5 accepted papers
Dynamic Text-Attributed Graphs (DyTAGs) are a novel graph paradigm that captures evolving temporal events (edges) alongside rich textual attributes. Existing studies can be broadly categorized into TGNN-driven and LLM-driven approaches, both of which encode textual attributes and temporal structures
Large context window is a desirable feature in large language models (LLMs). However, due to high fine-tuning costs, scarcity of long texts, and catastrophic values introduced by new token positions, current extended context windows are limited to around 128k tokens. This paper introduces LongRoPE t…
Few-shot nested named entity recognition (NER), identifying named entities that are nested with a small number of labeled data, has attracted much attention. Recently, a span-based method based on three stages ( focusing, bridging and prompting) has been proposed for few-shot nested NER. However, su…
Few-shot named entity recognition (NER), identifying named entities with a small number of labeled data, has attracted much attention. Frequently, entities are nested within each other. However, most of the existing work on few-shot NER addresses flat entities instead of nested entities. To tackle n…
Panoramic or 360-degree virtual reality videos have high resolution, frame rate, and visual quality that demand efficient coding. Although a user watching a 360-degree video can switch viewing angles, only a portion of the video in the user’s Field of View (FoV) is displayed at any time. In this pap…