1 citations · 1 across the 4 of their papers we have counts for
4 papers
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
Ziyang Zhou, Ziqi Liu, Yan Wang +2
Sarcasm detection remains a significant challenge due to its reliance on nuanced contextual understanding, world knowledge, and multi-faceted linguistic cues that vary substantiall…
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
Yiming Lin, Shang Wang, Junkai Zhou +3
Single Positive Multi-Label Learning (SPMLL) addresses the challenging scenario where each training sample is annotated with only one positive label despite potentially belonging t…
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin, Yuchen Niu, Shang Wang +3
Context recognition (SR) is a fundamental task in computer vision that aims to extract structured semantic summaries from images by identifying key events and their associated enti…
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang +1
Panoramic Narrative Grounding (PNG) is an emerging visual grounding task that aims to segment visual objects in images based on dense narrative captions. The current state-of-the-a…