每日AI论文精选-2026-11-10

AI 论文精选速递

2026年11月10日 · 追踪前沿研究

1

SplatAnything: Gaussian Spacing Normalization for Feed-forward 3DGS across Arbitrary Scenes

Hao Yu, Zhenwei Wang 等10人

SplatAnything applies Gaussian Spacing Normalization to canonicalize scene-level Gaussian spacing, yielding more consistent supervision and improved feed-forward 3D Gaussian Splatting under varying scene scales and viewpoints.

#feed-forward 3DGS#3D Gaussian Splatting#Gaussian attributes

https://arxiv.org/abs/2611.08264

https://hjfy.top/arxiv/2611.08264

https://github.com/zju3dv/SplatAnything (88)

2

FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

Shuo Yang, Xiaoze Fan 等11人

FreeToken is an edge-native Mixture-of-Experts serving system that dynamically maps computation and model state onto heterogeneous local hardware to run large open-weight models on personal machines.

#MoE serving#expert residency#CPU-GPU execution

https://arxiv.org/abs/2608.16157

https://hjfy.top/arxiv/2608.16157

https://github.com/FlashML-org/FreeToken (16906)

3

Unlimited OCR Works

Youyang Yin, Huanhuan Liu 等17人

Unlimited OCR introduces Reference Sliding Window Attention to eliminate growing memory consumption during long-sequence OCR tasks, enabling efficient transcription of multiple pages in a single forward pass.

#end-to-end OCR#large language model#decoder

https://arxiv.org/abs/2606.23050

https://hjfy.top/arxiv/2606.23050

https://github.com/baidu/Unlimited-OCR (31009)

4

Efficient Memory Management for Large Language Model Serving with PagedAttention

Woosuk Kwon, Zhuohan Li 等9人

PagedAttention algorithm and vLLM system enhance the throughput of large language models by efficiently managing memory and reducing waste in the key-value cache.

#PagedAttention#key-value cache#KV cache

https://arxiv.org/abs/2309.06180

https://hjfy.top/arxiv/2309.06180

https://github.com/vllm-project/vllm (86094)

5

Persistent Recursive Worlds Enable Autonomous Software Evolution

Beichen Huang, Zhenyu Liang 等4人

Genesis organizes long-horizon software development around a persistent project rather than persistent agents, enabling multi-day compiler construction and numerical module reimplementation with low cost and high performance.

#DeepSeek V4 Flash#GLM 5.2

https://arxiv.org/abs/2608.10450

https://hjfy.top/arxiv/2608.10450

https://github.com/EMI-Group/genesis (667)

6

Very Large-Scale Multi-Agent Simulation in AgentScope

Xuchen Pan, Dawei Gao 等8人

Enhancements to the AgentScope platform improve scalability, efficiency, and ease of use for large-scale multi-agent simulations through distributed mechanisms, flexible environments, and user-friendly tools.

#actor-based distributed mechanism#multi-agent platform#centralized workflow orchestration

https://arxiv.org/abs/2407.17789

https://hjfy.top/arxiv/2407.17789

https://github.com/modelscope/agentscope (35686)

7

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Dawei Gao, Zitao Li 等23人

AgentScope enhances agentic applications by providing flexible tool-based interactions, unified interfaces, and advanced infrastructure based on the ReAct paradigm, supporting efficient and safe development and deployment.

#Large Language Models#LLMs#AgentScope

https://arxiv.org/abs/2508.16279

https://hjfy.top/arxiv/2508.16279

https://github.com/agentscope-ai/agentscope (35687)

8

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

Hermann Kumbong, Ishan S. Khare 等9人

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

#diffusion language models#parallel sampling#multiscale residual VQ-VAE

https://arxiv.org/abs/2610.14162

https://hjfy.top/arxiv/2610.14162

https://github.com/HazyResearch/ncm (1709)

9

HairDeck: Animation-Ready Stylized Hair Cards from a Single Image

Yuze He, Yixiang Wei 等6人

HairDeck generates stylized hair cards and spring-bone animations as unordered token sets using a diffusion transformer, improving accuracy and speed over prior methods.

#hair cards#spring bones#set diffusion transformer

https://arxiv.org/abs/2610.40599

https://hjfy.top/arxiv/2610.40599

https://github.com/hyz317/HairDeck (1030)

论文摘要由 AI 生成 · 仅供学习参考

生成时间: 2026-11-10 08:30

© 2026 AI 论文精选 · 共收录 9 篇