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
This work introduces HarnessVLN, a zero-shot, training-free framework that unifies instruction-following and object-goal navigation through a shared Agent Harness and demonstrates its applicability to both navigation tasks in real-world environments.
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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