TR-TEB: Turkish Text Embedding Benchmark
Presents TR-TEB, a standardized and reproducible benchmark for Turkish text embeddings.
omer-arslan
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TR-TEB: a Turkish text embedding benchmark at LREC 2026
TR-TEB evaluates 45 open-source embedding models on Turkish tasks.
Explainable Bad Check Risk Using Hybrid Machine Learning and Large Language Models in Natural Language
Research area: Language Technologies & LLMs, Computer Vision & Applied AI.
mustafa-furkan-zenginoglu
A proposed new metric for the conceptual diversity of a text
Research area: Language Technologies & LLMs.
ilknur-donmez
Multimodal Speech Emotion and Text Sentiment Analysis
Research area: Language Technologies & LLMs.
nur-bengisu-cam