BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation
Three-dimensional (3D) brain MRI is central to clinical neurology and neuro-oncology, where generative models could a...
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Three-dimensional (3D) brain MRI is central to clinical neurology and neuro-oncology, where generative models could a...
Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workpl...
In-context learning (ICL) is the standard method for low-resource classification, yet its efficacy in specialized dom...
High-quality 4D head avatars from one or a few source portraits are central to telepresence, AR/VR, and digital-human...
Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to pla...
While reasoning on autoregressive (AR) models is often performed by chain-of-thought reasoning and reflection, their ...
Personalized presentation generation requires more than conditioning on a current prompt or template: agents must pre...
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and report...
An agentic skills framework & software development methodology that works.(⭐234547)
When large language models serve as evaluators in multi-agent systems, their systematic evaluation biases propagate t...
Whether LLMs scoring well on vulnerability benchmarks genuinely reason about security or merely pattern-match on cont...
Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a c...