Papers
CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding
Yifan Zhuang, Calvin Huang, Zepeng Yu et al.
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
Yanshu Li, Jianjiang Yang, Zhennan Shen et al.
CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models
Mengfei Zhang, Zhenglin Wang
CatVLM: Enhancing Temporal Understanding in Cataract Surgery Videos with Boundary-Aware VLM
Jay N. Paranjape, Nisarg Shah, Nanthini Narayanan et al.
Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token
Ailiang Lin, Zhuoyun Li, Yusong Wang et al.
Causal Activation Steering via Sparse Mediation
Toan Doan, Uyen Le, Thin Nguyen
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images
Bo Liu, Qiao Qin, Qinghui He
Causal Decoupling Domain Generalization for Remote Sensing Change Detection
Jiaqi Zhao, Jianpeng Xie, Yong Zhou et al.
Causal Direct Preference Optimization for Language Model Alignment
Uyen Le, Thin Nguyen, Toan Nguyen et al.
Causal Discovery from Interval-Based Event Sequences
Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken
Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models
Ran Jing, Geng Tu, Yice Zhang et al.
Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal Inference
Xv Wang, Wang Zhenyu, Guanyu Zheng et al.
Causal Explanations for Sequential Decision Making (Abstract Reprint)
Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman et al.
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
Zhe Xu, Zhicai Wang, Junkang Wu et al.
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects
Kohsuke Kubota, Shonosuke Sugasawa
Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval
Haipeng Chen, Yu Liu, Xun Yang et al.
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
Hongye Cao, Tianpei Yang, Fan Feng et al.
Causality-Driven Audits of Model Robustness
Nathan Drenkow, William Paul, Chris Ribaudo et al.
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
Yuxuan Liu, Wenchao Xu, Haozhao Wang et al.
Causality Matters: How Temporal Information Emerges in Video Language Models
Yumeng Shi, Quanyu Long, Yin Wu et al.
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
Jingxin Liu, Wenxuan Tu, Haotian Wang et al.
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
Liu Yu, Zhonghao Chen, Ping Kuang et al.
CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing
Chathurangi Shyalika, Utkarshani Jaimini, Cory Henson et al.
Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction
Ruike Song, Zeen Song, Huijie Guo et al.