Reasoning

Knowledge Graph-augmented Language Models for Complex Question Answering ACL 2023 Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts ACL 2023 kogito: A Commonsense Knowledge Inference Toolkit EACL 2023 LAMBADA: Backward Chaining for Automated Reasoning in Natural Language ACL 2023 Language Model Analysis for Ontology Subsumption Inference ACL 2023 LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs EMNLP 2023 Layout-Based Causal Inference for Object Navigation CVPR 2023 Learning Action Conditions from Instructional Manuals for Instruction Understanding ACL 2023 Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023 Learning Causal Models under Independent Changes NeurIPS 2023 Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic ICML 2023 Learning Event-Relevant Factors for Video Anomaly Detection AAAI 2023 Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion NeurIPS 2023 Learning Latent Relations for Temporal Knowledge Graph Reasoning ACL 2023 Learning Rational Subgoals from Demonstrations and Instructions AAAI 2023 Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023 Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction AAAI 2023 Learning Safe Numeric Action Models AAAI 2023 Leveraging Causal Graphs for Blocking in Randomized Experiments CLeaR 2023 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning EMNLP 2023 Linear Causal Disentanglement via Interventions ICML 2023 Local Causal Discovery for Estimating Causal Effects CLeaR 2023 Logic and Commonsense-Guided Temporal Knowledge Graph Completion AAAI 2023 LogicDP: Creating Labels for Graph Data via Inductive Logic Programming ICLR 2023 Logic-driven Indirect Supervision: An Application to Crisis Counseling ACL 2023