Kronos: A Foundation Model for the Language of Financial Markets

Kronos, a specialized pre-training framework for financial K-line data, outperforms existing models in forecasting and synthetic data generation through a unique tokenizer and autoregressive pre-training on a large dataset.

https://arxiv.org/abs/2508.02739

https://hjfy.top/arxiv/2508.02739

https://github.com/shiyu-coder/Kronos (44019)

Hy-Nomas: Towards Free-form Interactive World Generation

Hy-Nomas is a video world model that uses causal attention and structured conditioning to generate interactive, multi-turn video segments with text and camera control.

https://arxiv.org/abs/2610.36729

https://hjfy.top/arxiv/2610.36729

https://github.com/Tencent-Hunyuan/Hy-Nomas (345)

MOSS-Image Technical Report

MOSS-Image is an open diffusion transformer that combines high-fidelity synthesis with intent-aware prompt enhancement to generate text-rich, layout-coherent images, achieving state-of-the-art open-weight results on long-form text and layout benchmarks.

https://arxiv.org/abs/2610.23374

https://hjfy.top/arxiv/2610.23374

https://github.com/OpenMOSS/MOSS-Image (2150)

The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

Edge0 enables efficient mixture-of-experts inference on consumer hardware by predicting expert routing ahead of time and using recovery adapters to maintain quality with minimal active memory.

https://arxiv.org/abs/2609.18063

https://hjfy.top/arxiv/2609.18063

https://github.com/Edge0-AI/edge0 (7424)

DynaFlow: Learning Free-Form Multi-Agent Orchestration

DynaFlow enables adaptive multi-agent collaboration by letting a main agent synthesize executable workflows that coordinate sub-agents through structured execution and verification.

https://arxiv.org/abs/2610.34467

https://hjfy.top/arxiv/2610.34467

https://github.com/amiya-special/Dynaflow (129)

Work Agents: Systems, Capabilities, and Optimization

The paper proposes a unified framework for work agents that integrates foundation models with runtime harnesses to execute complex digital tasks reliably, introducing dimensions of persistence and openness alongside capability families and evaluation metrics.

https://arxiv.org/abs/2610.35845

https://hjfy.top/arxiv/2610.35845

https://github.com/EnjunDu/awesome-working-agent (64)

Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation

Next-Concept Modeling uses hierarchical discrete codes and parallel level-wise generation to accelerate diffusion language models while improving quality and reasoning performance.

https://arxiv.org/abs/2610.14162

https://hjfy.top/arxiv/2610.14162

https://github.com/HazyResearch/ncm (1194)

Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Ri...

AutoTavern demonstrates that self-improving LLM research agents can autonomously build a faithful game simulator and train a reinforcement learning agent that surpasses top human players in Hearthstone Battlegrounds.

https://arxiv.org/abs/2610.33845

https://hjfy.top/arxiv/2610.33845

https://github.com/MCG-NJU/AutoTavern (134)

Geometric Context Transformer for Streaming 3D Reconstruction

LingBot-Map is a feed-forward 3D foundation model that reconstructs scenes from video streams using a geometric context transformer architecture with specialized attention mechanisms for coordinate grounding, dense geometric cues, and long-range drift correction, achieving stable real-time performan...

https://arxiv.org/abs/2604.14141

https://hjfy.top/arxiv/2604.14141

https://github.com/robbyant/lingbot-map (18408)