3 citations · 4 across the 7 of their papers we have counts for
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cs.AI2025
Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents
Seohui Bae, Jeonghye Kim, Youngchul Sung +1
In this paper, we propose a test-time adaptive agent that performs exploratory inference through posterior-guided belief refinement without relying on gradient-based updates or add…
cs.AI2023★ 1 cited
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?
Chanhui Lee, Juhyeon Kim, Yongjun Jeong +9
Scaling laws have allowed Pre-trained Language Models (PLMs) into the field of causal reasoning. Causal reasoning of PLM relies solely on text-based descriptions, in contrast to ca…