large language models

The effects of delayed auditory feedback depend on both the rhythm and content of the feedback signal

Purpose Delayed auditory feedback (DAF) has long been known to disrupt fluent speech, yet the underlying mechanisms remain a matter of debate. Some have hypothesized that interference occurs because of asynchronous sensory and motor rhythms, independent of the specific content of auditory inputs. The goal of this study...

Reviewer #2 (Public review): Larger language models better align with neural representations of natural language

Awareness, attitudes, and utilization of large language models among healthcare students in Saudi Arabia: a cross-sectional analysis

Introduction Large language models (LLMs) such as ChatGPT are increasingly adopted in health professions education worldwide, yet evidence on their use among healthcare students in the Middle East remains limited. Methods This cross-sectional study assessed awareness, attitudes, and utilization of LLMs among healthcare...

XLM-Transformer Models for for Chinese-Japanese Neural Machine Translation under Data Augmentation Technology

A Chinese–Japanese NMT framework that integrates the pre-trained cross-lingual model Cross-lingual Language Model–RoBERTa with a Dynamic Weighted Iterative Back-Translation for Data Augmentation (DWIB-DA) strategy, providing theoretical insights into the synergistic effects of cross-lingual pretraining and dynamic data...

Exploring Comprehensible Input in Early English Education: A Krash-en-Based Perspective on Second Language Acquisition

As early English education philosophies gain increasing attention among the younger generation of parents, a wealth of concepts, resources, and teaching methods for preschool English learning have emerged on online platforms. Many parents strive to seize the so‑called "critical window for language development" between...

A Capability Maturity Model for Trustworthy Generative AI in the Public Sector

Predicting facial impressions using guided Grad-CAM and a large language model

Facial impressions are central to social interaction, shaping judgments of attractiveness, dominance, and trustworthiness. Although psychophysical research has identified factors that contribute to these impressions, computational methods, particularly deep learning, offer a complementary, data-driven identification of...

Quality and safety of large language model–generated medication review outputs in geriatric pharmacotherapy: a two-stage comparative vignette-based benchmark evaluation

These findings support supervised use of large language models and evaluation approaches that assess reasoning and prioritisation as well as target detection and should not be interpreted as evidence that one model is clinically superior in real-world practice.

On the Stability of Prompt Ranking in Large Language Model Evaluation

When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-like Caregiver Support

Caregivers often turn to online communities for informational and emotional support. In these spaces, peer supporters frequently draw on personal narratives to respond to emotionally complex caregiving situations. As large language models (LLMs) are increasingly designed as peer-like sources of support, they introduce...

What we talk to when we talk to language models

When we talk to large language models, who or what is our interlocutor? First, I address some issues about how best to characterize the interlocutor in terms of mental states. Second, I discuss questions in the philosophy of computation about what sort of AI system an LLM interlocutor might be. Third, I analyze some is...

Auditing sex/gender disparities in emergency triage with LLM-based paired comparisons

We present a domain-agnostic paired-comparison approach that uses Large Language Models (LLMs) to quantify sex/gender-related asymmetries in documented clinical decision-making. The method trains an LLM to emulate observed decisions, then evaluates sex-swapped pairs in which only sex is flipped, holding documented clin...