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Causal Inference

3310 directly classified papers

Papers per year

Papers

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

DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024

Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024

Guided Knowledge Generation with Language Models for Commonsense Reasoning EMNLP 2024

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning EMNLP 2024

A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024

FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024

Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans EMNLP 2024

Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models EMNLP 2024

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024

Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection EMNLP 2024

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024

Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse EMNLP 2024

Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024

Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024

SLANG: New Concept Comprehension of Large Language Models EMNLP 2024

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024

CELLO: Causal Evaluation of Large Vision-Language Models EMNLP 2024

Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024

Testing Semantic Importance via Betting NIPS 2024

A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024