Tajik
PulseAugur coverage of Tajik — every cluster mentioning Tajik across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Qwen3 adaptation to Tajik shows mixed results on comprehension
Researchers explored adapting the Qwen3 language model to the Tajik language, finding that while fine-tuning with LoRA adapters significantly reduced text loss, it did not consistently improve reading comprehension on T…
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New Tajik language embedder improves retrieval accuracy on legal texts
Researchers have developed Saidzoda-Tajik-E5-Large, a 560 million parameter text embedder specifically fine-tuned for the Tajik language. This model significantly improves retrieval accuracy on Tajik legal and tax docum…
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New 2.6B Tajik model excels at tool calling but degrades English skills
Researchers have developed Saidzoda-Tajik-LFM-2.6B, a 2.6 billion parameter hybrid model adapted for the Tajik language, focusing on tool-calling capabilities. The adaptation process involved continued pretraining on Ta…
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AI refusal directions show limited universality in low-resourced languages, llama.cpp updates released
A new research paper investigates the universality of AI refusal directions across low-resourced languages, extending previous work that suggested near-perfect cross-lingual transfer. The study found that while directio…
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New Soro LLM family enhances Tajik language capabilities
Researchers have developed Soro, a family of large language models specifically tailored for the Tajik language. These models are built upon open-weight Gemma 3 checkpoints and undergo further training using a 1.9 billi…
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New benchmark study explores neural network performance on Tajik POS tagging
This paper introduces the first benchmark for part-of-speech tagging in the Tajik language, evaluating various neural network architectures. The study utilized the TajPersParallel corpus, focusing on context-independent…
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New NLP guide covers tokenization to RLHF with open-weight models
A new preprint details a practical guide to the modern Natural Language Processing (NLP) pipeline, covering everything from tokenization to reinforcement learning from human feedback. The guide is structured as a reprod…
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New study benchmarks machine transliteration models for Tajik-Farsi languages
This paper introduces a new benchmark for machine transliteration between Tajik and Farsi, developing a unique parallel corpus from diverse sources. The study compares six model architectures, including rule-based syste…