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相关论文: Tuning FORM with large calculations

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Version 3 of FORM is introduced. It contains many new features that are inspired by current developments in the methodology of computations in quantum field theory. A number of these features is discussed in combination with examples. In…

数学物理 · 物理学 2007-05-23 J. A. M. Vermaseren

Some of the new features of the symbolic manipulation system FORM are discussed. Then some recent results running its multithreaded version TFORM are shown. Finally the plans for the future are presented.

高能物理 - 唯象学 · 物理学 2010-12-13 J. A. M. Vermaseren

We present version 4.0 of the symbolic manipulation system FORM. The most important new features are manipulation of rational polynomials and the factorization of expressions. Many other new functions and commands are also added; some of…

符号计算 · 计算机科学 2015-06-04 J. Kuipers , T. Ueda , J. A. M. Vermaseren , J. Vollinga

I give an overview of FORM development based on a few pilot projects, explaining how they have influenced the FORM capabilities. Next I explain what is happnening right now in the field of Open Sourcing and the FORM Forum.

高能物理 - 唯象学 · 物理学 2011-01-04 J. A. M. Vermaseren

We introduce FORM 4.2, a new minor release of the symbolic manipulation toolkit. We demonstrate several new features, such as a new pattern matching option, new output optimization, and automatic expansion of rational functions.

高能物理 - 唯象学 · 物理学 2017-07-21 Ben Ruijl , Takahiro Ueda , Jos Vermaseren

We review the status of the parallel versions of the computer algebra system FORM. In particular, we provide a brief overview about the historical developments, discuss the strengths of ParFORM and TFORM, and mention typical applications.…

高能物理 - 唯象学 · 物理学 2015-01-29 Matthias Steinhauser , Takahiro Ueda , Jos A. M. Vermaseren

We present FORM 5, a major release of the symbolic-manipulation system FORM. Version 5 introduces an integrated diagram generator, based on the GRACE graph-generator, to produce Feynman diagrams directly from FORM scripts. This release also…

高能物理 - 唯象学 · 物理学 2026-01-29 J. Davies , T. Kaneko , C. Marinissen , T. Ueda , J. A. M. Vermaseren

Tables have gained significant attention in large language models (LLMs) and multimodal large language models (MLLMs) due to their complex and flexible structure. Unlike linear text inputs, tables are two-dimensional, encompassing formats…

计算与语言 · 计算机科学 2025-08-04 Xiaofeng Wu , Alan Ritter , Wei Xu

We discuss a number of FORM features that are essential in the automatic processing of very large numbers of diagrams as used in the Forcer program for 4-loop massless propagator diagrams. Most of these features are new.

高能物理 - 唯象学 · 物理学 2016-08-08 Franz Herzog , Ben Ruijl , Takahiro Ueda , J. A. M. Vermaseren , Andreas Vogt

The amount of data in the world is expanding rapidly. Every day, huge amounts of data are created by scientific experiments, companies, and end users' activities. These large data sets have been labeled as "Big Data", and their storage,…

数据库 · 计算机科学 2020-04-29 Mahdi Bohlouli , Frank Schulz , Lefteris Angelis , David Pahor , Ivona Brandic , David Atlan , Rosemary Tate

Old and new results for characterizing volume forms in functional integration.

数学物理 · 物理学 2016-11-23 Pierre Cartier , Marcus Berg , Cecile DeWitt-Morette , Alex Wurm

The necessity of the FORM project is discussed. Then the evolutionary needs in particle physics are considered, looking at the trends over the years. A guess is made at what will be needed in the (near) future. The whole is concluded with…

高能物理 - 唯象学 · 物理学 2008-11-26 J. A. M. Vermaseren

Data preparation is a critical step in enhancing the usability of tabular data and thus boosts downstream data-driven tasks. Traditional methods often face challenges in capturing the intricate relationships within tables and adapting to…

人工智能 · 计算机科学 2025-08-05 Mengshi Chen , Yuxiang Sun , Tengchao Li , Jianwei Wang , Kai Wang , Xuemin Lin , Ying Zhang , Wenjie Zhang

This paper investigates the application of large language models (LLMs) to financial tasks. We fine-tuned foundation models using the Open FinLLM Leaderboard as a benchmark. Building on Qwen2.5 and Deepseek-R1, we employed techniques…

计算与语言 · 计算机科学 2025-04-18 Varun Rao , Youran Sun , Mahendra Kumar , Tejas Mutneja , Agastya Mukherjee , Haizhao Yang

Recent advancements in Large Language Models (LLMs) have revealed new capabilities and opportunities across the technological landscape. However, the practicality of very large LLMs is challenged by their high compute cost, which does not…

We discuss practical and some theoretical aspects of computing a database of classical modular forms in the L-functions and Modular Forms Database (LMFDB).

Large Language Models (LLMs), excel in natural language understanding, but their capability for complex mathematical reasoning with an amalgamation of structured tables and unstructured text is uncertain. This study explores LLMs'…

计算与语言 · 计算机科学 2025-10-10 Pragya Srivastava , Manuj Malik , Vivek Gupta , Tanuja Ganu , Dan Roth

Table reasoning tasks have shown remarkable progress with the development of large language models (LLMs), which involve interpreting and drawing conclusions from tabular data based on natural language (NL) questions. Existing solutions…

计算与语言 · 计算机科学 2024-10-11 Yuan Sui , Jiaru Zou , Mengyu Zhou , Xinyi He , Lun Du , Shi Han , Dongmei Zhang

We study the efficacy of fine-tuning Large Language Models (LLMs) for the specific task of report (government archives, news, intelligence reports) summarization. While this topic is being very actively researched - our specific application…

We present an overview of how certain computational tools currently interact with mathematical practice, and reflect on the implications for research mathematics in the short to medium term, as the field navigates the emerging age of AI and…

历史与综述 · 数学 2025-10-21 Alex Kontorovich
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