HuggingFace
WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents
To assist humans over extended periods in real homes, embodied agents must remember user routines, world states, and ...
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HuggingFace
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...
HuggingFace
GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents
Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workpl...
HuggingFace
Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations
In-context learning (ICL) is the standard method for low-resource classification, yet its efficacy in specialized dom...
HuggingFace
SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction
High-quality 4D head avatars from one or a few source portraits are central to telepresence, AR/VR, and digital-human...
HuggingFace
GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning
Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to pla...
HuggingFace
Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models
While reasoning on autoregressive (AR) models is often performed by chain-of-thought reasoning and reflection, their ...
HuggingFace
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
Personalized presentation generation requires more than conditioning on a current prompt or template: agents must pre...
GitHub
[GitHub] lobehub/lobehub
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and report...
GitHub
[GitHub] obra/superpowers
An agentic skills framework & software development methodology that works.（⭐234547）
arXiv
Contagion Networks: Evaluator Bias Propagation in Multi-Agent LLM Systems
When large language models serve as evaluators in multi-agent systems, their systematic evaluation biases propagate t...
arXiv
Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software
Whether LLMs scoring well on vulnerability benchmarks genuinely reason about security or merely pattern-match on cont...