large language models

A multimodal benchmark for editable constraint preserving history based CAD modeling

Editable CAD generation requires access to procedural history rather than final geometry alone, yet widely used CAD datasets typically omit explicit geometric constraints, native parametric assets, or rich semantic labels. We introduce EPICCAD, a multimodal benchmark for history-based CAD modeling that aligns compact c...

Large Language Models Versus Multidisciplinary Tumor Board Decisions in Thyroid Cancer

While LLMs demonstrate promising concordance in standardized thyroid cancer management, they are best positioned as supportive decision aids—such as in MDT preparation and workflow streamlining—rather than replacements for expert multidisciplinary evaluation, particularly in complex clinical scenarios.

A Project-based Learning Activity Involving Hybrid Intelligence in the Undergraduate Engineering Class

Artificial intelligence (AI) is increasingly embedded in academic practice, creating opportunities to support learning and improve educational outcomes. We implemented a project-based learning activity in an undergraduate engineering course in which students used meteorological data to construct a temperature time seri...

A Transformation-Based AI Framework for Equitable RTI Tier Classification in Qatar

Consistent and equitable classification of students within Response to Intervention (RTI) frameworks remains a significant challenge in Qatar’s educational system, where tier-assignment decisions rely predominantly on qualitative, multidisciplinary evaluation reports rather than standardized quantitative measures. This...

Retraction notice to “Reshaping MOFs synthesis conditions mining with a dynamic multi-agents framework of large language model” [Trans. Mater. Res. 2 (2026) 100176]

Integrating LLM in Business Process Management: A Conceptual Framework for Augmenting the Process Lifecycle

A lifecycle-based conceptual framework for allocating and governing LLM use across the six stages of the BPM lifecycle, which positions LLMs as tools for turning unstructured information into preliminary process knowledge, while established BPM methods and human expertise remain responsible for validating consequential...

Effects of Shot Size on Social Impressions in Humans and Multimodal AI

The same person can be judged differently depending on how tightly they are framed. As image- and video-based evaluations become increasingly common in settings such as hiring, screening, and interviews, this raises a practical question: does shot size change social-impression ratings in human observers and a multimoda...

Narrating Authority Through Storytelling in Entrepreneurial Podcast Interviews

How do entrepreneurs claim the authority to lead an enterprise that was never theirs alone? Although the discursive construction of leadership has attracted growing interest, most existing work is qualitative and case-limited, and leadership authority has rarely been examined as a discursive phenomenon at scale. Drawin...

Explainable Hallucination Detection in Large Language Models Using Evidence-Grounded Verification

This paper presents Evidence-Grounded Verification (EGV), a modular framework for explainable hallucination detection in large language models. EGV decomposes model outputs into atomic claims, retrieves independent evidence, performs fine-grained four-way verification (Supported, Partially Supported, Contradicted, Unve...

Narrating Authority Through Storytelling in Entrepreneurial Podcast Interviews

How do entrepreneurs claim the authority to lead an enterprise that was never theirs alone? Although the discursive construction of leadership has attracted growing interest, most existing work is qualitative and case-limited, and leadership authority has rarely been examined as a discursive phenomenon at scale. Drawin...

Explainable Hallucination Detection in Large Language Models Using Evidence-Grounded Verification

This paper presents Evidence-Grounded Verification (EGV), a modular framework for explainable hallucination detection in large language models. EGV decomposes model outputs into atomic claims, retrieves independent evidence, performs fine-grained four-way verification (Supported, Partially Supported, Contradicted, Unve...

Decoding protein mutational fitness through evolutionary sequence intelligence: a large-scale ESM-2 benchmark across 217 DMS assays