In the text-to-image generation field, recent remarkable progress in Stable Diffusion makes it
possible to generate rich kinds of novel photorealistic images. However, current models still …

It has been a hot research topic to enable machines to understand human emotions in
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …

As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …

Existing research of video understanding still struggles to achieve in-depth comprehension
and reasoning in complex videos, primarily due to the under-exploration of two key …

Despite considerable progress, the advancement of Panoptic Narrative Grounding (PNG)
remains hindered by costly annotations. In this paper, we introduce a novel Semi …

Chinese diachronic gap is a key issue in classical Chinese machine reading
comprehension (CCMRC). Preceding work on bridging this gap has been mostly restricted …

Cross-domain recommendation (CDR), which leverages information collected from other
domains, has been empirically demonstrated to effectively alleviate data sparsity and cold …

Recent advancements in single-stage Panoptic Narrative Grounding (PNG) have
demonstrated significant potential. These methods predict pixel-level masks by directly …

Abstract Question Answering over Knowledge Graphs (KGQA) blends natural language
processing with structured knowledge representation. While much attention of existing …

Event extraction (EE) is a critical direction in the field of information extraction, laying an
important foundation for the construction of structured knowledge bases. EE from text has …