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Jiang-Feng Su

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Preprint Sep 2026

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

Embodied navigation requires agents to ground instructions or object goals in spatial observations and translate plans into successful execution. As multimodal large language models (MLLMs) become increasingly capable, they offer stronger support for navigation without task-specific training; however, improved semantic...

Yang Chen, Li-Rong Che, Zhen-Yu Huang et al. · 4 citations · ⚡1

Preprint Aug 2026

CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning

CoBench is introduced, a construct-level benchmark for evaluating multi-agent embodied coordination in executable household tasks and shows that coordination ability is highly construct-specific: strong overall performance does not imply balanced competence across different coordination types.

Yang Chen, Ye-Xin Xie, Li-Rong Che et al. · 0 citations

#natural language process... Preprint Aug 2026

When History Is Multimodal: Rethinking Context Management for Long-Horizon Agents

VERA (Visual Evidence-Retaining strategy for long-horizon Agents), a training-free context manager built on deterministic rendering with no exposed memory operations, supporting a modality-preserving view of long-horizon context management.

Jiang-Feng Su, Cong Pang, Jiawei Hong et al. · 1 citation