Reasoning

A Fixed-Point Approach for Causal Generative Modeling ICML 2024 A Foundation Model for Zero-shot Logical Query Reasoning NeurIPS 2024 A General Identification Algorithm For Data Fusion Problems Under Systematic Selection UAI 2024 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 A Graph Dynamics Prior for Relational Inference AAAI 2024 A Graph per Persona: Reasoning about Subjective Natural Language Descriptions ACL 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024 A Logic for Reasoning about Aggregate-Combine Graph Neural Networks IJCAI 2024 Alternative Measures of Direct and Indirect Effects PGM 2024 Ambiguity-Aware Abductive Learning ICML 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes AAAI 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 An Efficient Maximal Ancestral Graph Listing Algorithm ICML 2024 A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024 Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata IJCAI 2024 An Impossibility Theorem for Node Embedding AISTATS 2024 An Information-Flow Perspective on Algorithmic Fairness AAAI 2024 A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024 Approximation Algorithms for Preference Aggregation Using CP-Nets AAAI 2024 Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding COLING 2024 Are LLMs classical or nonmonotonic reasoners? Lessons from generics ACL 2024 ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews ACL 2024 A Semantic Search Engine for Mathlib4 EMNLP 2024