Complex Query Answering
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Benchmarks
Most implemented
Embedding Logical Queries on Knowledge Graphs
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Complex Query Answering with Neural Link Predictors
Logic Embeddings for Complex Query Answering
Papers
Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)
Large language models (LLMs) have fundamentally transformed the landscape of Natural Language Processing (NLP), although they remain susceptible to errors. Retrieval-augmented generation (RAG) systems have emerged as a c…
Complex Query AnsweringQuestion AnsweringNeural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables
Complex Query Answering (CQA) is a fundamental knowledge representation and reasoning task over incomplete knowledge graphs (KGs). Answering existential first-order queries with $k$ free variables (i.e., $\text{EFO}_k$ q…
Complex Query AnsweringKnowledge GraphsSubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
Large language models (LLMs) are probabilistic in nature and perform more reliably when augmented with external information. As complex queries often require multi-step reasoning over the retrieved information, with no c…
Complex Query AnsweringReinforcement LearningCounting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
Neural methods for Complex Query Answering (CQA) over knowledge graphs (KGs) are widely believed to learn patterns that generalize beyond explicit graph structure, allowing them to infer answers that are unreachable thro…
Complex Query AnsweringKnowledge GraphsCQD-SHAP: Explainable Complex Query Answering via Shapley Values
Complex query answering (CQA) goes beyond the widely studied link prediction task by addressing more sophisticated queries that require multi-hop reasoning over incomplete knowledge graphs (KGs). Research on neural and n…
Complex Query AnsweringKnowledge GraphsLink PredictionExploring the Paradigm Shift from Grounding to Skolemization for Complex Query Answering on Knowledge Graphs
Complex Query Answering (CQA) over incomplete Knowledge Graphs (KGs), typically formalized as reasoning with Existential First-Order predicate logic with one free variable (EFO\textsubscript{1}), faces a fundamental trad…
Computational EfficiencyComplex Query AnsweringKnowledge Graphs