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Found 5 papers, 1 papers with code
Cross-domain Chinese Sentence Pattern Parsing
Sentence Pattern Structure (SPS) parsing is a syntactic analysis method primarily employed in language teaching. Existing SPS parsers rely heavily on textbook corpora for training, lacking cross-domain capability. To overcome this constraint, this paper proposes an innovative approach leveraging large language models (LLMs) within a self-training framework.
From Text to CQL: Bridging Natural Language and Corpus Search Engine
This paper presents the first text-to-CQL task that aims to automate the translation of natural language into CQL.
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image
However, existing methods cannot deal with large scenes containing hundreds of people, which encounter the challenges of large number of people, large variations in human scale, and complex spatial distribution.
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation
The CGG task capitalizes on the calibrated multiview videos of a dynamic scene, and targets at recovering semantic information (coordination, trajectories and relationships) of the presented objects in the form of spatio-temporal context graph in 4D space.
DartBlur: Privacy Preservation With Detection Artifact Suppression
Facial information is particularly sensitive in this regard.
