Tootfinder

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
Matias Martinez, Xavier Franch
https://arxiv.org/abs/2506.17208

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
The rapid progress in Automated Program Repair (APR) has been driven by advances in AI, particularly large language models (LLMs) and agent-based systems. SWE-Bench is a recent benchmark designed to evaluate LLM-based repair systems using real issues and pull requests mined from 12 popular open-source Python repositories. Its public leaderboards, SWE-Bench Lite and SWE-Bench Verified, have become central platforms for tracking progress and comparing solutions. However, because the submission pr…

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
Ahmed Aman Ibrahim, Hamad Mansour Alawar, Abdulnasser Abbas Zehi, Ahmed Mohammad Alkendi, Bilal Shafi Ashfaq Ahmed Mirza, Shan Ullah, Ismail Lujain Jaleel, Hassan Ugail
https://arxiv.org/abs/2507.15961

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
Face image quality plays a critical role in determining the accuracy and reliability of face verification systems, particularly in real-time screening applications such as surveillance, identity verification, and access control. Low-quality face images, often caused by factors such as motion blur, poor lighting conditions, occlusions, and extreme pose variations, significantly degrade the performance of face recognition models, leading to higher false rejection and false acceptance rates. In th…

Output Regulation for Impedance Passive Systems with Input Saturation
Thavamani Govindaraj, Lassi Paunonen
https://arxiv.org/abs/2506.16365 https://…

Output Regulation for Impedance Passive Systems with Input Saturation
We consider output tracking and disturbance rejection for abstract infinite-dimensional systems with input saturation. We solve the control problem using a control law which consists of a stabilising error feedback term and a feedforward term based on the reference and disturbance signals. We use our results to design control laws for output tracking and disturbance rejection for a two-dimensional heat equation and a one-dimensional wave equation with boundary control and observation.

Maximal Achievable Service Rates of Codes and Connections to Combinatorial Designs
Hoang Ly, Emina Soljanin
https://arxiv.org/abs/2506.16983 https://

Maximal Achievable Service Rates of Codes and Connections to Combinatorial Designs
We investigate the service-rate region (SRR) of distributed storage systems that employ linear codes. We focus on systems where each server stores one code symbol, and a user recovers a data symbol by accessing any of its recovery groups, subject to per-server capacity limits. The SRR--the convex polytope of simultaneously achievable request rates--captures system throughput and scalability. We first derive upper and lower bounds on the maximum request rate of each data object. These bounds hol…

Analytical Framework for Power System Strength
Ignacio Ponce, Federico Milano
https://arxiv.org/abs/2507.16061 https://arxiv.org/pdf/…

Analytical Framework for Power System Strength
This paper proposes a general framework to evaluate power system strength. The formulation features twelve indicators, grouped in three dynamical orders, that quantify the resistance of bus voltage phasors and their first and second order rates of change to sudden current injection changes. To quantify such changes the paper introduces a novel finite differentiation technique, that we named Delta operator, able to properly capture "jumps" of algebraic variables and utilizes the recently develop…

Learning-Based Modeling of a Magnetically Steerable Soft Suction Device for Endoscopic Endonasal Interventions
Majid Roshanfar, Alex Zhang, Changyan He, Amir Hooshiar, Dale J. Podolsky, Thomas Looi, Eric Diller
https://arxiv.org/abs/2507.15155

Learning-Based Modeling of a Magnetically Steerable Soft Suction Device for Endoscopic Endonasal Interventions
This letter introduces a novel learning-based modeling framework for a magnetically steerable soft suction device designed for endoscopic endonasal brain tumor resection. The device is miniaturized (4 mm outer diameter, 2 mm inner diameter, 40 mm length), 3D printed using biocompatible SIL 30 material, and integrates embedded Fiber Bragg Grating (FBG) sensors for real-time shape feedback. Shape reconstruction is represented using four Bezier control points, enabling a compact and smooth model o…

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu, Yiming Liu, Guoshun Nan, Chenyuan Feng, Shujun Han, Song Gao, Bingxuan Xu, Dusit Niyato, Tony Q. S. Quek, Ping Zhang
https://arxiv.org/abs/2507.16733

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of wireless networks due to advantages, such as noise resistance, training stability, controllability, and multimodal generation. Although there have been multiple studies focusing on GDMs for wireless networks, there is still a lack of comprehensive reviews on their technological evolution. Motivated by this, we systemat…

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…