AI 论文精选速递

2026年11月03日 · 追踪前沿研究

1

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 (22028)

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 (15847)

3

Differentiable Data Augmentation with Kornia

Jian Shi, Edgar Riba 等5人

This paper reviews the Kornia differentiable data augmentation module for both 2D and 3D tensors, integrating with PyTorch's autograd and optim, and benchmarks it against other frameworks.

#differentiable data augmentation#Kornia#spatial tensors

https://arxiv.org/abs/2011.09832

https://hjfy.top/arxiv/2011.09832

https://github.com/arraiyopensource/kornia (12116)

4

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 (730)

5

Xiaomi-OCR-0 Technical Report

Xin Chen, Anan Du 等10人

Xiaomi-OCR-0 is a compact vision-language model that unifies document parsing and OCR understanding through automated data synthesis, progressive training with text anchoring and reinforcement learning, and achieves state-of-the-art results on multiple benchmarks.

#vision-language models#document parsing#OCR-centric understanding

https://arxiv.org/abs/2609.36136

https://hjfy.top/arxiv/2609.36136

https://github.com/SeerRay-Lab/Xiaomi-OCR-0 (766)

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 (35223)

7

AgentScope 1.0: A Developer-Centric Framework for Building AgenticApplications

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 (35223)

8

Efficient Memory Management for Large Language Model Serving withPagedAttention

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)

9

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 (92511)

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