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I-PHYRE: Interactive Physical Reasoning
Current evaluation protocols predominantly assess physical reasoning in stationary scenes, creating a gap in evaluating agents' abilities to interact with dynamic events.
On the Learning Mechanisms in Physical Reasoning
Taken together, the results on the challenging benchmark of PHYRE show that LfI is, if not better, as good as LfD for dynamics prediction.
Extracting Entities and Relations with Joint Minimum Risk Training
We investigate the task of joint entity relation extraction.
Ranked #1 on
Relation Extraction
on ACE 2005
(Sentence Encoder metric)
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