Estonian
PulseAugur coverage of Estonian — every cluster mentioning Estonian across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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ESTS details WMT26 model compression using GPT-OSS-20B and GPT-5.1
Researchers from ESTS have detailed their submissions to the WMT26 Model Compression Shared Task, focusing on English-to-Simplified Chinese and English-to-Egyptian Arabic translation. Their approach involved pruning exp…
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ChatGPT recommendations influenced by query language, not location
A study investigating ChatGPT's commercial recommendations found that query language, rather than exit IP location, primarily determines whether local suppliers are featured. The research, conducted across multiple lang…
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New method boosts Estonian language capabilities in multilingual LLMs
Researchers have developed EstLLM, a method to enhance the performance of multilingual large language models (LLMs) on the Estonian language. By applying continued pretraining with Estonian-enriched data to base models …
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Transformer Model Solves Open Shop Scheduling Problems
Researchers have developed a new method for solving the Open Shop Scheduling Problem (OSSP) using a Transformer-based deep reinforcement learning approach. This model, trained on smaller benchmark instances, demonstrate…
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Estonian subjectivity dataset created, LLM scoring tested
Researchers have developed a new Estonian-language dataset for document-level subjectivity analysis, comprising 1,000 texts rated on a scale from 0 to 100. Initial experiments using this dataset showed moderate inter-an…
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Estonian benchmark reveals Claude's propaganda resistance
The Institute of the Estonian Language (EKI) has developed a new benchmark to assess large language model performance in Estonian. This benchmark evaluates not only language proficiency and reasoning but also factual ac…
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New KD method improves dead tree detection in diverse forests
Researchers have developed a new method for detecting dead trees in aerial imagery using knowledge distillation (KD) to improve model generalization across different forest types. The TreeMort-1T-UNet model, initially t…