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In this paper we demonstrate that $\textit{context free grammar (CFG) based methods for grammar induction benefit from modeling lexical dependencies}$. This contrasts to the most popular current methods for grammar induction, which focus on…

Computation and Language · Computer Science 2020-07-31 Hao Zhu , Yonatan Bisk , Graham Neubig

The ability of large language models (LLMs) to process and reason over long textual inputs is critical for a wide range of real-world applications. However, progress in this area is significantly constrained by the absence of high-quality,…

Computation and Language · Computer Science 2025-09-05 Seganrasan Subramanian , Abhigya Verma

In the growing domain of scientific machine learning, in-context operator learning has shown notable potential in building foundation models, as in this framework the model is trained to learn operators and solve differential equations…

Machine Learning · Computer Science 2024-02-02 Liu Yang , Siting Liu , Stanley J. Osher

For many compiled languages, source-level types are erased very early in the compilation process. As a result, further compiler passes may convert type-safe source into type-unsafe machine code. Type-unsafe idioms in the original source and…

Programming Languages · Computer Science 2016-03-22 Matthew Noonan , Alexey Loginov , David Cok

Lazy evaluation is a powerful tool that enables better compositionality and potentially better performance in functional programming, but it is challenging to analyze its computation cost. Existing works either require manually annotating…

Programming Languages · Computer Science 2024-07-24 Li-yao Xia , Laura Israel , Maite Kramarz , Nicholas Coltharp , Koen Claessen , Stephanie Weirich , Yao Li

This article first provides an algorithm W based type inference algorithm for an affine type system. Then the article further assumes the language equipped with the above type system uses lazy evaluation, and explores the possibility of…

Programming Languages · Computer Science 2022-04-01 Gonglin Li

One of the main challenges in the area of Neuro-Symbolic AI is to perform logical reasoning in the presence of both neural and symbolic data. This requires combining heterogeneous data sources such as knowledge graphs, neural model…

Artificial Intelligence · Computer Science 2024-03-06 Matthias Lanzinger , Stefano Sferrazza , Przemysław A. Wałęga , Georg Gottlob

Humans often employ figurative language use in communication, including during interactions with dialog systems. Thus, it is important for real-world dialog systems to be able to handle popular figurative language constructs like metaphor…

Computation and Language · Computer Science 2021-10-05 Harsh Jhamtani , Varun Gangal , Eduard Hovy , Taylor Berg-Kirkpatrick

A class of models is presented, in the form of continuation monads polymorphic for first-order individuals, that is sound and complete for minimal intuitionistic predicate logic. The proofs of soundness and completeness are constructive and…

Logic · Mathematics 2014-11-04 Danko Ilik

All formalizations of session types rely on linear types for soundness as session-typed communication channels must change their type at every operation. Embedded language implementations of session types follow suit. They either rely on…

Programming Languages · Computer Science 2023-03-03 Peter Thiemann

The effectiveness of a language model is influenced by its token representations, which must encode contextual information and handle the same word form having a plurality of meanings (polysemy). Currently, none of the common language…

Computation and Language · Computer Science 2022-06-02 Andrea Lekkas , Peter Schneider-Kamp , Isabelle Augenstein

The Lax Logical Framework, LLFP, was introduced, by a team including the last two authors, to provide a conceptual framework for integrating different proof development tools, thus allowing for external evidence and for postponing,…

Logic in Computer Science · Computer Science 2019-10-25 Fabio Alessi , Alberto Ciaffaglione , Pietro Di Gianantonio , Furio Honsell , Marina Lenisa

Typestate systems are notoriously complex as they require sophisticated machinery for tracking aliasing. We propose a new, transition-oriented foundation for typestate in the setting of impure functional programming. Our approach relies on…

Programming Languages · Computer Science 2024-09-27 Hannes Saffrich , Yuki Nishida , Peter Thiemann

A key challenge when statically typing so-called dynamic languages is the ubiquity of value-based overloading, where a given function can dynamically reflect upon and behave according to the types of its arguments. Thus, to establish basic…

Programming Languages · Computer Science 2015-05-01 Panagiotis Vekris , Benjamin Cosman , Ranjit Jhala

Iverson's APL and its descendants (such as J, K and FISh) are examples of the family of "rank-polymorphic" programming languages. The principal control mechanism of such languages is the general lifting of functions that operate on arrays…

Programming Languages · Computer Science 2019-07-02 Justin Slepak , Olin Shivers , Panagiotis Manolios

Implementing a complex concept as an executable model in a strongly typed, purely functional language hits a sweet spot between mere simulation and formal specification. For research and education it is often desirable to enrich the…

Programming Languages · Computer Science 2020-08-31 Baltasar Trancón y Widemann , Markus Lepper

Runtime efficiency and termination are crucial properties in the studies of program verification. Instead of dealing with these issues in an ad hoc manner, it would be useful to develop a robust framework in which such properties are…

Programming Languages · Computer Science 2026-04-06 Weijun Chen , Yuxi Fu , Huan Long

In this paper, we present our proposal to Constraint Functional Logic Programming over Finite Domains (CFLP(FD)) with a lazy functional logic programming language which seamlessly embodies finite domain (FD) constraints. This proposal…

Programming Languages · Computer Science 2007-05-23 Antonio J. Fernandez , Teresa Hortala-Gonzalez , Fernando Saenz-Perez , Rafael del Vado-Virseda

Many object-oriented dynamic languages allow programmers to _extract methods_ from objects and treat them as functions. This allows for flexible programming patterns, but presents challenges for type systems. In particular, a simple…

Programming Languages · Computer Science 2021-11-23 Yuquan Fu , Sam Tobin-Hochstadt

Long-context language models (LCLMs) have the potential to revolutionize our approach to tasks traditionally reliant on external tools like retrieval systems or databases. Leveraging LCLMs' ability to natively ingest and process entire…

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