Reasoning

Triple Changes Estimator for Targeted Policies ICML 2024 TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks ICML 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation ICML 2024 Unified Covariate Adjustment for Causal Inference NeurIPS 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024 Using Dynamically Layered Definite Releases for Verifying the RefFS File System OSDI 2024 Using Symmetries to Lift Satisfiability Checking AAAI 2024 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024 Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving EMNLP 2024 VeriSMo: A Verified Security Module for Confidential VMs OSDI 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 What Are the Rules? Discovering Constraints from Data AAAI 2024 What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases AAAI 2024 What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning AAAI 2024 What Would Happen Next? Predicting Consequences from An Event Causality Graph EMNLP 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NeurIPS 2024