Papers
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)
Katherine M. Guerrerio, Lujie Karen Chen, Lisa Berlin et al.
CausalGraph2LLM: Evaluating LLMs for Causal Queries
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
Causal Graph based Event Reasoning using Semantic Relation Experts
Mahnaz Koupaee, Xueying Bai, Mudan Chen et al.
CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery
Nikolay Babakov, Ehud Reiter, Alberto Bugarín-Diz
Causal Graphical Models for Vision-Language Compositional Understanding
Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto et al.
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
Anpeng Wu, Haiyi Qiu, Zhengming Chen et al.
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.
Causal Information Prioritization for Efficient Reinforcement Learning
Hongye Cao, Fan Feng, Tianpei Yang et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions
Sasha Boguraev, Christopher Potts, Kyle Mahowald
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Mengyu Gao, Qiulei Dong
Causality-Inspired Disentanglement for Fair Graph Neural Networks
Guixian Zhang, Debo Cheng, Guan Yuan et al.
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
Jiaming Ma, Zhiqing Cui, Binwu Wang et al.
CausalLink: An Interactive Evaluation Framework for Causal Reasoning
Jinyue Feng, Frank Rudzicz
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery
Amartya Roy, N Devharish, Shreya Ganguly et al.
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu
Causally Modeling the Linguistic and Social Factors that Predict Email Response
Yinuo Xu, Hong Chen, Sushrita Rakshit et al.
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern et al.
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren et al.
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar et al.
Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data
Yujia Li, Han Li, S Kevin Zhou
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
Congzhi Zhang, Linhai Zhang, Jialong Wu et al.