Papers
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
Zihan Liang, Ziwen Pan, Ruoxuan Xiong
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk et al.
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
Tao Feng, Lizhen Qu, Xiaoxi Kang et al.
Causal Temporal Regime Structure Learning
Abdellah Rahmani, Pascal Frossard
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension
Sakiko Yahata, Zhen Wan, Fei Cheng et al.
Causal Understanding by LLMs: The Role of Uncertainty
Oscar William Lithgow-Serrano, Vani Kanjirangat, Alessandro Antonucci
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai, Kaitao Zheng, Junxian Huang et al.
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
Aneesh Komanduri, Karuna Bhaila, Xintao Wu
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases
Huanjia Zhu, Yishu Liu, Xiaozhao Fang et al.
Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions
Xinbei Ma, Yiting Wang, Yao Yao et al.
Cautious Next Token Prediction
Yizhou Wang, Lingzhi Zhang, Yue Bai et al.
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee et al.
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments
Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou et al.
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
Xiaohu Li, Yunfeng Ning, Zepeng Bao et al.
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
Dejia Xu, Yifan Jiang, Chen Huang et al.
CAVIS: Context-Aware Video Instance Segmentation
Seunghun Lee, Jiwan Seo, Kiljoon Han et al.
CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment
Edson Araujo, Andrew Rouditchenko, Yuan Gong et al.
CAX: Cellular Automata Accelerated in JAX
Maxence Faldor, Antoine Cully
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin, Guojiang Zhao, Odin Zhang et al.
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
Pankaj Bhagwat, Linglong Kong, Bei Jiang
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
Jiaxuan Zhao, Naibin Gu, Yuchen Feng et al.
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding, Xiaoyu Liu, Zhijun Tu et al.
CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI
Chang Li, Yamin Li, Haatef Pourmotabbed et al.
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Jiquan Wang, Sha Zhao, Zhiling Luo et al.
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
Mian Zhang, Xianjun Yang, Xinlu Zhang et al.