Detecting hidden confounding is crucial for reliable causal analysis from observational data, directly determining which downstream causal inference method to be deployed. Inspired by the theory of higher-order regression, recent sample-efficient hypothesis testing strategies overcome the restrictive requirement of mul...
Yi-Kai Chen, Hao-Tian Wang, Yunxin Mao et al.· Proceedings of the Thirty-Fi...· 0 citations
Empowered by large language models (LLMs), multi-agent systems (MAS) have shown significant potential in code generation by simulating collaborative workflows. However, we identify a collaboration degeneration phenomenon, where one agent dominates while others remain disengaged, occurring in 38.4% of non-routine HumanE...
Shan-Zhi Gu, Mingyang Geng, Yihong Dong et al.· Proceedings of the Thirty-Fi...· 0 citations
The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet inefficient reasoning paradigm. In this work, we rethink agentic visual reasoning through two key dimensions of tool us...
Qixun Wang, Yang Shi, Le-Tian Cheng et al.· arXiv.org· 0 citations
MaP provides a simple and effective solution for enhancing motion-centric video reasoning without model training or architectural modification, and consistently improves average motion-reasoning accuracy.
Xikai Sun, Kebin Liu, Haotian Wang et al.· 0 citations
FocusMem is introduced, which separates episodic memory and working memory within a compact latent-memory interface and consistently outperforms a fully matched action-only fixed-memory baseline and prior latent memory adaptations.
Zhuoran Zhang, Bowen Li, Jingcheng Ju et al.· 0 citations
Experimental results demonstrate that the proposed knowledge-guided hybrid reward framework significantly outperforms existing baselines in both reasoning accuracy and generalization capability, validating the effectiveness and applicability in safety-critical domains.
Hao-Tian Wang, Lian Yan, Xingzhi Yao et al.· 2 citations
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