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Trinity-RFT is a general-purpose, unified and easy-to-use framework designed for reinforcement fine-tuning (RFT) of large language models. It is built with a modular and decoupled design, consisting of (1) an RFT-core that unifies and…

This is the manual for the version 2 of HackAnalysis, a powerful, lightweight, versatile and, most importantly, hackable, recasting tool. New features in this version include: compressed event format storage for ultra-fast development;…

High Energy Physics - Phenomenology · Physics 2024-06-17 Mark D. Goodsell

Real-time simulation enables the understanding of system operating conditions by evaluating simulation models of physical components running synchronized at the real-time wall clock. Leveraging the real-time measurements of comprehensive…

Systems and Control · Electrical Eng. & Systems 2021-04-12 XiaoRui Liu , Juan Ospina , Ioannis Zografopoulos , Alonzo Russell , Charalambos Konstantinou

To increase statistical efficiency in a randomized experiment, researchers often use stratification (i.e., blocking) in the design stage. However, conventional practices of stratification fail to exploit valuable information about the…

Methodology · Statistics 2025-10-28 Zikai Li

The Locust simulation package is a new C++ software tool developed to simulate the measurement of time-varying electromagnetic fields using RF detection techniques. Modularity and flexibility allow for arbitrary input signals, while…

Red teaming has proven to be an effective method for identifying and mitigating vulnerabilities in Large Language Models (LLMs). Reinforcement Fine-Tuning (RFT) has emerged as a promising strategy among existing red teaming techniques.…

Machine Learning · Computer Science 2025-06-06 Xiang Zheng , Xingjun Ma , Wei-Bin Lee , Cong Wang

fixest is an R package for fast and flexible econometric estimation. It provides a unified framework for applied research, with comprehensive support for a diverse class of models: ordinary least squares, instrumental variables, generalized…

Econometrics · Economics 2026-04-06 Laurent R. Bergé , Kyle Butts , Grant McDermott

Regression trees are a popular machine learning algorithm that fit piecewise constant models by recursively partitioning the predictor space. This paper focuses on statistical inference for a data-dependent model obtained from a fitted…

Methodology · Statistics 2025-12-17 Soham Bakshi , Yiling Huang , Snigdha Panigrahi , Walter Dempsey

We present ProFit, a new code for Bayesian two-dimensional photometric galaxy profile modelling. ProFit consists of a low-level C++ library (libprofit), accessible via a command-line interface and documented API, along with high-level R…

Instrumentation and Methods for Astrophysics · Physics 2017-01-18 A. S. G. Robotham , D. S. Taranu , R. Tobar , A. Moffett , S. P. Driver

Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a severely underconstrained problem, and (ii) implement the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Mohammadreza Shetab-Bushehri , Miguel Aranda , Youcef Mezouar , Adrien Bartoli , Erol Ozgur

Insertion tasks are fundamental yet challenging for robots, particularly in autonomous operations, due to their continuous interaction with the environment. AI-based approaches appear to be up to the challenge, but in production they must…

Robotics · Computer Science 2025-03-11 Constantin Schempp , Yongzhou Zhang , Christian Friedrich , Bjorn Hein

This paper proposes an optimized mapping of the FIR filter algorithm that enhances the rate of a reconfigurable computer over a basic mapping previously proposed [1]. It also presents a new interconnection scheme in the reconfigurable part…

Signal Processing · Electrical Eng. & Systems 2019-04-12 Hassan Diab , Issam Damaj , Fadi Kurdahi

RecBole has recently attracted increasing attention from the research community. As the increase of the number of users, we have received a number of suggestions and update requests. This motivates us to make some significant improvements…

Information Retrieval · Computer Science 2022-11-29 Lanling Xu , Zhen Tian , Gaowei Zhang , Lei Wang , Junjie Zhang , Bowen Zheng , Yifan Li , Yupeng Hou , Xingyu Pan , Yushuo Chen , Wayne Xin Zhao , Xu Chen , Ji-Rong Wen

The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a simulation-based inference approach to efficient, highly-parallelized parameter inference for GW sources. Previous editions of RIFT have conservatively optimized…

Instrumentation and Methods for Astrophysics · Physics 2025-05-20 Katelyn J. Wagner , R. O'Shaughnessy , A. Yelikar , N. Manning , D. Fernando , J. Lange , V. Tiwari , A. Fernando , D. Williams

We introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used,…

MSstatsQC [3] is an open-source software that provides longitudinal system suitability monitoring tools in the form of control charts for proteomic experiments. It includes simultaneous tools for the mean and dispersion of suitability…

Human-Computer Interaction · Computer Science 2020-03-27 Sara Mohammad Taheri , Omkar Terse , Eralp Dogu , Magy Seif El-Nasr , Olga Vitek

This article documents the HashKitty platform, a distributed solution for password analysis based on the hashcat tool, designed to improve efficiency in both offensive and defensive security operations. The main objectives of this work are…

Cryptography and Security · Computer Science 2025-05-12 Pedro Antunes , Tomás Santos , Daniel Fuentes , Luís Frazão

A tutorial-style introduction to the R-package robFitConGraph is given. The latter provides a robust goodness-of-fit test for Gaussian graphical models. Its use is demonstrated at a data example on music performance anxiety, which also…

Methodology · Statistics 2022-12-02 Daniel Vogel , Stuart J. Watt , Anna Wiedemann

One of the more complex tasks for researchers using HPC systems is performance monitoring and tuning of their applications. Developing a practice of continuous performance improvement, both for speed-up and efficient use of resources is…

Realistic modeling of qubit systems including noise and constraints imposed by control hardware is required for performance prediction and control optimization of quantum processors. We introduce qopt, a software framework for simulating…

Quantum Physics · Physics 2022-03-30 Julian D. Teske , Pascal Cerfontaine , Hendrik Bluhm