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We investigate the possibility of a semantic account of the execution time (i.e. the number of \beta_v-steps leading to the normal form, if any) for the shuffling calculus, an extension of Plotkin's call-by-value {\lambda}-calculus. For…

Logic in Computer Science · Computer Science 2018-12-31 Giulio Guerrieri

The Extended Church-Turing Thesis (ECTT) posits that all effective information processing, including unbounded and non-uniform interactive computations, can be described in terms of interactive Turing machines with advice. Does this…

Formal Languages and Automata Theory · Computer Science 2024-09-12 Jiří Wiedermann , Jan van Leeuwen

First-order logic (FOL) can represent the logical entailment semantics of natural language (NL) sentences, but determining natural language entailment using FOL remains a challenge. To address this, we propose the Entailment-Preserving FOL…

Computation and Language · Computer Science 2025-02-25 Jinu Lee , Qi Liu , Runzhi Ma , Vincent Han , Ziqi Wang , Heng Ji , Julia Hockenmaier

The bisimulation proof method can be enhanced by employing `bisimulations up-to' techniques. A comprehensive theory of such enhancements has been developed for first-order (i.e., CCS-like) labelled transition systems (LTSs) and…

Logic in Computer Science · Computer Science 2023-06-22 Jean-Marie Madiot , Damien Pous , Davide Sangiorgi

Pretrained encoders for mathematical texts have achieved significant improvements on various tasks such as formula classification and information retrieval. Yet they remain limited in representing and capturing student strategies for entire…

Computers and Society · Computer Science 2026-04-13 Siddhartha Pradhan , Ethan Prihar , Erin Ottmar

Electroencephalography (EEG) recordings of brain activity taken while participants read or listen to language are widely used within the cognitive neuroscience and psycholinguistics communities as a tool to study language comprehension.…

Computation and Language · Computer Science 2019-11-05 Dan Schwartz , Tom Mitchell

With the developed "extended Monte Calro" (EMC) algorithm, we have studied the depinning transition in Ising-type lattice models by extensive numerical simulations, taking the random-field Ising model with a driving field and the driven…

Statistical Mechanics · Physics 2016-10-20 Lisha Sia , Xiaoyun Liao , Nengji Zhou

We present a C-language implementation of the lambda-pi calculus by extending the (call-by-need) stack machine of Ariola, Chang and Felleisen to hold types, using a typeless- tagless- final interpreter strategy. It has the advantage of…

Programming Languages · Computer Science 2015-09-24 David M. Rogers

Delimited control operator shift0 exhibits versatile capabilities: it can express layered monadic effects, or equivalently, algebraic effects. Little did we know it can express lambda calculus too! We present $ \Lambda_\$ $, a call-by-value…

Programming Languages · Computer Science 2023-06-22 Mateusz Pyzik

We introduce proper display calculi for intuitionistic, bi-intuitionistic and classical linear logics with exponentials, which are sound, complete, conservative, and enjoy cut-elimination and subformula property. Based on the same design,…

Logic · Mathematics 2016-11-15 Giuseppe Greco , Alessandra Palmigiano

Recent advancements in language representation learning primarily emphasize language modeling for deriving meaningful representations, often neglecting style-specific considerations. This study addresses this gap by creating generic,…

Machine Learning · Computer Science 2025-03-17 Phil Ostheimer , Marius Kloft , Sophie Fellenz

The Functional Machine Calculus (FMC), recently introduced by the authors, is a generalization of the lambda-calculus which may faithfully encode the effects of higher-order mutable store, I/O and probabilistic/non-deterministic input.…

Logic in Computer Science · Computer Science 2023-02-07 Chris Barrett , Willem Heijltjes , Guy McCusker

Adapting pre-trained language models (PLMs) for time-series text classification amidst evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance detection. This study benchmarks the effectiveness of…

This paper shows that the $\pi$-calculus with implicit matching is no more expressive than CCS$\gamma$, a variant of CCS in which the result of a synchronisation of two actions is itself an action subject to relabelling or restriction,…

Logic in Computer Science · Computer Science 2022-03-23 Rob van Glabbeek

Incremental computation aims to compute more efficiently on changed input by reusing previously computed results. We give a high-level overview of works on incremental computation, and highlight the essence underlying all of them, which we…

Programming Languages · Computer Science 2025-10-15 Yanhong A. Liu

We present an abstract framework for concurrent processes in which atomic steps have generic side effects, handled according to the principle of monadic encapsulation of effects. Processes in this framework are potentially infinite…

Logic in Computer Science · Computer Science 2011-04-18 Sergey Goncharov , Lutz Schröder

Expectation Propagation (EP) is a widely used message-passing algorithm that decomposes a global inference problem into multiple local ones. It approximates marginal distributions (beliefs) using intermediate functions (messages). While…

Information Theory · Computer Science 2026-01-30 Zilu Zhao , Fangqing Xiao , Dirk Slock

We consider the non-deterministic extension of the call-by-value lambda calculus, which corresponds to the additive fragment of the linear-algebraic lambda-calculus. We define a fine-grained type system, capturing the right linearity…

Logic in Computer Science · Computer Science 2012-09-12 Alejandro Díaz-Caro , Barbara Petit

Pre-trained word embeddings are widely used for transfer learning in natural language processing. The embeddings are continuous and distributed representations of the words that preserve their similarities in compact Euclidean spaces.…

Computation and Language · Computer Science 2020-06-25 Halid Ziya Yerebakan , Parmeet Bhatia , Yoshihisa Shinagawa

Solving complex mathematical problems via system-2 reasoning is a natural human skill, yet it remains a significant challenge for current large language models (LLMs). We identify the scarcity of deliberate multi-step reasoning data as a…

Artificial Intelligence · Computer Science 2024-12-25 Huanqia Cai , Yijun Yang , Zhifeng Li
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