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2026年11月02日 · 追踪前沿研究
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.
https://arxiv.org/abs/2606.23050
https://hjfy.top/arxiv/2606.23050
https://github.com/baidu/Unlimited-OCR (30222)
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 (563)
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 (35121)
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 (35122)
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 (567)
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 (15178)
Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?
Huangfei Jiang, Anning Hu 等10人
Investor's Last Exam evaluates financial agents on end-to-end equity research using frozen evidence, expert criteria, and dependency graphs, revealing that top models excel at research but fail at forecasting and investment judgments.
https://arxiv.org/abs/2610.38342
https://hjfy.top/arxiv/2610.38342
https://github.com/Prophetlab/Investor-Last-Exam (128)
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)
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 (11763)
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生成时间: 2026-11-02 08:30
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