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Causal Inference

3310 directly classified papers

Papers per year

Papers

Causal Activation Steering via Sparse Mediation EACL 2026

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing AAAI 2026

The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going? AAAI 2026

Towards a Common Framework for Autoformalization AAAI 2026

Empowering LLMs with Symbolic Representation and Reasoning AAAI 2026

Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract) AAAI 2026

POLICYGRID: Causal Discovery for Adaptive Policy Optimization in Embodied Agents (Student Abstract) AAAI 2026

Do Large Language Models (LLMs) Understand Chronology? (Student Abstract) AAAI 2026

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2026

The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence AAAI 2026

Toward Trustworthy AI for Decision Making in Population Health AAAI 2026

Toward Causal Foundation World Models: From Representation to Decision-Making AAAI 2026

Recursive Causal Discovery (Abstract Reprint) AAAI 2026

Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026

Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint) AAAI 2026

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint) AAAI 2026

Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation AAAI 2026

Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems AAAI 2026

Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026

Measuring Model Performance in the Presence of an Intervention AAAI 2026

Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026

Language Models and Logic Programs for Trustworthy Tax Reasoning AAAI 2026

Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents AAAI 2026

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026

Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs AAAI 2026