Knowledge & Reasoning

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NeurIPS 2023 CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023 Causal Discovery for time series from multiple datasets with latent contexts UAI 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition UAI 2023 Causal Imitability Under Context-Specific Independence Relations NeurIPS 2023 Causal Inference Despite Limited Global Confounding via Mixture Models CLeaR 2023 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 Causal Inference under Interference and Model Uncertainty CLeaR 2023 Causal inference with outcome-dependent missingness and self-censoring UAI 2023 Causal Intervention for Abstractive Related Work Generation EMNLP 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023 Causal Learning through Deliberate Undersampling CLeaR 2023 Causal Models with Constraints CLeaR 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023 CauSE: Causal Search Engine for Understanding Contact-Center Conversations Interspeech 2023 CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data MLHC 2023 Certified CNF Translations for Pseudo-Boolean Solving (Extended Abstract). IJCAI 2023 Chain-of-Thought Reasoning in Tabular Language Models EMNLP 2023 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them ACL 2023 Characterization and Learning of Causal Graphs with Small Conditioning Sets NeurIPS 2023