output
20192026
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations

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5 papers · 1 filter

cs.CL2025

ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation

Riccardo Pozzi, Matteo Palmonari, Andrea Coletta +3

Knowledge gaps and hallucinations are persistent challenges for Large Language Models (LLMs), which generate unreliable responses when lacking the necessary information to fulfill…

cs.CL2025

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models

Tobias Schreieder, Tim Schopf, Michael Färber

The increasing adoption of large language models (LLMs) has raised serious concerns about their reliability and trustworthiness. As a result, a growing body of research focuses on…

cs.CL2025

GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge

Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh +2

Language models are powerful artifacts, yet their factual knowledge is still poorly understood, and inaccessible to ad-hoc browsing and scalable statistical analysis. This demonstr…

cs.CL2024★ 5 cited

CiteFusion: An Ensemble Framework for Citation Intent Classification Harnessing Dual-Model Binary Couples and SHAP Analyses

Lorenzo Paolini, Sahar Vahdati, Angelo Di Iorio +3

Understanding the motivations underlying scholarly citations is essential to evaluate research impact and promote transparent scholarly communication. This study introduces CiteFus…

cs.CL2024★ 3 cited

Cultural Commonsense Knowledge for Intercultural Dialogues

Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum

Despite recent progress, large language models (LLMs) still face the challenge of appropriately reacting to the intricacies of social and cultural conventions. This paper presents…