Modern large language models generate texts that are virtually indistinguishable from those
written by humans and achieve near-human performance in comprehension and reasoning …

Point cloud registration is a fundamental task for estimating the rigid transformation matrix
between two point clouds, and is regarded as a prerequisite for downstream vision tasks …

Despite its significant progress, cross-modal retrieval still suffers from one-to-many matching
cases, where the multiplicity of semantic instances in another modality could be acquired by …

Taxonomies, which organize knowledge hierarchically, support various practical web
applications such as product navigation in online shop** and user profile tagging on …

Last year has witnessed the re-flourishment of tag-aware recommender systems supported
by the LLM-enriched tags. Unfortunately, though large efforts have been made, current …

In many search applications related to passage retrieval, text entailment, and subgraph
search, the query and each'document'is a set of elements, with a document being relevant if …

Modeling and visualizing relationships between tasks or datasets is an important step
towards solving various meta-tasks such as dataset discovery multi-tasking and transfer …

In recent years, considerable research has been conducted on vision-language models that
handle both image and text data; these models are being applied to diverse downstream …

Taxonomy Expansion, which relies on modeling concepts and concept relations, can be
formulated as a set representation learning task. The generalization of set, fuzzy set …