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Methodology
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Artificial Intelligence
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Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
NAACL 2025
Causally Modeling the Linguistic and Social Factors that Predict Email Response
NAACL 2025
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation
NAACL 2025
CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents
COLING 2025
Detecting Inconsistencies in Narrative Elements of Cross Lingual Nakba Texts
COLING 2025
The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine
COLING 2025
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
NAACL 2025
Generating Diverse Hypotheses for Inductive Reasoning
NAACL 2025
The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding
NAACL 2025
Emergence-Inspired Multi-Granularity Causal Learning
AAAI 2025
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results
IJCAI 2025
Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning
NAACL 2025
Are explicit belief representations necessary? A comparison between Large Language Models and Bayesian probabilistic models
NAACL 2025
CausalGraph2LLM: Evaluating LLMs for Causal Queries
NAACL 2025
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
NAACL 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
ICCV 2025
Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
NAACL 2025
FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
NAACL 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
ICCV 2025
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors
ICCV 2025
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
AAAI 2025
Goal-Driven Reasoning in DatalogMTL with Magic Sets
AAAI 2025
Toward Falsifying Causal Graphs Using a Permutation-Based Test
AAAI 2025
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
ICCV 2025
Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing
COLING 2025
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