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20202026
most citedLarge Language Models as Commonsense Knowledge for Large-Scale Task Planning

41 citations · 83 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.RO2022★ 1 cited

Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement

Zirui Zhao, Wee Sun Lee, David Hsu

We present a new method, PARsing And visual GrOuNding (ParaGon), for grounding natural language in object placement tasks. Natural language generally describes objects and spatial…

cs.CL2022★ 4 cited

None Class Ranking Loss for Document-Level Relation Extraction

Yang Zhou, Wee Sun Lee

Document-level relation extraction (RE) aims at extracting relations among entities expressed across multiple sentences, which can be viewed as a multi-label classification problem…

cs.LG2022

Graph Representation Learning with Individualization and Refinement

Mohammed Haroon Dupty, Wee Sun Lee

Graph Neural Networks (GNNs) have emerged as prominent models for representation learning on graph structured data. GNNs follow an approach of message passing analogous to 1-dimens…

cs.AI2022

Context-Hierarchy Inverse Reinforcement Learning

Wei Gao, David Hsu, Wee Sun Lee

An inverse reinforcement learning (IRL) agent learns to act intelligently by observing expert demonstrations and learning the expert's underlying reward function. Although learning…

cs.AI2022★ 1 cited

ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search

Dixant Mittal, Siddharth Aravindan, Wee Sun Lee

Online tree-based search algorithms iteratively simulate trajectories and update action-values for a set of states stored in a tree structure. It works reasonably well in practice…