Papers
Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language
Mario Alviano, Lorenzo Grillo, Fabrizio Lo Scudo et al.
Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation
Gianvincenzo Alfano, Adam Gould, Francesco Leofante et al.
Featured Argumentation Framework: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals
Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini et al.
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
Wei Chen, Jiahao Zhang, Haipeng Zhu et al.
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions
Xuehan Zhao, Jiaqi Liu, Xin Zhang et al.
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition
Xinyue Zhang, Zhaoxia Wang, Hailing Wang et al.
Adaptive Deep Learning from Crowds
Hang Yang, Zhiwu Li, Witold Pedrycz
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening
Haiwei Xue, Zhensong Zhang, Minglei Li et al.
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment
Wuyuan Xie, Tingcheng Bian, Miaohui Wang
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition
Shuang Wu, Heng Liang, Yong Zhang et al.
HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models
Qingshun Wu, Yafei Li, Lulu Li et al.
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks
Huabin Wang, Jie Ruan, Cunhang Fan et al.
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
Kai Sun, Peibo Duan, Levin Kuhlmann et al.
Community-Aware Graph Transformer for Brain Disorder Identification
Shengbing Pei, Jiajun Ma, Zhao Lv et al.
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
Jingying Ma, Qika Lin, Ziyu Jia et al.
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection
Lu Li, Cunhang Fan, Hongyu Zhang et al.
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
Jiaqiang Jiang, Lei Wang, Runhao Jiang et al.
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
Koki Iwai, Yusuke Kumagae, Yuki Koyama et al.
Stochasticity-aware No-Reference Point Cloud Quality Assessment
Songlin Fan, Wei Gao, Zhineng Chen et al.
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection
Cunhang Fan, Xiaoke Yang, Hongyu Zhang et al.
Inference of Human-derived Specifications of Object Placement via Demonstration
Alex Cuellar, Ho Chit Siu, Julie A Shah
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing
Wei Chen, Yafei Li, Baolong Mei et al.
Binary Event-Driven Spiking Transformer
Honglin Cao, Zijian Zhou, Wenjie Wei et al.