Pre-trained encoder-decoder transformers fine-tuned for sequence-to-sequence constituent parsing outperform prior seq2seq models and compete with specialized parsers on continuous treebanks.
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Proactive lane-changing at eight meters improves human ratings of robot motion in frontal hallway approaches according to a 42-participant study, with no advantage shown at intersections.
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Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
Pre-trained encoder-decoder transformers fine-tuned for sequence-to-sequence constituent parsing outperform prior seq2seq models and compete with specialized parsers on continuous treebanks.
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Look Further: Socially-Compliant Navigation System in Residential Buildings
Proactive lane-changing at eight meters improves human ratings of robot motion in frontal hallway approaches according to a 42-participant study, with no advantage shown at intersections.