AI 论文精选速递
2026年11月03日 · 追踪前沿研究
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.
https://arxiv.org/abs/2610.14224
https://hjfy.top/arxiv/2610.14224
https://github.com/google-research/harness2 (22028)
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.
https://arxiv.org/abs/2608.16157
https://hjfy.top/arxiv/2608.16157
https://github.com/FlashML-org/FreeToken (15847)
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.
https://arxiv.org/abs/2011.09832
https://hjfy.top/arxiv/2011.09832
https://github.com/arraiyopensource/kornia (12116)
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.
https://arxiv.org/abs/2610.40599
https://hjfy.top/arxiv/2610.40599
https://github.com/hyz317/HairDeck (730)
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.
https://arxiv.org/abs/2609.36136
https://hjfy.top/arxiv/2609.36136
https://github.com/SeerRay-Lab/Xiaomi-OCR-0 (766)
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.
https://arxiv.org/abs/2407.17789
https://hjfy.top/arxiv/2407.17789
https://github.com/modelscope/agentscope (35223)
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.
https://arxiv.org/abs/2508.16279
https://hjfy.top/arxiv/2508.16279
https://github.com/agentscope-ai/agentscope (35223)
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.
https://arxiv.org/abs/2309.06180
https://hjfy.top/arxiv/2309.06180
https://github.com/vllm-project/vllm (86094)
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.
https://arxiv.org/abs/2407.16741
https://hjfy.top/arxiv/2407.16741
https://github.com/opendevin/opendevin (92511)
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