Recently, coding agents have emerged as a dominant paradigm for real-world software engineering (SWE) scenarios, which solve complex tasks through multi-turn interactions with development environments. However, frequent interactions with environments would inevitably introduce substantial token overhead, leading to hig...
Hao-Bin Li, Liang Jiang, Zhen-Yu Huang et al.· 0 citations
Spatio-Temporal Event Graph Navigation is proposed, a training-free framework that extends conventional scene graphs into spatio-temporal event graphs along complementary spatial and temporal axes and demonstrates that event-driven spatio-temporal representations improve navigation reliability and cross-subtask experie...
Yang Chen, Zhen-Yu Huang, Wenbo Fu et al.· 2 citations
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.· 5 citations· ⚡1
Experimental results show that RL fine-tuning of Qwen3-32B via RobustTests achieves a 3% absolute gain on LiveCodeBench, demonstrating its effectiveness in advancing LLM code generation proficiency.
Yiwen Zhang, Xiaodong Yan, Zhen-Yu Huang et al.· 0 citations
This work proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework, facilitating comprehensive evaluation of proactive bug-fixing capability, and proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework.
Hao-Bin Li, Ping Deng, Weizhong Qian et al.· 0 citations
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