small language model

Evaluating Chinese large language models for HIV/AIDS health information: a multidimensional comparative study of response quality

Chinese large language models (LLMs) are increasingly used for HIV/AIDS health information, yet their multidimensional performance remains unevaluated. This study systematically assessed five mainstream Chinese LLMs across accuracy, caring, completeness, understandability, and actionability. A cross-sectiona...

Linguistic diversity and theory in psychological science

When it comes to understanding the human mind and behaviour, theory is often generated from and tested via samples that are not representative of the population as a whole. Over twenty years ago, this problem was brought into sharp focus with a number of authors calling for research in the cognitive and psychological s...

Comparing language models and machine learning classifiers for detecting humorous vaccine misinformation on social media

Misinformation embedded in humor on social media can be difficult to detect and mitigate. This study investigates the effectiveness of traditional machine learning (ML) models, pre-trained neural language models, and large language models (LLMs) in identifying humor-laden misinformation related to COVID-19 vaccines o...

From Shutdown Resistance to Self-Continuation Control: Identifiability, Intervention Stability, and Evidence Standards for Artificial Agents

Recent evaluations show that frontier language-model agents can resist shutdown, override human control, protect peers, and exhibit other preservation-oriented behaviors. These findings are important for safety, but a behavioral act of resistance does not by itself identify what is being preserved or why. We develop an...

Management Agreement and Guideline-Citation Metadata Errors in Large Language Models for Small Renal Mass Management: A Prompt-Sensitivity Evaluation

Analysis scripts accompanying the study "Management Agreement and Guideline-Citation Metadata Errors in Large Language Models for Small Renal Mass Management: A Prompt-Sensitivity Evaluation." The scripts reproduce the statistical analyses reported in the manuscript, including inter-rater reliability (Cohen's kappa), m...

Idiomaticity Detection with Span Contrastive Loss

Counting intersections of rational cyclic grids: an application of Smith normal form

Choose two points from equally spaced grids on a circle. How many choices put both their sum and their difference on specified target grids? A small example leads from fractions to integer congruences. We then use classical Smith normal form to obtain the exact count, carefully allowing the two input grids to have diff...

Dosezy

v2.5.9: Custom Multi-Week Recurrence, Android 15 Edge-to-Edge, and Cross-Platform Schema Parity Summary of Changes Release v2.5.9 introduces custom multi-week recurrence scheduling (e.g. taking medications every 2 or 3 weeks on specific days), enforces strict portrait orientation across all activities, normalizes devic...

Agreement Between Large Language Models and Humans in Research Proposal Review - Data and Scripts

Agreement Between Large Language Models and Humans in Research Proposal Review — Data and Code This repository contains the data and code required to reproduce the analyses, statistical results, and figures presented in the associated manuscript. Files are organized by function and described below. All research proposa...

Beyond similarity retrieval: governance fidelity, consistency, and minimality in long-term conversational memory

Conversational language model systems persist user constraints, preferences, identity, commitments, and assigned roles across turns. The dominant memory architecture stores this alongside ordinary episodic content in a vector index and retrieves the top-k items by similarity to the active query. We argue that this desi...

Artificial intelligence readiness among audiovisual media professionals in Saudi Arabia and its barriers and facilitating conditions

Artificial intelligence is reshaping audio-visual content production, yet adoption among media professionals in Arab contexts remains under-researched, and existing studies rarely integrate individual, structural, and institutional explanations within a single analytical framework. This study examines the barriers to a...

Artificial intelligence in male infertility from diagnosis to treatment

Artificial intelligence has the potential to transform clinical decision-making for patients presenting with infertility by enabling objective, high-throughput, and personalised assessment of semen samples, but these tools should be used to augment rather than replace clinical expertise until models have been prospecti...