Reasoning

TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline ACL 2023 TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning ACL 2023 Temporal Datalog with Existential Quantification IJCAI 2023 Temporal Knowledge Graph Reasoning Based on N-tuple Modeling EMNLP 2023 Text-Transport: Toward Learning Causal Effects of Natural Language EMNLP 2023 TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph NeurIPS 2023 The Candide model: How narratives emerge where observations meet beliefs ACL 2023 The d-Separation Criterion in Categorical Probability JMLR 2023 The Effect of Preferences in Abstract Argumentation under a Claim-Centric View AAAI 2023 The Hardness of Reasoning about Probabilities and Causality IJCAI 2023 The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code ACL 2023 The Proximal ID Algorithm JMLR 2023 THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval SemEval 2023 TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles EMNLP 2023 Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains AAAI 2023 Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases AAAI 2023 Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023 Towards Trustworthy Explanation: On Causal Rationalization ICML 2023 TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers AAAI 2023 Treewidth-Aware Complexity for Evaluating Epistemic Logic Programs IJCAI 2023 Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks ACL 2023 TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023 Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NeurIPS 2023 Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023 Uncovering Implicit Inferences for Improved Relational Argument Mining EACL 2023