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Transformers have gained popularity in machine learning due to their application in the field of natural language processing. They manipulate and process text efficiently, capturing long-range dependencies among data and performing the next…

Quantum Physics · Physics 2026-03-06 Michele Banfi , Paolo Zentilini , Sebastiano Corli , Enrico Prati

This paper presents novel Bayesian optimisation algorithms for minimum error rate training of statistical machine translation systems. We explore two classes of algorithms for efficiently exploring the translation space, with the first…

Computation and Language · Computer Science 2014-12-24 Yishu Miao , Ziyu Wang , Phil Blunsom

We study the problem of finding a subgroup of a given order in a finite group, where the group is represented by its Cayley table. We analyze the complexity of the problem in the special case of abelian groups and present an optimal…

Computational Complexity · Computer Science 2026-02-26 K. Lakshmanan

An instance of a group testing problem is a set of objects $\cO$ and an unknown subset $P$ of $\cO$. The task is to determine $P$ by using queries of the type ``does $P$ intersect $Q$'', where $Q$ is a subset of $\cO$. This problem occurs…

Combinatorics · Mathematics 2016-09-06 Emanuel Knill

The Quantitative Group Testing (QGT) is about learning a (hidden) subset $K$ of some large domain $N$ using a sequence of queries, where a result of a query provides information about the size of the intersection of the query with the…

Data Structures and Algorithms · Computer Science 2022-04-22 Dariusz R. Kowalski , Dominik Pajak

Despite the impressive quality improvements yielded by neural machine translation (NMT) systems, controlling their translation output to adhere to user-provided terminology constraints remains an open problem. We describe our approach to…

Computation and Language · Computer Science 2018-05-11 Eva Hasler , Adrià De Gispert , Gonzalo Iglesias , Bill Byrne

A key challenge in deriving unified neural solvers for combinatorial optimization (CO) is efficient generalization of models between a given set of tasks to new tasks not used during the initial training process. To address it, we first…

Machine Learning · Computer Science 2026-03-04 Semih Cantürk , Thomas Sabourin , Frederik Wenkel , Michael Perlmutter , Guy Wolf

Many applications in automated auditing and the analysis and consistency check of financial documents can be formulated in part as the subset sum problem: Given a set of numbers and a target sum, find the subset of numbers that sums up to…

Optimization and Control · Mathematics 2022-11-07 David Biesner , Thore Gerlach , Christian Bauckhage , Bernd Kliem , Rafet Sifa

We characterize the algebraic structure of semi-direct product of cyclic groups, $\Z_{N}\rtimes\Z_{p}$, where $p$ is an odd prime number which does not divide $q-1$ for any prime factor $q$ of $N$, and provide a polynomial-time quantum…

Quantum Physics · Physics 2013-07-05 Jeong San Kim , Eunok Bae , Soojoon Lee

Attempts to find new quantum algorithms that outperform classical computation have focused primarily on the nonabelian hidden subgroup problem, which generalizes the central problem solved by Shor's factoring algorithm. We suggest an…

Quantum Physics · Physics 2008-07-10 Andrew M. Childs , Leonard J. Schulman , Umesh V. Vazirani

We introduce the subgroup identification problem, and show that there is a finitely presented group G for which it is unsolvable, and that it is uniformly solvable in the class of finitely presented locally Hopfian groups. This is done as…

Group Theory · Mathematics 2016-10-20 Maurice Chiodo

We consider the problem of learned transform compression where we learn both, the transform as well as the probability distribution over the discrete codes. We utilize a soft relaxation of the quantization operation to allow for…

Machine Learning · Computer Science 2021-05-05 Magda Gregorová , Marc Desaules , Alexandros Kalousis

Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. Recently, Wang et al. (2018) proposed a novel reconstruction-based…

Computation and Language · Computer Science 2018-10-16 Longyue Wang , Zhaopeng Tu , Andy Way , Qun Liu

We show that a finite permutation group containing a regular abelian self-normalizing subgroup is soluble.

Group Theory · Mathematics 2013-05-29 Enrico Jabara , Pablo Spiga

In this paper we explore fundamental concepts in computational complexity theory and the boundaries of algorithmic decidability. We examine the relationship between complexity classes \textbf{P} and \textbf{NP}, where $L \in \textbf{P}$…

Computational Complexity · Computer Science 2025-12-30 Duaa Abdullah , Jasem Hamoud

This paper studies the complexity of classical modal logics and of their extension with fixed-point operators, using translations to transfer results across logics. In particular, we show several complexity results for multi-agent logics…

Logic in Computer Science · Computer Science 2022-09-22 Luca Aceto , Antonis Achilleos , Elli Anastasiadi , Adrian Francalanza , Anna Ingolfsdottir

Ordered search is the task of finding an item in an ordered list using comparison queries. The best exact classical algorithm for this fundamental problem uses $\lceil \log_{2}{n}\rceil$ queries for a list of length $n$. Quantum computers…

Quantum Physics · Physics 2025-08-01 Joseph Carolan , Andrew M. Childs , Matt Kovacs-Deak , Luke Schaeffer

We prove that the word problem of a finitely generated group $G$ is in NP (solvable in polynomial time by a non-deterministic Turing machine) if and only if this group is a subgroup of a finitely presented group $H$ with polynomial…

Group Theory · Mathematics 2007-05-23 J. -C. Birget , A. Yu. Olshanskii , E. Rips , M. Sapir

In this paper we prove that C(4)-T(4)-P, C(3)-T(6)-P and C(6)-P small cancellation groups are translation dis crete in the strongest possible sense and that in these groups for any $g$ and any $n$ there is an algorithm deciding whether or…

Group Theory · Mathematics 2009-09-25 Ilya Kapovich

With the Generative Pre-trained Transformer 3.5 (GPT-3.5) exhibiting remarkable reasoning and comprehension abilities in Natural Language Processing (NLP), most Question Answering (QA) research has primarily centered around general QA tasks…

Computation and Language · Computer Science 2023-12-20 Bowen Zhao , Changkai Ji , Yuejie Zhang , Wen He , Yingwen Wang , Qing Wang , Rui Feng , Xiaobo Zhang
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