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Causal Inference

3310 directly classified papers

Papers per year

Papers

End-To-End Causal Effect Estimation from Unstructured Natural Language Data NIPS 2024
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models ACL 2024
Can LLMs Handle Low-Resource Dialects? A Case Study on Translation and Common Sense Reasoning in Šariš NAACL 2024
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models ACL 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024
Do large language models and humans have similar behaviours in causal inference with script knowledge? NAACL 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text NAACL 2024
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024
DoubleLingo: Causal Estimation with Large Language Models NAACL 2024
Puzzle Solving using Reasoning of Large Language Models: A Survey EMNLP 2024
Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024
On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024
ECON: On the Detection and Resolution of Evidence Conflicts EMNLP 2024
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering EMNLP 2024
BeLeaf: Belief Prediction as Tree Generation NAACL 2024
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving EMNLP 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NIPS 2024
VarDial Evaluation Campaign 2024: Commonsense Reasoning in Dialects and Multi-Label Similar Language Identification NAACL 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
Informing climate risk analysis using textual information - A research agenda ACL 2024
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024