Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation Future Chunk Prediction discourages autoregressive video models from relying on local temporal redundancy during teacher-forced denoising.

Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience Ropedia W0 unifies human and robot egocentric data for cross-embodiment loco-manipulation world modeling.

Congrats @claudeai on achieving SOTA on ProgramBench! Claude Opus 5.5 (xhigh) scores 18.5 Resolved, ahead of Claude Fable 5.1 (xhigh) at 9.

Xiaomi-Lens-0 Technical Report Xiaomi-Lens-0 grounds reasoning in regions by decoding masks from visual latents and language-model mask-token states.

Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition Sage-A1.5 composes delegation, parallel subagents, verification, and strategy revision for long-horizon problem solving.

Calibrated Typed Decisions for Entity, Relation, and Event Extraction CalOn unifies entity, relation, and event extraction in a 0.6B-parameter encoder that jointly reads text and type definitions.

SolarRenderer: Few-Step Generative Reference Rendering SolarRenderer adapts a frozen video backbone with two LoRAs, injecting frame-aligned structural videos through its native reference pathway for representation-agnostic control.

Qwen3.8 is the fastest-rising method on Papers with Code. 19 papers in the last 30 days: 19x its share of new papers in the 180 days before.

MemT-1.0: Towards Memory-Native Evolution MemT-1.0 internalizes memory through token-level Gated DeltaNet-2 updates and Mixture-of-Storage capacity scaling.

AutomationBench-AA is the fastest-growing benchmark on Papers with Code. 23 papers reported results on it in the last 90 days, up from 3 in the 180 days before.

MOSS-Image Technical Report MOSS-Image combines a 5B single-stream DiT with intention-aware prompt enhancement for bilingual long-form text and precise layouts.

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Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning Pixel-space diffusion offers no clear downstream advantage over latent models.