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Causal Inference

3310 directly classified papers

Papers per year

Papers

Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models ACL 2025
InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025
Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities ACL 2025
ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models ACL 2025
CausalLink: An Interactive Evaluation Framework for Causal Reasoning ACL 2025
STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond ACL 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025
Medical World Model ICCV 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
Toward Causal Generative Modeling: From Representation to Generation AAAI 2025
ArgoTweak: Towards Self-Updating HD Maps through Structured Priors ICCV 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025
Representation Learning: A Causal Perspective AAAI 2025
Germane Conflicts: Desirable Properties for Localising Inconsistency AAAI 2025
Causally Consistent Normalizing Flow AAAI 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching AAAI 2025
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness AAAI 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective ACL 2025