Jinnan Li — accepted AI-conference papers

2026

MCOO-SLAM: A Multi-Camera Omnidirectional Object SLAM System

Miaoxin Pan, Jinnan Li, Yaowen Zhang, Tao Wang, Yufeng Yue, Yi Yang +1

RA-L 2026

Object-level SLAM offers structured and semantically meaningful environment representations, making it more interpretable and suitable for high-level robotic tasks. However, most existing approaches rely on RGB-D sensors or monocular views, which suffer from narrow fields of view, occlusion sensitiv

Cited by 2 Source ↗Scholar ↗

2025

StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following

Jinnan Li, Jinzhe Li, Yue Wang, Yi Chang, Yuan Wu

ACL 2025finding

Multi-turn instruction following capability constitutes a core competency of large language models (LLMs) in real-world applications. Existing evaluation benchmarks predominantly focus on fine-grained constraint satisfaction and domain-specific capability assessment, yet overlook the crucial structu…

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