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← Reasoning
Knowledge & Reasoning
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Reasoning
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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 Backward Reasoning in Large Language Models
NAACL 2025
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting
AAAI 2025
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals
IJCAI 2025
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
CLEAR 2025
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
ACL 2025
Higher-order Logical Knowledge Representation Learning
IJCAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
CoRE: Condition-based Reasoning for Identifying Outcome Variance in Complex Events
ACL 2025
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
NAACL 2025
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery
IJCAI 2025
On the Reliability of Large Language Models for Causal Discovery
ACL 2025
On the Consistency of Commonsense in Large Language Models
ACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
NAACL 2025
Correcting on Graph: Faithful Semantic Parsing over Knowledge Graphs with Large Language Models
ACL 2025
Causal Graph based Event Reasoning using Semantic Relation Experts
ACL 2025
CausalLink: An Interactive Evaluation Framework for Causal Reasoning
ACL 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
CVPR 2025
Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality
COLING 2025
The Financial Document Causality Detection Shared Task (FinCausal 2025)
COLING 2025
Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs
COLING 2025
PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning
COLING 2025
Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask
COLING 2025
Structured Knowledge meets GenAI: A Framework for Logic-Driven Language Models
COLING 2025
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
COLING 2025
Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities
ACL 2025
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