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We describe lrsarith which is a small fixed precision and hybrid arithmetic C library for integers and rationals that we developed for use in the lrslib library for polyhedral computation. Using a generic set of operations, a program can be…

Mathematical Software · Computer Science 2021-02-01 David Avis , Charles Jordan

Function calling agents powered by Large Language Models (LLMs) select external tools to automate complex tasks. On-device agents typically use a retrieval module to select relevant tools, improving performance and reducing context length.…

Machine Learning · Computer Science 2026-04-20 Bhrij Patel , Davide Belli , Amir Jalalirad , Maximilian Arnold , Aleksandr Ermolov , Bence Major

Fine-tuning large language models (LLMs) for recommendation in a generative manner has delivered promising results, but encounters significant inference overhead due to autoregressive decoding in the language space. This work explores…

Information Retrieval · Computer Science 2025-09-16 Chengbing Wang , Yang Zhang , Zhicheng Wang , Tianhao Shi , Keqin Bao , Fuli Feng , Tat-Seng Chua

The recent work Local Implicit Image Function (LIIF) and subsequent Implicit Neural Representation (INR) based works have achieved remarkable success in Arbitrary-Scale Super-Resolution (ASSR) by using MLP to decode Low-Resolution (LR)…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Zongyao He , Zhi Jin

We present the preliminary high-level design and features of DynamicPPL.jl, a modular library providing a lightning-fast infrastructure for probabilistic programming. Besides a computational performance that is often close to or better than…

Machine Learning · Computer Science 2020-02-10 Mohamed Tarek , Kai Xu , Martin Trapp , Hong Ge , Zoubin Ghahramani

Implicit Neural Spatial Representation (INSR) has emerged as an effective representation of spatially-dependent vector fields. This work explores solving time-dependent PDEs with INSR. Classical PDE solvers introduce both temporal and…

Machine Learning · Computer Science 2023-06-01 Honglin Chen , Rundi Wu , Eitan Grinspun , Changxi Zheng , Peter Yichen Chen

This paper introduces a uniform substitution calculus for differential refinement logic dRL. The logic dRL extends the differential dynamic logic dL such that one can simultaneously reason about properties of and relations between hybrid…

Logic in Computer Science · Computer Science 2024-07-11 Enguerrand Prebet , André Platzer

Information compression plays a central role in diverse fields of modern science and technology, from communication theory to machine learning. In condensed-matter physics, the intermediate representation (IR) basis has recently been…

Strongly Correlated Electrons · Physics 2026-05-26 Takahiro Misawa

Lagrangian Relaxation (LR) is a powerful technique for solving large-scale Mixed Integer Linear Programming (MILP), particularly those with decomposable structures, such as vehicle routing or unit commitment problems. By relaxing the…

Machine Learning · Statistics 2026-05-27 Tung Quoc Le , Anh Tuan Nguyen , Viet Anh Nguyen

This study introduces amangkurat, an open-source Python library designed for the robust numerical simulation of relativistic scalar field dynamics governed by the nonlinear Klein-Gordon equation in $(1+1)$D spacetime. The software…

Pattern Formation and Solitons · Physics 2025-12-30 Sandy H. S. Herho , Siti N. Kaban

State-of-the-art digital circuit design tools almost exclusively rely on pure and inertial delay for timing simulations. While these provide reasonable estimations at very low execution time in the average case, their ability to cover…

Other Computer Science · Computer Science 2021-07-20 Jürgen Maier

We present the Time Lag/Delay Reconstructor (TLDR), an algorithm for reconstructing velocity delay maps in the Maximum A Posteriori framework for reverberation mapping. Reverberation mapping is a tomographical method for studying the…

Instrumentation and Methods for Astrophysics · Physics 2021-06-17 Matthew D Anderson , Fabien Baron , Misty C Bentz

Diffusive representations of fractional derivatives have proven to be useful tools in the construction of fast and memory efficient numerical methods for solving fractional differential equations. A common challenge in many of the known…

Numerical Analysis · Mathematics 2022-04-11 Kai Diethelm

Jailbreak attacks expose vulnerabilities in safety-aligned LLMs by eliciting harmful outputs through carefully crafted prompts. Existing methods rely on discrete optimization or trained adversarial generators, but are slow,…

Computation and Language · Computer Science 2025-07-08 James Beetham , Souradip Chakraborty , Mengdi Wang , Furong Huang , Amrit Singh Bedi , Mubarak Shah

This paper presents a computationally efficient and robust LiDAR-inertial odometry framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated extended Kalman filter to allow robust navigation in fast-motion,…

Robotics · Computer Science 2021-04-15 Wei Xu , Fu Zhang

Generalized log-sine functions appear in higher order epsilon-expansion of different Feynman diagrams. We present an algorithm for numerical evaluation of these functions of real argument. This algorithm is implemented as C++ library with…

High Energy Physics - Phenomenology · Physics 2016-09-06 M. Yu. Kalmykov , A. Sheplyakov

MLIR has become popular since it was open sourced in 2019. A sub-project of LLVM, the flexibility provided by MLIR to represent Intermediate Representations (IR) as dialects at different abstraction levels, to mix these, and to leverage…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-04 Nick Brown , Maurice Jamieson , Anton Lydike , Emilien Bauer , Tobias Grosser

Since the introduction of the PDDL+ modeling language, it was known that temporal planning with durative actions (as in PDDL 2.1) could be compiled into PDDL+. However, no practical compilation was presented in the literature ever since. We…

Artificial Intelligence · Computer Science 2026-03-13 Andrea Micheli , Enrico Scala , Alessandro Valentini

We present FlexLLM, a composable High-Level Synthesis (HLS) library for rapid development of domain-specific LLM accelerators. FlexLLM exposes key architectural degrees of freedom for stage-customized inference, enabling hybrid designs that…

Hardware Architecture · Computer Science 2026-01-23 Jiahao Zhang , Zifan He , Nicholas Fraser , Michaela Blott , Yizhou Sun , Jason Cong

Since its invention HyperLogLog has become the standard algorithm for approximate distinct counting. Due to its space efficiency and suitability for distributed systems, it is widely used and also implemented in numerous databases. This…

Data Structures and Algorithms · Computer Science 2024-06-11 Otmar Ertl