arXiv:2604.01504v1 Announce Type: new
Abstract: Research on Large Language Models (LLMs) studies output variation across generation, reasoning, alignment, and representational analysis, often under the umbrella of “diversity.” Yet the terminology rema…
arXiv:2511.04106v4 Announce Type: replace-cross
Abstract: The diffusion of ideas and language in society has conventionally been described by S-shaped models, such as the logistic curve. However, the role of sub-exponential growth — a slower-than-exp…
arXiv:2604.01562v1 Announce Type: cross
Abstract: Voice cloning is often evaluated in terms of overall quality, but less is known about accent preservation and its perceptual consequences. We compare standard and heavily accented Mandarin speech and t…
arXiv:2507.14221v2 Announce Type: replace-cross
Abstract: The The use of Large language models (LLMs) to summarise parliamentary proceedings presents a promising means of increasing the accessibility of democratic participation. However, as these syst…
arXiv:2509.07274v2 Announce Type: replace
Abstract: Migration has been a core topic in German political debate, from the postwar displacement of millions of expellees to labor migration and recent refugee movements. Studying political speech across su…
arXiv:2603.25638v2 Announce Type: replace
Abstract: Through an analysis of arXiv papers, we report several shifts in word usage that are likely driven by large language models (LLMs) but have not previously received sufficient attention, such as the i…
arXiv:2604.00024v1 Announce Type: new
Abstract: Large language models are increasingly used for medical guidance, but women’s health remains under-evaluated in benchmark design. We present the Women’s Health Benchmark (WHBench), a targeted evaluation …
arXiv:2604.00074v1 Announce Type: new
Abstract: Accurate prediction of evacuation behavior is critical for disaster preparedness, yet models trained in one region often fail elsewhere. Using a multi-state hurricane evacuation survey, we show this fail…
arXiv:2511.08225v2 Announce Type: replace
Abstract: As teachers increasingly turn to GenAI in their educational practice, we need robust methods to benchmark large language models (LLMs) for pedagogical purposes. This article presents an embedding-bas…
arXiv:2603.20897v2 Announce Type: replace-cross
Abstract: The strong and continuous increase of AI-based services leads to the steady proliferation of AI data centres worldwide with the unavoidable escalation of their power consumption. It is unknown …