AnySlot decouples language slot selection from control via an explicit visual goal marker and reports large zero-shot gains on SlotBench, but the provided body text does not match the abstract.
Deep se (3)-equivariant geometric reasoning for precise placement tasks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
LogicAgent uses a semiotic-square-guided approach to enhance logical reasoning in LLMs on the new RepublicQA benchmark and others, reporting average gains of 6.25% and 7.05% respectively.
citing papers explorer
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AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement
AnySlot decouples language slot selection from control via an explicit visual goal marker and reports large zero-shot gains on SlotBench, but the provided body text does not match the abstract.
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Semantic-Aware Logical Reasoning via a Semiotic Framework
LogicAgent uses a semiotic-square-guided approach to enhance logical reasoning in LLMs on the new RepublicQA benchmark and others, reporting average gains of 6.25% and 7.05% respectively.