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rancorous    音标拼音: [r'æŋkɚəs]
a. 深恨的,怀恶意的

深恨的,怀恶意的

rancorous
adj 1: showing deep-seated resentment; "preserve...from
rancourous envy of the rich"- Aldous Huxley

Rancorous \Ran"cor*ous\ (r[a^][ng]"k[~e]r*[u^]s), a. [OF.
rancuros.]
Full of rancor; evincing, or caused by, rancor; deeply
malignant; implacably spiteful or malicious; intensely
virulent.
[1913 Webster]

So flamed his eyes with rage and rancorous ire.
--Spenser.
[1913 Webster]


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  • Predict Before You Explore: Predictive Planning with Specialized Memory . . .
    Motivated by this predictive-processing perspective, we introduce Predict Before You Explore (Pred-EQA), an EQA architecture that implements a prediction-correction loop through jointly designed planning and memory mech-anisms
  • GitHub - yuanrr Pred-EQA: [CVPR 26] Predict Before You Explore . . .
    This repository contains the official implementation of "Predict Before You Explore: Predictive Planning with Specialized Memory for Embodied Question Answering" (CVPR 2026)
  • [Paper Note] Predict Before You Explore: Predictive Planning with . . .
    Key Insight: The authors leverage the perspective of predictive processing active inference from cognitive science—humans do not passively respond to sensory inputs but actively predict future observations based on priors, correcting these priors when predictions fail
  • CVPR 2026 Open Access Repository
    Guided by this perspective, we propose Predict Before You Explore (Pred-EQA), an architecture that integrates predictive planning with specialized memory A high-level planner predicts where question-relevant evidence is likely to appear and generates a compact set of actionable exploration branches encoding long-horizon intent
  • Predict Before You Explore: Predictive Planning with Specialized Memory . . .
    Guided by this perspective, we propose Predict Before You Explore (Pred-EQA), an architecture that integrates predictive planning with specialized memory A high-level planner predicts where question-relevant evidence is likely to appear and generates a compact set of actionable exploration branches encoding long-horizon intent
  • [CVPR 2026] Predict Before You Explore Pred-EQA - YouTube
    Official Video for CVPR 2026 Paper: Predict Before You Explore: Predictive Planning with Specialized Memory for Embodied Question Answering more
  • 进入心智宫殿：长期主动具身问答的推理与规划 | alphaXiv
    “思维宫殿探索”框架通过整合长期、多情景记忆与主动环境探索，使具身机器人能够回答复杂问题。 在新的长期主动具身问答（LA-EQA）任务中，它比基线方法展示了高出12-28%的答案正确率和减少77%的检索图像，并成功部署在1,000平方米办公室中的真实机器人上。 长期主动具身问答（LA-EQA）解决了当前机器人领域的一个根本性限制：机器人无法在回答有关其环境的问题时，有效结合长期记忆和主动探索。 传统的具身问答（EQA）系统分为两类——一类是从头开始探索环境，不利用过去的经验；另一类则完全依赖于单次记录数据。 这两种方法都未能捕捉到人类如何通过大量过去的经验并在积极收集新信息的同时，自然地对环境进行推理。
  • [2505. 13948] Memory-Centric Embodied Question Answering
    Embodied Question Answering (EQA) requires agents to autonomously explore and comprehend the environment to answer context-dependent questions Typically, an EQA framework consists of four components: a planner, a memory module, a stopping module, and an answering module
  • ‪Bowen Yuan‬ - ‪Google 学术搜索‬
    Proceedings of the IEEE CVF Conference on Computer Vision and Pattern …





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