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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
Causal Modeling with Stationary Diffusions
AISTATS 2024
Implicit Personalization in Language Models: A Systematic Study
EMNLP 2024
The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning
EMNLP 2024
SALMON: A Structure-Aware Language Model with logicality and densification strategy for Temporal Knowledge Graph Reasoning
EMNLP 2024
Proximal Causal Inference for Synthetic Control with Surrogates
AISTATS 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
EMNLP 2024
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
CONLL 2024
Abstract-level Deductive Reasoning for Pre-trained Language Models
COLING 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NIPS 2024
Data-driven bifurcation analysis via learning of homeomorphism
L4DC 2024
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
CLEAR: Can Language Models Really Understand Causal Graphs?
EMNLP 2024
CELLO: Causal Evaluation of Large Vision-Language Models
EMNLP 2024
Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
EMNLP 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
NIPS 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
EMNLP 2024
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
EMNLP 2024
Discovering Heterogeneous Causal Effects in Relational Data
AAAI 2024
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
AAAI 2024
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
AAAI 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Generalized Planning for the Abstraction and Reasoning Corpus
AAAI 2024
Taming Generative Diffusion Prior for Universal Blind Image Restoration
NIPS 2024
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extraction
EMNLP 2024
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