Papers
176,624 papers found
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis
Lei-Lei Li, Jianwu Fang, Junbin Xiao et al.
Causal Estimation of Tokenisation Bias
Pietro Lesci, Clara Meister, Thomas Hofmann et al.
CausalEval: Towards Better Causal Reasoning in Language Models
Longxuan Yu, Delin Chen, Siheng Xiong et al.
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 Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan 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 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 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.
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
Nengbo Wang, Xiaotian Han, Jagdip Singh et al.
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
Zihan Liang, Ziwen Pan, Ruoxuan Xiong
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
Tao Feng, Lizhen Qu, Xiaoxi Kang et al.