causal reasoning - Robuta Search

https://aclanthology.org/2021.acl-long.183/ ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning - ACL Anthology Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th... causal reasoning event graph knowledge enhanced https://openreview.net/forum?id=9ljHiYuRHl&referrer=%5Bthe%20profile%20of%20Gaurav%20Rohit%20Ghosal%5D(%2Fprofile%3Fid%3D~Gaurav_Rohit_Ghosal1) Failure Modes of LLMs for Causal Reasoning on Narratives | OpenReview In this work, we investigate the causal reasoning abilities of large language models (LLMs) through the representative problem of inferring causal... failure modes causal reasoning llms narratives openreview https://aclanthology.org/2025.findings-acl.891/ ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models - ACL Anthology Martina Miliani, Serena Auriemma, Alessandro Bondielli, Emmanuele Chersoni, Lucia Passaro, Irene Sucameli, Alessandro Lenci. Findings of the Association for... large language models causal reasoning explica evaluating explicit https://arxiv.org/abs/2204.12037v8 [2204.12037v8] Causal Reasoning Meets Visual Representation Learning: A Prospective Study Abstract page for arXiv paper 2204.12037v8: Causal Reasoning Meets Visual Representation Learning: A Prospective Study causal reasoning visual representation 2204 meets https://www.southampton.ac.uk/courses/2028-29/modules/comp3224 Causal Reasoning and Machine Learning | COMP3224 | University of Southampton The broad educational goal is to enhance students' ability to reason about data generating processes, and extract, interrogate and evaluate patterns in the... causal reasoning machine learning university of southampton https://openreview.net/forum?id=OxlUWQ42xY&referrer=%5Bthe%20profile%20of%20Kostis%20Gourgoulias%5D(%2Fprofile%3Fid%3D~Kostis_Gourgoulias1) MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming | OpenReview We elaborate on using importance sampling for causal reasoning, in particular for counterfactual inference. We show how this can be implemented natively in... causal reasoning importance sampling probabilistic programming multiverse using https://www.easychair.org/publications/preprint/nngJ9 Investigating Causal Reasoning in Emerging LLM Architectures causal reasoning investigating emerging llm architectures https://hackmd.io/@fhuszar/HyAl4rvAp Causal Reasoning using universal priors - HackMD causal reasoning using universal priors hackmd https://openreview.net/forum?id=BMHkg3BL6e&referrer=%5BProgram%20Chair%20Console%5D%28%2Fgroup%3Fid%3DICML.cc%2F2025%2FWorkshop%2FWorld_Models%2FProgram_Chairs%23submission-status%29 Contextual Effects in LLM and Human Causal Reasoning | OpenReview What type of knowledge is required to infer the outcomes of everyday actions such as a glass being more likely to break when it falls onto tile than onto a... causal reasoning contextual effects llm human https://www.southampton.ac.uk/courses/2027-28/modules/comp3224 Causal Reasoning and Machine Learning | COMP3224 | University of Southampton The broad educational goal is to enhance students' ability to reason about data generating processes, and extract, interrogate and evaluate patterns in the... causal reasoning machine learning university of southampton https://openreview.net/forum?id=Lm46gJA0q8 Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code | OpenReview Counterfactual reasoning, a hallmark of intelligence, consists of three steps: inferring latent variables from observations (abduction), constructing... causal reasoning executable counterfactuals improving llms https://aclanthology.org/2026.eacl-long.56/ Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification - ACL Anthology Paul He, Yinya Huang, Mrinmaya Sachan, Zhijing Jin. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics... causal reasoning https://aclanthology.org/2022.emnlp-main.431/ ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks - ACL... Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai. Proceedings of the 2022 Conference on Empirical Methods in Natural... recurrent neural networks causal chain reco reliable reasoning https://openreview.net/forum?id=kP2p67F4G7&referrer=%5Bthe%20profile%20of%20Jovana%20Mitrovic%5D(%2Fprofile%3Fid%3D~Jovana_Mitrovic1) Neural Algorithmic Reasoning with Causal Regularisation | OpenReview Recent work on neural algorithmic reasoning has investigated the reasoning capabilities of neural networks, effectively demonstrating they can learn to execute... neural algorithmic reasoning causal regularisation https://arxiv.org/abs/2407.08029 [2407.08029] A Critical Review of Causal Reasoning Benchmarks for Large Language Models Abstract page for arXiv paper 2407.08029: A Critical Review of Causal Reasoning Benchmarks for Large Language Models https://arxiv.org/abs/2506.09853 [2506.09853] Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning Abstract page for arXiv paper 2506.09853: Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning sufficiency and necessity chain of thought 2506 causal https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.00402/full Frontiers | Concerns with the SDT approach to causal conditional reasoning: a comment on Trippas,... Signal Detection Theory (SDT; Wickens, 2002) is a prominent measurement model that characterizes observed classification responses in terms of discriminabili... https://openreview.net/forum?id=dcN0CaXQhT Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning | OpenReview Latent confounding has been a long-standing obstacle for causal reasoning from observational data. One popular approach is to model the data using acyclic... https://deepai.org/publication/causal-reasoning-and-large-language-models-opening-a-new-frontier-for-causality Causal Reasoning and Large Language Models: Opening a New Frontier for Causality | DeepAI Apr 28, 2023 - 04/28/23 - The causal capabilities of large language models (LLMs) is a matter of significant debate, with critical implications for the use ... large language models https://aclanthology.org/2023.emnlp-main.33/ How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning - ACL Anthology Hang Chen, Xinyu Yang, Jing Luo, Wenjing Zhu. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.