Reasoning

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Multiply-Robust Causal Change Attribution ICML 2024 NALA: an Effective and Interpretable Entity Alignment Method EMNLP 2024 NaRuto: Automatically Acquiring Planning Models from Narrative Texts AAAI 2024 Natural Counterfactuals With Necessary Backtracking NeurIPS 2024 Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning EMNLP 2024 NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024 Neural Closure Certificates AAAI 2024 Neural Model Checking NeurIPS 2024 Neuro-Symbolic Temporal Point Processes ICML 2024 Non-flat ABA Is an Instance of Bipolar Argumentation AAAI 2024 Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning AAAI 2024 Omega-Regular Decision Processes AAAI 2024 On Causal Discovery in the Presence of Deterministic Relations NeurIPS 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024 On Online Experimentation without Device Identifiers ICML 2024 On Positivity Condition for Causal Inference ICML 2024 ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model ACL 2024 On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence AAAI 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models NeurIPS 2024 On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data ICML 2024 On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning ACL 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024 On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? AAAI 2024