Qwen team
PulseAugur coverage of Qwen team — every cluster mentioning Qwen team across labs, papers, and developer communities, ranked by signal.
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Alibaba's Qwen3-Coder-Next achieves 70.6% on SWE-bench with efficient MoE architecture
The Qwen3-Coder-Next model, an 80 billion parameter Mixture-of-Experts model from Alibaba's Qwen team, has demonstrated impressive efficiency by achieving 70.6% on the SWE-bench Verified benchmark with only approximatel…
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New decoding strategy bypasses LLM alignment tax for better reasoning
Researchers have introduced a novel decoding strategy called Confident Decoding, which aims to mitigate the "alignment tax" in large language models. This tax occurs when final layers of LLMs, after being fine-tuned for…
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Alibaba Qwen3.5 model offers real-time translation with voice cloning
Alibaba's Qwen team has released Qwen3.5-LiveTranslate-Flash, a real-time multimodal translation model that significantly reduces latency to 2.8 seconds. This new model expands language support to 60 input languages and…
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CodePercept boosts LLM visual perception using code, not just reasoning
Researchers from Shanghai Jiao Tong University and the Qwen team have introduced CodePercept, a novel approach to enhance large language models' visual perception capabilities, particularly for STEM tasks. Their researc…