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Amr Mohamed · Yang Zhang · Michalis Vazirgiannis · Guokan Shang
Code-switching (CSW) is the act of alternating between two or more languages within a single discourse. This phenomenon is widespread in multilingual communities and increasingly prevalent online, exposing large language models (LLMs) to mixed-language inputs. We present a systematic evaluation o...
Yang Zhang · Mersin Konomi · Christos Xypolopoulos · Konstantinos Divriotis · Konstantinos Skianis · Giannis Nikolentzos · Giorgos Stamou · Guokan Shang · Michalis Vazirgiannis
Large Language Models (LLMs) are commonly trained on multilingual corpora that include Greek, yet reliable evaluation benchmarks for Greek—particularly those based on authentic, native-sourced content—remain limited. Existing datasets are often machine-translated from English, failing to capture...
Amr Mohamed · Yang Zhang · Michalis Vazirgiannis · Guokan Shang
Diffusion large language models (dLLMs) offer a promising alternative to autoregressive models, but their practical utility is severely hampered by slow, iterative sampling. We present SchED , a training-free, model-agnostic early-exit algorithm that terminates diffusion decoding using a progress...