"counterfactual reasoning" Papers

14 papers found

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Chenhao Tan, Robert Ness, Amit Sharma et al.

ICLR 2025arXiv:2305.00050
403
citations

From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy

Julian Dörfler, Benito van der Zander, Markus Bläser et al.

ICLR 2025arXiv:2405.07373
5
citations

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Xuehai He, Weixi Feng, Kaizhi Zheng et al.

ICLR 2025arXiv:2406.08407
36
citations

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Shihao Wang, Zhiding Yu, Xiaohui Jiang et al.

CVPR 2025arXiv:2504.04348
86
citations

ReGen: Generative Robot Simulation via Inverse Design

Peter (Phat) Nguyen, Johnson (Tsun-Hsuan) Wang, Zhang-Wei Hong et al.

ICLR 2025arXiv:2511.04769
4
citations

Rethinking Visual Counterfactual Explanations Through Region Constraint

Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej et al.

ICLR 2025arXiv:2410.12591
11
citations

Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning

Chaoyang Li, Runze Ye, Jianyang Qin et al.

NEURIPS 2025

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang et al.

AAAI 2025paperarXiv:2412.15619
7
citations

Universal Causal Inference in a Topos

Sridhar Mahadevan

NEURIPS 2025spotlight
2
citations

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Ming-Kun Xie, Jia-Hao Xiao, Pei Peng et al.

ICML 2024arXiv:2404.06287
9
citations

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

Xuexin Chen, Ruichu Cai, Zhengting Huang et al.

ICML 2024arXiv:2402.08845
5
citations

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

Junyi Zou, Matthew Levine, Dessi Zaharieva et al.

ICML 2024arXiv:2402.17233
10
citations

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Aditya Aravind Chinchure, Pushkar Shukla, Gaurav Bhatt et al.

ECCV 2024arXiv:2312.01261
49
citations

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng et al.

AAAI 2024paperarXiv:2312.13594
10
citations