:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Compagno, Dario, Zennaro, Fabio Massimo
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.18968
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aligning Graphical and Functional Causal Abstractions
by: Schooltink, Willem, et al.
Published: (2024)

Multi-Level Causal Embeddings
by: Schooltink, Willem, et al.
Published: (2026)

Causal Abstraction Learning based on the Semantic Embedding Principle
by: D'Acunto, Gabriele, et al.
Published: (2025)

Causally Abstracted Multi-armed Bandits
by: Zennaro, Fabio Massimo, et al.
Published: (2024)

Identifying Intended Effects with Causal Models
by: Compagno, Dario
Published: (2024)

Debiasing Reward Models via Causally Motivated Inference-Time Intervention
by: Shinoda, Kazutoshi, et al.
Published: (2026)

CIVeX: Causal Intervention Verification for Language Agents
by: Rovai, Fabio
Published: (2026)

Individual Causal Inference with Structural Causal Model
by: Chang, Daniel T.
Published: (2025)

DODO: Causal Structure Learning with Budgeted Interventions
by: Gregorini, Matteo, et al.
Published: (2025)

Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being
by: Yin, Bin, et al.
Published: (2025)

Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding
by: Lohner, Aaron, et al.
Published: (2024)

Causal Discovery by Interventions via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)

On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models
by: Lucas, Peter J. F., et al.
Published: (2026)

Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
by: Toth, Christian, et al.
Published: (2024)

Test-Time Learning of Causal Structure from Interventional Data
by: Chen, Wei, et al.
Published: (2026)

CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification
by: Wang, Yian, et al.
Published: (2026)

$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
by: Poonia, Harsh, et al.
Published: (2024)

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)

Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
by: Okita, Tsuyoshi
Published: (2026)

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model
by: Cao, Shiyue, et al.
Published: (2026)

Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
by: Mastromattei, Michele, et al.
Published: (2024)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
by: Boguraev, Sasha, et al.
Published: (2025)

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
by: Xu, Zhe, et al.
Published: (2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
by: Sun, Chuxiong, et al.
Published: (2024)

CausalMMM: Learning Causal Structure for Marketing Mix Modeling
by: Gong, Chang, et al.
Published: (2024)

Intervention and Conditioning in Causal Bayesian Networks
by: Galhotra, Sainyam, et al.
Published: (2024)

Linear Causal Discovery with Interventional Constraints
by: Guo, Zhigao, et al.
Published: (2025)

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks
by: Sun, Wentao, et al.
Published: (2025)

Biological Regulatory Network Inference through Circular Causal Structure Learning
by: Jiang, Hongyang, et al.
Published: (2025)

Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
by: Arroyo, João P., et al.
Published: (2025)

Towards Causal Foundation Model: on Duality between Causal Inference and Attention
by: Zhang, Jiaqi, et al.
Published: (2023)

Diagnosing Causal Reasoning in Vision-Language Models via Structured Relevance Graphs
by: Pratama, Dhita Putri, et al.
Published: (2026)

Causal Inference in Energy Demand Prediction
by: Ma, Chutian, et al.
Published: (2025)

Intention Knowledge Graph Construction for User Intention Relation Modeling
by: Bai, Jiaxin, et al.
Published: (2024)

Large Language Models as Co-Pilots for Causal Inference in Medical Studies
by: Alaa, Ahmed, et al.
Published: (2024)

Causal Inference with Large Language Model: A Survey
by: Ma, Jing
Published: (2024)

Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
by: Kim, Myung Ho
Published: (2025)

Causal computations in Semi Markovian Structural Causal Models using divide and conquer
by: Bjøru, Anna Rodum, et al.
Published: (2025)

Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022)

SCOPE: Sequential Causal Optimization of Process Interventions
by: De Moor, Jakob, et al.
Published: (2025)