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Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of Large Language Models (LLMs) to various downstream applications. However, the effectiveness of the PEFT diminishes notably when downstream tasks require accurate…

Computation and Language · Computer Science 2024-05-29 Renzhi Wang , Piji Li

The SYNT workshop aims to bring together researchers interested in the broad area of synthesis of computing systems. The goal is to foster the development of frontier techniques in automating the development of computing system.…

Programming Languages · Computer Science 2016-02-03 Pavol Černý , Viktor Kuncak , Madhusudan Parthasarathy

Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding. Existing research mainly focuses on understanding contents…

Artificial Intelligence · Computer Science 2021-06-08 Xiaoyi Ruan , Meizhi Jin , Jian Ma , Haiqin Yang , Lianxin Jiang , Yang Mo , Mengyuan Zhou

We present a generic technique, automated by computer-algebra systems and available as open-source software \cite{scuff-em}, for efficient numerical evaluation of a large family of singular and nonsingular 4-dimensional integrals over…

Computational Physics · Physics 2015-07-20 M. T. Homer Reid , Steven G. Johnson , Jacob K. White

Several Wilson loops on several lattice sizes are computed in Perturbation Theory via a stochastic method. Applications include: Renormalons, the Mass Term in Heavy Quark Effective Theory and (possibly) the beta-function.

High Energy Physics - Lattice · Physics 2015-06-25 G. Burgio , F. Di Renzo , L. Scorzato , M. Pepe

A method for time-frequency analysis is given. The approach utilizes properties of Gaussian distribution, properties of Hermite polynomials and Fourier analysis. We begin by the definitions of a set of functions called harmonic Gaussian…

General Mathematics · Mathematics 2015-04-29 Tokiniaina Ranaivoson , Raoelina Andriambololona , Rakotoson Hanitriarivo

Recent advancements in recommender systems have focused on leveraging Large Language Models (LLMs) to improve user preference modeling, yielding promising outcomes. However, current LLM-based approaches struggle to fully leverage user…

Information Retrieval · Computer Science 2024-10-31 Yang Zhang , Juntao You , Yimeng Bai , Jizhi Zhang , Keqin Bao , Wenjie Wang , Tat-Seng Chua

We present a new approach to computing event shape distributions or, more precisely, charge flow correlations in a generic conformal field theory (CFT). These infrared finite observables are familiar from collider physics studies and…

High Energy Physics - Theory · Physics 2015-06-17 A. V. Belitsky , S. Hohenegger , G. P. Korchemsky , E. Sokatchev , A. Zhiboedov

Some special functions are particularly relevant in applied probability and statistics. For example, the incomplete beta function is the cumulative central beta distribution. In this paper, we consider the inversion of the central…

Classical Analysis and ODEs · Mathematics 2020-12-18 Amparo Gil , Javier Segura , Nico M. Temme

Theta functions play a major role in many current researches and are powerful tools for studying integrable systems. The purpose of this paper is to provide a short and quick exposition of some aspects of meromorphic theta functions for…

Complex Variables · Mathematics 2016-11-15 A. Lesfari

Bealer's intensional logics T1 and T2 were proposed and expounded most fully in his book \emph{Quality and Concept} (1982) \cite{QC} as well in \cite{C}. These logics are unique in being extensions of classical first-order associated to a…

Logic · Mathematics 2023-04-04 Clarence Protin

These lecture notes provide an introduction to quantum cluster methods for strongly correlated systems. Cluster Perturbation Theory (CPT), the Variational Cluster Approximation (VCA) and Cellular Dynamical Mean Field Theory (CDMFT) are…

Strongly Correlated Electrons · Physics 2010-11-25 David Sénéchal

Despite the growing application of Large Language Models (LLMs) to theoretical physics, there is little academic exploration into how domain-specific physics reasoning ability develops while training these models. To investigate this, we…

Machine Learning · Computer Science 2026-04-22 Nathaniel S. Woodward , Zhiqi Gao , Yurii Kvasiuk , Kendrick M. Smith , Frederic Sala , Moritz Münchmeyer

These third-year lecture notes are designed for a 1-semester course in topological quantum field theory (TQFT). Assumed background in mathematics and physics are only standard second-year subjects: multivariable calculus, introduction to…

Mathematical Physics · Physics 2008-12-11 Vladimir G. Ivancevic , Tijana T. Ivancevic

Notes to lectures on the epsilon calculus, covering axioms, semantics, completeness, and the first epsilon theorem.

Logic · Mathematics 2014-11-14 Richard Zach

Thematic analysis (TA) is a widely used qualitative research method for identifying and interpreting patterns within textual data, such as qualitative interviews. Recent research has shown that it is possible to satisfactorily perform TA…

Human-Computer Interaction · Computer Science 2025-04-22 Stefano De Paoli , Alex Fawzi

These are notes of a series of lectures on sieves, presented during the Special Activity in Analytic Number Theory, at the Max-Planck Institute for Mathematics in Bonn, during the period January--June 2002.

Number Theory · Mathematics 2007-05-23 D. R. Heath-Brown

The ECIR half-day workshop on Task-Based and Aggregated Search (TBAS) was held in Barcelona, Spain on 1 April 2012. The program included a keynote talk by Professor Jarvelin, six full paper presentations, two poster presentations, and an…

Information Retrieval · Computer Science 2017-04-07 Birger Larsen , Christina Lioma , Arjen de Vries

A procedure is introduced which allows to represent the dynamics of a non-equilibrium system violating detailed balance by its steady state loop fluxes. It is shown that detailed balance is restored in this representation, such that the…

Statistical Mechanics · Physics 2008-02-22 Stephan Herminghaus

Common Method Variance (CMV) is a recurring problem that reduces survey accuracy. Popular fixes such as the Harman single-factor test, correlated uniquenesses, common latent factor models, and marker variable approaches have well known…

Methodology · Statistics 2025-12-18 Murat Yaslioglu