Knowledge & Reasoning

An Information-Flow Perspective on Algorithmic Fairness AAAI 2024 Announcing the Prague Discourse Treebank 3.0 COLING 2024 A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024 Application of Generative AI as an Enterprise Wikibase Knowledge Graph Q&A System ACL 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 AREEj: Arabic Relation Extraction with Evidence ACL 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 A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions IJCAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation ACL 2024 A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming AAAI 2024 A Usage-centric Take on Intent Understanding in E-Commerce EMNLP 2024 Auto311: A Confidence-Guided Automated System for Non-emergency Calls AAAI 2024 Automated CPU Design by Learning from Input-Output Examples IJCAI 2024 Automatic Derivation of Semantic Representations for Thai Serial Verb Constructions: A Grammar-Based Approach ACL 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables ICLR 2024 A Walsh Hadamard Derived Linear Vector Symbolic Architecture NeurIPS 2024 Axiomatic Aggregations of Abductive Explanations AAAI 2024 Axiomatic effect propagation in structural causal models JMLR 2024 Back to the Continuous Attractor NeurIPS 2024