English
Related papers

Related papers: Linear Contextual Metaprogramming and Session Type…

200 papers

Multi-encoder models are a broad family of context-aware neural machine translation systems that aim to improve translation quality by encoding document-level contextual information alongside the current sentence. The context encoding is…

Computation and Language · Computer Science 2022-10-25 Lorenzo Lupo , Marco Dinarelli , Laurent Besacier

In this work, we incorporate reversibility into structured communication-based programming, to allow parties of a session to automatically undo, in a rollback fashion, the effect of previously executed interactions. This permits taking…

Programming Languages · Computer Science 2014-06-16 Francesco Tiezzi , Nobuko Yoshida

While most conversational AI systems focus on textual dialogue only, conditioning utterances on visual context (when it's available) can lead to more realistic conversations. Unfortunately, a major challenge for incorporating visual context…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Paul Hongsuck Seo , Arsha Nagrani , Cordelia Schmid

We present a concurrent framework for Win32 programming based on Concurrent ML, a concurrent language with higher-order functions, static typing, lightweight threads and synchronous communication channels. The key points of the framework…

Programming Languages · Computer Science 2007-05-23 Riccardo Pucella

Model Context Protocol (MCP) has recently gained increased attention within the AI community for providing a standardized way for large language models (LLMs) to interact with external tools and services, significantly enhancing their…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-12 Zihao Ding , Mufeng Zhu , Yao Liu

Programming languages with algebraic effects often track the computations' effects using type-and-effect systems. In this paper, we propose to view an algebraic effect theory of a computation as a variable context; consequently, we propose…

Programming Languages · Computer Science 2021-08-24 Nikita Zyuzin , Aleksandar Nanevski

In-context learning (ICL) enables efficient few-shot learning in large language models (LLMs) without training, but suffers from the quadratic input complexity of transformers, limiting the maximum number of exemplars. While various…

Computation and Language · Computer Science 2025-10-10 Shaoyi Zheng , Canyu Zhang , Tianyi Zhou , Shengjie Wang

We present an asynchronous calculus for multiparty sessions with mixed choice, which extends the Simple MultiParty Session framework in order to support nondeterministic choices with both input and output prefixes. Global types -- equipped…

Logic in Computer Science · Computer Science 2026-04-09 Franco Barbanera , Mariangiola Dezani-Ciancaglini

We scale layered modal type theory to dependent types, introducing DeLaM, dependent layered modal type theory. This type theory is novel in that we have one uniform type theory in which we can not only compose and execute code, but also…

Logic in Computer Science · Computer Science 2024-07-09 Jason Z. S. Hu , Brigitte Pientka

We introduce a meta-model based on formal languages, dubbed formal choreographic languages, to study message-passing systems. Our framework allows us to generalise standard constructions from the literature and to compare them. In…

Logic in Computer Science · Computer Science 2024-02-14 Franco Barbanera , Ivan Lanese , Emilio Tuosto

LLM-for-time series (TS) methods typically treat time shallowly, injecting positional or prompt-based cues once at the input of a largely frozen decoder, which limits temporal reasoning as this information degrades through the layers. We…

Machine Learning · Computer Science 2026-02-19 Filippos Bellos , NaveenJohn Premkumar , Yannis Avrithis , Nam H. Nguyen , Jason J. Corso

Large language models (LLMs) have shown remarkable capabilities in solving complex tasks. Recent work has explored decomposing such tasks into subtasks with independent contexts. However, some contextually related subtasks may encounter…

Computation and Language · Computer Science 2025-04-01 Hongjia Liu , Jinlong Li

Concurrent C0 is an imperative programming language in the C family with session-typed message-passing concurrency. The previously proposed semantics implements asynchronous (non-blocking) output; we extend it here with non-blocking input.…

Logic in Computer Science · Computer Science 2017-01-19 Miguel Silva , Mário Florido , Frank Pfenning

Practical recommender systems experience a cold-start problem when observed user-item interactions in the history are insufficient. Meta learning, especially gradient based one, can be adopted to tackle this problem by learning initial…

Information Retrieval · Computer Science 2021-11-01 Xidong Feng , Chen Chen , Dong Li , Mengchen Zhao , Jianye Hao , Jun Wang

The goal of meta-learning is to learn to adapt to a new task with only a few labeled examples. To tackle this problem in NLP, we propose $\textit{in-context tuning}$, which recasts adaptation and prediction as a simple sequence prediction…

Computation and Language · Computer Science 2022-04-13 Yanda Chen , Ruiqi Zhong , Sheng Zha , George Karypis , He He

Linear type systems need to keep track of how programs use their resources. The standard approach is to use context splits specifying how resources are (disjointly) split across subterms. In this approach, context splits redundantly echo…

Logic in Computer Science · Computer Science 2021-09-06 Uma Zalakain , Ornela Dardha

Session types guarantee that message-passing processes adhere to predefined communication protocols. Prior work on session types has focused on deterministic languages but many message-passing systems, such as Markov chains and randomized…

Programming Languages · Computer Science 2020-11-19 Ankush Das , Di Wang , Jan Hoffmann

In recent work, we have developed a session types discipline for a calculus that features the usual constructs for session establishment and communication, but also two novel constructs that enable communicating processes to be stopped,…

Programming Languages · Computer Science 2013-12-11 Cinzia Di Giusto , Jorge A. Pérez

In programming models with a reversible semantics, computational steps can be undone. This paper addresses the integration of reversible semantics into process languages for communication-centric systems equipped with behavioral types. In…

Logic in Computer Science · Computer Science 2023-06-22 Claudio Antares Mezzina , Jorge A. Pérez

Session types capture precise protocol structure in concurrent programming, but do not specify properties of the exchanged values beyond their basic type. Refinement types are a form of dependent types that can address this limitation,…

Logic in Computer Science · Computer Science 2012-11-20 Pedro Baltazar , Dimitris Mostrous , Vasco T. Vasconcelos
‹ Prev 1 4 5 6 7 8 10 Next ›