Knowledge & Reasoning

Bivariate Causal Discovery via Conditional Divergence CLeaR 2022 Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck IJCAI 2022 Bounding Counterfactuals under Selection Bias PGM 2022 Bounding Quality in Diverse Planning AAAI 2022 Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations AAAI 2022 Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae AAAI 2022 BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment CoRL 2022 C3KG: A Chinese Commonsense Conversation Knowledge Graph ACL 2022 CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion ACL 2022 Canary Extraction in Natural Language Understanding Models ACL 2022 Can Language Models Serve as Temporal Knowledge Bases? EMNLP 2022 Case-Based Abductive Natural Language Inference COLING 2022 CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations IJCAI 2022 Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion JMLR 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022 Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis NeurIPS 2022 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error NeurIPS 2022 Causal discovery with heterogeneous observational data UAI 2022 Causal Distillation for Language Models NAACL 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Causal Effect Identification with Context-specific Independence Relations of Control Variables AISTATS 2022 CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022 Causal Inference Through the Structural Causal Marginal Problem ICML 2022 Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition AAAI 2022