5 papers
DiaRelay: Relaying Dialogue Context with a Constant-Size Memory for Emotion Recognition in Conversation
Zihao Zhou, Bin Yang, Jinghui Qin +1
Emotion Recognition in Conversation (ERC) requires models to identify subtle emotional cues that are often distributed across distant dialogue turns. Existing methods typically inc…
ISPCloak: Weaponizing ISP for Optimization-Free Physical Camouflage against Deepfake Detectors
Jiale Zhao, Jiajun Wan, Lei Tang +3
The rapid advancement of generative models has spurred the critical need to evaluate the worst-case robustness of deepfake detectors. In this paper, we reveal a fundamental blind s…
EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization
Lihuang Fang, Yuchen Zou, kebin Jin +2
Multimodal large language models (MLLMs) have achieved impressive performance in multimodal emotion recognition (MER) tasks and lifted MER to a new level that is complex emotion un…
Prototype-Regularized Federated Learning for Cross-Domain Aspect Sentiment Triplet Extraction
Zongming Cai, Jianhang Tang, Zhenyong Zhang +3
Aspect Sentiment Triplet Extraction (ASTE) aims to extract all sentiment triplets of aspect terms, opinion terms, and sentiment polarities from a sentence. Existing methods are typ…
Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models
Wenkai Yu, Jianhang Tang, Yang Zhang +4
Addressing large-scale planning problems has become one of the central challenges in the planning community, deriving from the state-space explosion caused by growing objects and a…