Researchers introduce BPCO, a reinforcement learning recipe combining decoupled PPO, bounded value predictions, Monte Carlo targets, and adaptive advantage estimation…
Researchers developed a full-stack framework comprising GameUI-Taxonomy and G2WEngine that automatically extracts reusable UI assets from real gameplay footage and…
A research survey organizes the smart-glasses field around seven interdependent foundational capabilities and proposes an L0-L5 framework spanning capture, reactive…
Researchers propose Meta^n, a system where a fixed meta-operation is recursively applied to its own outputs, with each layer reading…
Researchers introduce a large-scale open video dataset containing 80 million videos totaling 10 million hours of content for multimodal learning…
Tencent Hunyuan researchers introduce CAFE, a framework in which a shared-parameter model alternates between agent and critic roles to build…
Researchers present AgentRoom, a real-time collaborative editing protocol that enables concurrent multi-agent LLM coding through a shared filesystem built on…
Researchers convert agent execution traces into compact finite-state machines containing 7 to 43 states that reconstruct held-out data with 0.997…
Researchers present Entropy-Valley, a training-free technique for selecting target canvas lengths in masked diffusion machine translation that scores candidate lengths…
Alibaba researchers describe DREAM, an agentic control architecture that adds a perception-aware policy layer above existing recommendation pipelines, comprising an…
Researchers investigate how intermediate language artifacts in multi-stage LLM agent workflows can inadvertently weaken operational constraints, evaluating 1,296 synthetic episodes…
Researchers propose MoTE, a decoder architecture that converts large language model feed-forward networks into task-specific experts while keeping the multimodal…
