to build on, determine the o…

cs.AI2026

OmniFysics-Nano-V2 Technical Report: Understanding the Physical World Across Modalities

Yizhou Liu, Jinghang Han, Kaixiang Qiu +8

Omni-modal models have expanded multimodal interaction across vision, audio, speech, and language. However, their training is predominantly organized around semantic descriptions a…

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.SE2026

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs

Yuxuan Lu, Ziyi Wang, Yingzhou Lu +12

Training tool-calling agents requires large-scale trajectory data with verifiable labels, yet existing approaches either synthesize environments that diverge from real API behavior…

cs.AI2026

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

Minhua Lin, Zhiwei Zhang, Hanqing Lu +5

Memory-augmented LLM agents maintain external memory banks to support long-horizon interaction, yet most existing systems treat construction, retrieval, and utilization as isolated…