Papers arxiv:2605.03849 Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation Published on May 5 Submitted by Mengqi Huang on May 7 1 Paper of the day FrameX-AI Authors: , , Shaojin Wu , , , , Abstract Stream-R1 improves video diffusion model distillation by ada… …
…To address this, we introduce RLDX-1, a general-purpose robotic policy for dexterous manipulation built on the Multi-Stream Action Transformer (MSAT), an architecture that unifies these capabilities by integrating heterogeneous…
…AI-generated summary Activation steering controls language model behavior by adding directions to internal representations at inference time, but standard residual-stream steering can fail in stateful dialogue. We identify KV-cache…
… The following papers were recommended by the Semantic Scholar API CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives 2026 Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation 2026 Stream-R1: Reliability-Perplexity Aware Reward Distillatio… …
…AI-generated summary Intensive care units ( ICU ) generate long, dense and evolving streams of clinical information, where physicians must repeatedly reassess patient states under time pressure, underscoring a clear need for reliable…
…In a controlled ARC-AGI Stream environment that exposes Retain, Delete, and Consolidate actions, agents preserve raw episodes by default and double the accuracy of their forced-consolidation counterparts; disabling consolidation entirely…
…More importantly, our development process offers practical insights for building multimodal agents , highlighting the central role of multimodal perception , hierarchical optimization , and reliable end-to-end verification . View arXiv page View PDF…
…web agents to streamline data extraction and web automation, letting users build powerful scrapers without coding. The challenge is making sure these agents can navigate complex websites reliably. How do you see…