large language models

Large Language Models to Support Qualitative Analyses: An Extended Systematic Mapping Study

Design and Evaluation of a Culturally Adapted Multimodal Virtual Agent for PTSD Screening

Post-traumatic stress disorder (PTSD) is prevalent yet underreported among combat-exposed military personnel. We present Molhim, a culturally adapted multimodal conversational platform, and examine its PTSD screening configuration in a Saudi military healthcare context. The system pairs a system-controlled virtual agen...

Towards intelligent geospatial data discovery: a knowledge graph-driven multi-agent framework powered by large language models

The rapid growth in the volume, variety, and velocity of geospatial data has created data ecosystems that are highly distributed, heterogeneous, and semantically inconsistent. Existing data catalogs, portals, and infrastructures rely largely on keyword-based search with limited semantic support, which often fails to ca...

The illusion of clinical reasoning: a benchmark reveals the pervasive gap in vision-language models for clinical competency

The rapid integration of foundation models into clinical practice and their use for public health inquiries necessitates a rigorous evaluation of their true clinical reasoning capabilities, which extends beyond success on narrow examinations. Current benchmarks, often based on medical licensing exams or curated vignett...

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation

Music Recommender Systems (MRSs) have long relied on an information retrieval framing, where progress is measured mainly through accuracy on retrieval-oriented subtasks. While effective, this reductionist paradigm struggles to address the deeper question of what makes a good recommendation. Attempts to broaden evaluati...

Chinese-SkillSpan: A Benchmark for Competency Span Extraction from Chinese Job Advertisements

Online job advertisements can reveal changing skill demand only when competency mentions are recoverable as auditable text spans. Chinese lacks a large resource that combines explicit span-boundary rules with coverage of different recruitment genres. We present Chinese-SkillSpan, a corpus of 22,840 sentences from four...

An investigation into LLMs’ abilities in discerning between true and false information

It is demonstrated that targeted semantic prompting improves factual discrimination but does not fully separate semantic correspondence from information familiarity, plausibility, and other non-factual textual cues, providing a basis for future studies to determine how far epistemic credibility can be sustained or infl...

A Conjecture of MatterJianzi Theory——A Unified Derivation of the Equations of Modern Physics

Starting from the fundamental equations of Jianzi Theory, this paper systematically derives the core equation systems of modern physics. The derivation introduces no external assumptions; it proceeds solely by applying limit conditions to the fundamental quantities of Jianzi Theory—vibrational level \mathcal{V}, positi...

PeerReviewAgents

PeerReviewAgents is a multi-agent framework for structured manuscript review with large language models. A default run converts a PDF locally, applies an optional desk screen, and sends the manuscript to five specialist reviewers covering scientific validity, quantitative evidence, contribution and prior work, reportin...

Chinese-SkillSpan: A Benchmark for Competency Span Extraction from Chinese Job Advertisements

Online job advertisements can reveal changing skill demand only when competency mentions are recoverable as auditable text spans. Chinese lacks a large resource that combines explicit span-boundary rules with coverage of different recruitment genres. We present Chinese-SkillSpan, a corpus of 22,840 sentences from four...

A Conjecture of MatterJianzi Theory——A Unified Derivation of the Equations of Modern Physics

Starting from the fundamental equations of Jianzi Theory, this paper systematically derives the core equation systems of modern physics. The derivation introduces no external assumptions; it proceeds solely by applying limit conditions to the fundamental quantities of Jianzi Theory—vibrational level \mathcal{V}, positi...

PeerReviewAgents

PeerReviewAgents is a multi-agent framework for structured manuscript review with large language models. A default run converts a PDF locally, applies an optional desk screen, and sends the manuscript to five specialist reviewers covering scientific validity, quantitative evidence, contribution and prior work, reportin...