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Pseudorandmness plays an important role in number theory, complexity theory and cryptography. Our aim is to use models of arithmetic to explain pseudorandomness by randomness. To this end we construct a set of models $\cal M$, a common…

Logic · Mathematics 2012-10-18 Pavel Pudlak

Learned sparse text embeddings have gained popularity due to their effectiveness in top-k retrieval and inherent interpretability. Their distributional idiosyncrasies, however, have long hindered their use in real-world retrieval systems.…

Information Retrieval · Computer Science 2025-01-22 Sebastian Bruch , Franco Maria Nardini , Cosimo Rulli , Rossano Venturini , Leonardo Venuta

Semi-supervised learning (SSL) provides a powerful framework for leveraging unlabeled data when labels are limited or expensive to obtain. SSL algorithms based on deep neural networks have recently proven successful on standard benchmark…

Machine Learning · Computer Science 2019-05-28 Jiaxing Wang , Yin Zheng , Xiaoshuang Chen , Junzhou Huang , Jian Cheng

Much of the existing linguistic data in many languages of the world is locked away in non-digitized books and documents. Optical character recognition (OCR) can be used to produce digitized text, and previous work has demonstrated the…

Computation and Language · Computer Science 2021-11-05 Shruti Rijhwani , Daisy Rosenblum , Antonios Anastasopoulos , Graham Neubig

Speculative Decoding has gained popularity as an effective technique for accelerating the auto-regressive inference process of Large Language Models. However, Speculative Decoding entirely relies on the availability of efficient draft…

Computation and Language · Computer Science 2025-06-06 Ofir Zafrir , Igor Margulis , Dorin Shteyman , Shira Guskin , Guy Boudoukh

In order to understand the performance of a code under maximum-likelihood (ML) decoding, it is crucial to know the minimal codewords. In the context of linear programming (LP) decoding, it turns out to be necessary to know the minimal…

Information Theory · Computer Science 2016-11-17 Pascal O. Vontobel , Roxana Smarandache , Negar Kiyavash , Jason Teutsch , Dejan Vukobratovic

Processing large complex networks recently attracted considerable interest. Complex graphs are useful in a wide range of applications from technological networks to biological systems like the human brain. Sometimes these networks are…

Data Structures and Algorithms · Computer Science 2019-12-03 Christian Schulz

The rapid development of large language models has revolutionized code intelligence in software development. However, the predominance of closed-source models has restricted extensive research and development. To address this, we introduce…

Software Engineering · Computer Science 2024-01-29 Daya Guo , Qihao Zhu , Dejian Yang , Zhenda Xie , Kai Dong , Wentao Zhang , Guanting Chen , Xiao Bi , Y. Wu , Y. K. Li , Fuli Luo , Yingfei Xiong , Wenfeng Liang

Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10,000s of sub-word tokens. When fine-tuned to target constrained formal languages like SQL, these models…

Computation and Language · Computer Science 2021-09-14 Torsten Scholak , Nathan Schucher , Dzmitry Bahdanau

Research at the intersection of machine learning, programming languages, and software engineering has recently taken important steps in proposing learnable probabilistic models of source code that exploit code's abundance of patterns. In…

Software Engineering · Computer Science 2018-05-08 Miltiadis Allamanis , Earl T. Barr , Premkumar Devanbu , Charles Sutton

Spectral clustering refers to a family of unsupervised learning algorithms that compute a spectral embedding of the original data based on the eigenvectors of a similarity graph. This non-linear transformation of the data is both the key of…

Machine Learning · Computer Science 2019-01-30 Nicolas Tremblay , Andreas Loukas

Many applications today provide users with multiple auto-complete drafts as they type, including GitHub's code completion, Gmail's smart compose, and Apple's messaging auto-suggestions. Under the hood, language models support this by…

With the ongoing growth in number of digital articles in a wider set of languages and the expanding use of different languages, we need annotation methods that enable browsing multi-lingual corpora. Multilingual probabilistic topic models…

Computation and Language · Computer Science 2021-01-11 Carlos Badenes-Olmedo , Jose-Luis Redondo García , Oscar Corcho

Given the increase of publications, search for relevant papers becomes tedious. In particular, search across disciplines or schools of thinking is not supported. This is mainly due to the retrieval with keyword queries: technical terms…

Information Retrieval · Computer Science 2022-09-02 Lukas Pfahler , Katharina Morik

Large language models (LLMs) often benefit from intermediate steps of reasoning to generate answers to complex problems. When these intermediate steps of reasoning are used to monitor the activity of the model, it is essential that this…

Machine Learning · Computer Science 2023-11-02 Fabien Roger , Ryan Greenblatt

Decoding sequences that stem from multiple transmissions of a codeword over an insertion, deletion, and substitution channel is a critical component of efficient deoxyribonucleic acid (DNA) data storage systems. In this paper, we consider a…

Information Theory · Computer Science 2022-09-13 Issam Maarouf , Andreas Lenz , Lorenz Welter , Antonia Wachter-Zeh , Eirik Rosnes , Alexandre Graell i Amat

Retrieval systems for scholarly literature offer the ability for the scientific community to search, explore and download scholarly articles across various scientific disciplines. Mostly used by the experts in the particular field, these…

Information Retrieval · Computer Science 2016-01-08 Kriste Krstovski , David A. Smith , Michael J. Kurtz

Pseudo-labeling is a key component in semi-supervised learning (SSL). It relies on iteratively using the model to generate artificial labels for the unlabeled data to train against. A common property among its various methods is that they…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Islam Nassar , Samitha Herath , Ehsan Abbasnejad , Wray Buntine , Gholamreza Haffari

Recently, discrete tokens derived from self-supervised learning (SSL) models via k-means clustering have been actively studied as pseudo-text in speech language models and as efficient intermediate representations for various tasks.…

Sound · Computer Science 2025-08-18 Kentaro Onda , Satoru Fukayama , Daisuke Saito , Nobuaki Minematsu

Randomness extraction is an essential post-processing step in practical quantum cryptography systems. When statistical fluctuations are taken into consideration, the requirement of large input data size could heavily penalise the speed and…

Quantum Physics · Physics 2024-04-09 Hong Jie Ng , Wen Yu Kon , Ignatius William Primaatmaja , Chao Wang , Charles Lim
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