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ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models

arXiv:2508.07484v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable performance across a...

ALIGNS: Unlocking nomological networks in psychological measurement through a large language model

arXiv:2509.09723v1 Announce Type: new Abstract: Psychological measurement is critical to many disciplines. Despite advances in...

Alibaba’s Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal MoE With 6B Active Parameters Previewing the Qwen4 Architecture

Alibaba’s Qwen team has released Qwen3.8-Flash-Next, an open-weight multimodal Mixture-of-Experts model built for cost per...

Alibaba’s ‘ZeroSearch’ lets AI learn to google itself — slashing training costs by 88 percent

Alibaba’s ZeroSearch trains large language models to beat Google Search and slash API costs by...

Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models

Smaller Models with Smarter Performance and 256K Context Support Alibaba’s Qwen team has introduced two...

Alibaba Qwen Team Releases Qwen3.8-LiveTranslate: A Real-Time Interpretation Model That Cuts Average Lag to 2.3 Seconds Across 60 Languages

Qwen has released Qwen3.8-LiveTranslate, its next-generation real-time simultaneous interpretation model. It listens to live speech...

Alibaba Qwen Team Releases Qwen3.5 Omni: A Native Multimodal Model for Text, Audio, Video, and Realtime Interaction

The landscape of multimodal large language models (MLLMs) has shifted from experimental ‘wrappers’—where separate vision...

Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards

Text embedding and reranking are foundational to modern information retrieval systems, powering applications such as...

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