Tootfinder

This https://arxiv.org/abs/2506.00261 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

GPR: Empowering Generation with Graph-Pretrained Retriever
Graph retrieval-augmented generation (GRAG) places high demands on graph-specific retrievers. However, existing retrievers often rely on language models pretrained on plain text, limiting their effectiveness due to domain misalignment and structure ignorance. To address these challenges, we propose GPR, a graph-based retriever pretrained directly on knowledge graphs. GPR aligns natural language questions with relevant subgraphs through LLM-guided graph augmentation and employs a structure-aware…

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
Rebekah A. Gelp\'i, Yibing Ju, Ethan C. Jackson, Yikai Tang, Shon Verch, Claas Voelcker, William A. Cunningham
https://arxiv.org/abs/2506.00228

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
We introduce Sorrel (https://github.com/social-ai-uoft/sorrel), a simple Python interface for generating and testing new multi-agent reinforcement learning environments. This interface places a high degree of emphasis on simplicity and accessibility, and uses a more psychologically intuitive structure for the basic agent-environment loop, making it a useful tool for social scientists to investigate how learning and social interaction leads to the development and change of group dynamics. In thi…

GPR: Empowering Generation with Graph-Pretrained Retriever
Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
https://arxiv.org/abs/2506.00261

GPR: Empowering Generation with Graph-Pretrained Retriever
Graph retrieval-augmented generation (GRAG) places high demands on graph-specific retrievers. However, existing retrievers often rely on language models pretrained on plain text, limiting their effectiveness due to domain misalignment and structure ignorance. To address these challenges, we propose GPR, a graph-based retriever pretrained directly on knowledge graphs. GPR aligns natural language questions with relevant subgraphs through LLM-guided graph augmentation and employs a structure-aware…

This https://arxiv.org/abs/2505.05784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

FlowHFT: Flow Policy Induced Optimal High-Frequency Trading under Diverse Market Conditions
High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit models with historical data and assume that future market states follow similar patterns. This limits the effectiveness of any single model to the specific conditions it was trained for. Additionally, these models achieve optimal solutions only under specific market conditions, such as assumptions about stock price's s…

#Vietnam amid an unsustainable rush.
"The race to get out of China has gathered so much pace in recent weeks that a social media genre of fixers has surfaced to offer tips on how to reroute goods through not only Vietnam, but places like Thailand and Malaysia too."

This https://arxiv.org/abs/2505.05784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

FlowHFT: Flow Policy Induced Optimal High-Frequency Trading under Diverse Market Conditions
High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit models with historical data and assume that future market states follow similar patterns. This limits the effectiveness of any single model to the specific conditions it was trained for. Additionally, these models achieve optimal solutions only under specific market conditions, such as assumptions about stock price's s…

Generation of high-power attosecond x-ray FEL pulses carrying orbital angular momentum
Chenzhi Xu, Jiawei Yan, Gianluca Geloni, Christoph Lechner, Haixiao Deng
https://arxiv.org/abs/2506.06908

Generation of high-power attosecond x-ray FEL pulses carrying orbital angular momentum
X-ray beams carrying orbital angular momentum (OAM), are emerging as a powerful tool to probe matter. Recently, a method called self-seeded FEL with OAM (SSOAM) has been proposed to generate high-power x-ray OAM pulses, which places the traditional optical elements in the linear regime of the FEL amplification process before saturation to reduce the thermal load of the optical element. In this work, we propose to utilize the SSOAM scheme to produce attosecond x-ray vortices with high intensity.…

FlowHFT: Flow Policy Induced Optimal High-Frequency Trading under Diverse Market Conditions
Yang Li, Zhi Chen, Steve Yang
https://arxiv.org/abs/2505.05784 …

FlowHFT: Flow Policy Induced Optimal High-Frequency Trading under Diverse Market Conditions
High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit models with historical data and assume that future market states follow similar patterns. This limits the effectiveness of any single model to the specific conditions it was trained for. Additionally, these models achieve optimal solutions only under specific market conditions, such as assumptions about stock price's s…