AI 论文精选速递

2026年11月05日 · 追踪前沿研究

1

Kronos: A Foundation Model for the Language of Financial Markets

Yu Shi, Zongliang Fu 等7人

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.

#Large Language Models#Time Series Foundation Models#financial candlestick

https://arxiv.org/abs/2508.02739

https://hjfy.top/arxiv/2508.02739

https://github.com/shiyu-coder/Kronos (46718)

2

Harness^2: Recursive Agent Harnessing for an Open World

Ruiyao Xu, Yanfei Chen 等9人

Harness² improves agent execution harnesses through recursive task-level refinement and continual harness-level learning, boosting performance across benchmarks without ground-truth verifiers.

#recursive self-improvement#LLM agents#execution harnesses

https://arxiv.org/abs/2610.14224

https://hjfy.top/arxiv/2610.14224

https://github.com/google-research/harness2 (22583)

3

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

Jiarui Yuan, Yuxin Zuo 等28人

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.

#Robot-use Agents#zero-shot manipulation#open-weight

https://arxiv.org/abs/2611.01560

https://hjfy.top/arxiv/2611.01560

https://github.com/Open-RUA/uni-robot-agent (196)

4

WeVisOne-VL: Unified Visual Perception from Objects to Pixels

Tianming Liang, Junyi Pan 等8人

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.

#vision-language models#structured next-token prediction#object-level perception

https://arxiv.org/abs/2610.31329

https://hjfy.top/arxiv/2610.31329

https://github.com/Tencent/WeVisOne-VL (909)

5

SpecPilot: Autonomous Algorithm Discovery and Systems Optimization for Speculative Decoding

Kunjun Li, Wenhao Chai 等10人

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

#speculative decoding#parallel drafters#token verification

https://arxiv.org/abs/2611.02501

https://hjfy.top/arxiv/2611.02501

https://github.com/StargazerX0/SpecPilot (82)

6

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

Yu Lin, Yiming Wang 等5人

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.

#mixture-of-experts#MoE#offloading

https://arxiv.org/abs/2609.18063

https://hjfy.top/arxiv/2609.18063

https://github.com/Edge0-AI/edge0 (9014)

7

OpenDevin: An Open Platform for AI Software Developers as GeneralistAgents

Xingyao Wang, Boxuan Li 等24人

OpenDevin is a platform for developing AI agents that interact with the world by writing code, using command lines, and browsing the web, with support for multiple agents and evaluation benchmarks.

#large language models#OpenDevin#AI agents

https://arxiv.org/abs/2407.16741

https://hjfy.top/arxiv/2407.16741

https://github.com/opendevin/opendevin (92650)

8

MOSS-Image Technical Report

MOSI. AI

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.

#diffusion transformer#DiT#single-stream diffusion transformer

https://arxiv.org/abs/2610.23374

https://hjfy.top/arxiv/2610.23374

https://github.com/OpenMOSS/MOSS-Image (2591)

9

nanoMuse: An Open-Source Personal Agent for Every Device You Own

Guangyi Liu, Yong Liu 等3人

https://arxiv.org/abs/2610.08699

https://hjfy.top/arxiv/2610.08699

https://github.com/nano-muse/nanoMuse (3189)

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生成时间: 2026-11-05 08:30

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