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Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
DocFormFlow boosts document formatting accuracy while slashing token consumption, revealing that target localization is the key to success.
Neuromorphic hardware can now continually learn new actions from event camera data with 100x energy reduction and 16x lower latency compared to edge GPUs.
Achieve near-zero FLOPs and faster time-to-first-token by treating cached documents as immutable packets, eliminating the need for KV recomputation in LLMs.
Current image quality metrics struggle to articulate *why* one high-quality image is better than another, but this challenge shows MLLMs are closing the gap by providing expert-level explanations.
MLLMs can be tricked into missing 90% of harmful content simply by encoding it in images that humans can easily read.
