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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
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
JMLR 2025
Reasoning Under Distress: Mining Claims and Evidence in Mental Health Narratives
ACL 2025
Invariant Shape Representation Learning for Image Classification
WACV 2025
Inferring Past Human Actions in Homes with Abductive Reasoning
WACV 2025
Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity
WACV 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding
IJCAI 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
Mitigating Language Confusion through Inference-time Intervention
COLING 2025
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
IJCAI 2025
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
IJCAI 2025
The Delta of Thought: Channeling Rivers of Commonsense Knowledge in the Sea of Metaphorical Interpretations
IJCAI 2025
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
IJCAI 2025
Enhancing the Logical Reasoning Abilities of Large Language Models
IJCAI 2025
The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine
COLING 2025
From Causal Parrots to Causal Prophets? Towards Sound Causal Reasoning with Large Language Models
NAACL 2025
Detecting Inconsistencies in Narrative Elements of Cross Lingual Nakba Texts
COLING 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
A Practical Method for Generating String Counterfactuals
NAACL 2025
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
NAACL 2025
Causal Inference with Large Language Model: A Survey
NAACL 2025
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors
ICCV 2025
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
ICCV 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
ICCV 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise
AAAI 2025
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