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Methodology
← Reasoning
Knowledge & Reasoning
›
Reasoning
›
Causal Inference
934 directly classified papers
Papers per year
2006: 3
2007: 2
2008: 9
2009: 5
2010: 8
2011: 5
2012: 4
2013: 11
2014: 7
2015: 11
2016: 18
2017: 14
2018: 32
2019: 69
2020: 91
2021: 82
2022: 129
2023: 158
2024: 160
2025: 107
2026: 9
Papers
Exploring Causal Mechanisms for Machine Text Detection Methods
NAACL 2024
Domain Adaptation under Missingness Shift
AISTATS 2023
Language Model Analysis for Ontology Subsumption Inference
ACL 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Discourse Information for Document-Level Temporal Dependency Parsing
ACL 2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
ACL 2023
Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths
ACL 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
ACL 2023
Knowledge Graph-augmented Language Models for Complex Question Answering
ACL 2023
Choose your Data Wisely: A Framework for Semantic Counterfactuals
IJCAI 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
AISTATS 2023
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
ACL 2023
Robust Causal Graph Representation Learning against Confounding Effects
AAAI 2023
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
AAAI 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations
ACL 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies
AISTATS 2023
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification
IJCAI 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
ACL 2023
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference
ACL 2023
Can ChatGPT Understand Causal Language in Science Claims?
ACL 2023
Causal Bounds in Quasi-Markovian Graphs
ICML 2023
Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions
EACL 2023
A New Causal Decomposition Paradigm towards Health Equity
AISTATS 2023
Learning Causal Effects on Hypergraphs (Extended Abstract)
IJCAI 2023
Differentiable and Transportable Structure Learning
ICML 2023
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