Representation

Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract) AAAI 2024 Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding EMNLP 2024 BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining AAAI 2024 Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC COLING 2024 Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds ICML 2024 Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024 Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey NAACL 2024 Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study EMNLP 2024 Capturing Knowledge Graphs and Rules with Octagon Embeddings IJCAI 2024 Causal Effect Identification in LiNGAM Models with Latent Confounders ICML 2024 Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference ICML 2024 Causal Representation Learning Made Identifiable by Grouping of Observational Variables ICML 2024 Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks ECCV 2024 Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting ACL 2024 Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering ACL 2024 ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ACL 2024 CHIRON: Rich Character Representations in Long-Form Narratives EMNLP 2024 CliniRes: Publicly Available Mapping of Clinical Lexical Resources COLING 2024 Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding NeurIPS 2024 CNEQ: Incorporating numbers into Knowledge Graph Reasoning EMNLP 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024 Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models ACL 2024 CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph ACL 2024 COKE: A Cognitive Knowledge Graph for Machine Theory of Mind ACL 2024 Collaborative Heterogeneous Causal Inference Beyond Meta-analysis ICML 2024