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The attention prefilling phase of long-context LLM inference scales quadratically, making self-attention a severe com...
An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-language ...
Traditional speaker-attributed ASR systems treated ASR and speaker diarization as two separate tasks. Recently, end-t...
Mobile AI acts as a visual oracle, empowering users to snap a picture of something and ask for information. Snap-and-...
Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize...
Large language models (LLMs) trained only on text and code can sometimes generate programs that draw recognizable ima...
Knowledge-Based Visual Question Answering (KB-VQA) relies on retrieving external information to answer queries involv...
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through ...
Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely contr...
Data-residency constraints force enterprises to self-host LLMs, but continuous adoption of newer models without decom...
Multimodal geometry reasoning requires VLMs to extract precise visual relations and preserve them through multi-step ...
Commercial short-drama production follows a multi-stage chain: script, storyboard, keyframe imagery, shot-level video...