Highlight

ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments

A taxonomy-guided benchmark for agentic academic paper search in open literature environments.

Based on

ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments

arXiv
Read original article →

This paper proposes ScholarQuest, a taxonomy-guided benchmark for evaluating agentic academic paper search systems. The benchmark aims to assess the ability of such systems to retrieve relevant papers based on complex queries and taxonomic relationships.

The authors evaluate ScholarQuest using various evaluation metrics and compare it with existing benchmarks.

Abstract

This paper proposes ScholarQuest, a taxonomy-guided benchmark for evaluating agentic academic paper search systems. The benchmark aims to assess the ability of such systems to retrieve relevant papers based on complex queries and taxonomic relationships. The authors evaluate ScholarQuest using various evaluation metrics and compare it with existing benchmarks.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

taxonomy-guided benchmarkagentic academic paper searchopen literature environmentsKnowledge GraphsOntology & TaxonomySemantic InteroperabilityAI Agents
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources