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 (46916)

Democratizing Robot-Use Agents: A Unified Harness with Open Models

Uni-robot-agent enables open-weight robot-use agents to surpass proprietary models in zero-shot manipulation and suggests joint development of four core capabilities for future training.

https://arxiv.org/abs/2611.01560

https://hjfy.top/arxiv/2611.01560

https://github.com/Open-RUA/uni-robot-agent (230)

WeVisOne-VL: Unified Visual Perception from Objects to Pixels

WeVisOne-VL unifies object-level and pixel-level visual perception via structured token prediction, supporting detection, localization, counting, OCR, segmentation, and matting with a lightweight pixel decoder and multi-stage training.

https://arxiv.org/abs/2610.31329

https://hjfy.top/arxiv/2610.31329

https://github.com/Tencent/WeVisOne-VL (1009)

SpecPilot: Autonomous Algorithm Discovery and Systems Optimization for Speculative Decoding

SpecPilot autonomously discovers deployment-specific algorithms and system optimizations to maximize speculative decoding speedups across diverse models, drafters, and serving regimes without quality loss.

https://arxiv.org/abs/2611.02501

https://hjfy.top/arxiv/2611.02501

https://github.com/StargazerX0/SpecPilot (152)

VibeVoice Technical Report

VibeVoice synthesizes long-form multi-speaker speech using next-token diffusion and a highly efficient continuous speech tokenizer, achieving superior performance and fidelity.

https://arxiv.org/abs/2508.19205

https://hjfy.top/arxiv/2508.19205

https://github.com/microsoft/VibeVoice (55433)

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 (9077)

ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration

ARIS is an open-source research harness that uses cross-model adversarial collaboration to ensure reliable long-term research outcomes through coordinated execution, orchestration, and assurance layers.

https://arxiv.org/abs/2605.03042

https://hjfy.top/arxiv/2605.03042

https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep (18704)

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Mem0, a memory-centric architecture with graph-based memory, enhances long-term conversational coherence in LLMs by efficiently extracting, consolidating, and retrieving information, outperforming existing memory systems in terms of accuracy and computational efficiency.

https://arxiv.org/abs/2504.19413

https://hjfy.top/arxiv/2504.19413

https://github.com/mem0ai/mem0 (68462)

MinerU2.5: A Decoupled Vision-Language Model for EfficientHigh-Resolution Document Parsing

MinerU2.5, a 1.2B-parameter document parsing vision-language model, achieves state-of-the-art recognition accuracy with computational efficiency through a coarse-to-fine parsing strategy.

https://arxiv.org/abs/2509.22186

https://hjfy.top/arxiv/2509.22186

https://github.com/opendatalab/MinerU (83191)