Papers
MvP-ECR: Multi-Perspective Emotion-Cause Reasoning for Empathetic Dialogue
Yuanyuan He, Guotai Huang, Wei Li et al.
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
Ping Guo, Qingfu Zhang, Xi Lin
Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
Changzeng Fu, Shiwen Zhao, Yunze Zhang et al.
U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks
Tongtong Feng, Xin Wang, Feilin Han et al.
Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model
Zhiyi Duan, Xiangren Wang, Hongyu Yuan et al.
SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization
Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
Zihao Deng, Yijia Li, Renrui Zhang et al.
A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Clayton Cohn, Surya Rayala, Namrata Srivastava et al.
Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning
Zhuang Chen, Guanqun Bi, Wen Zhang et al.
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning
Siran Chen, Boyu Chen, Yuxiao Luo et al.
LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models
Long Chen, Xiaotian Song, Yanan Sun
Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation
Hanrui Chen, Liqi Yan, Qifan Wang et al.
Parallel Training Time-to-First-Spike Spiking Neural Networks
Kaiwei Che, Wei Fang, Peng Xue et al.
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
Honglin Cao, Shuai Wang, Zijian Zhou et al.
Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
Kiymet Akdemir, Jing Shi, Kushal Kafle et al.
Hypothesis-Driven Reasoning for Large Language Models
Aakash Kumar Agarwal, Moyuru Yamada
AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation
Junhong Zou, Wei Qiu, Zhenxu Sun et al.
Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games
Shuxin Zhuang, Linjian Meng, Shuxin Li et al.
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
Tianwen Zhu, Guangyu Wu, Zhiwei Cao et al.
Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization
Mingming Zhu, Jiahua Rao, Xiaoyu Chen et al.
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
Jiang Zhu, Yulin Jin, Qingqing Ye et al.
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
Jiajie Zhu, Xia Du, Xiaoyuan Liu et al.
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
Qingsong Zhong, Haomin Yu, Yan Lin et al.
Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models
Xinzhe Zheng, Shiyu Jiang, Gustavo Seabra et al.
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
Shiyan Zheng, Herun Wan, Minnan Luo et al.