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Interpretability methods aim to understand the algorithm implemented by a trained model (e.g., a Transofmer) by examining various aspects of the model, such as the weight matrices or the attention patterns. In this work, through a…

机器学习 · 计算机科学 2023-12-05 Kaiyue Wen , Yuchen Li , Bingbin Liu , Andrej Risteski

Though end-to-end neural approaches have recently been dominating NLP tasks in both performance and ease-of-use, they lack interpretability and robustness. We propose Binder, a training-free neural-symbolic framework that maps the task…

We argue that the implementation and verification of compilers for functional programming languages are greatly simplified by employing a higher-order representation of syntax known as Higher-Order Abstract Syntax or HOAS. The underlying…

编程语言 · 计算机科学 2017-02-14 Yuting Wang

We present Turnstile+, a high-level, macros-based metaDSL for building dependently typed languages. With it, programmers may rapidly prototype and iterate on the design of new dependently typed features and extensions. Or they may create…

编程语言 · 计算机科学 2021-07-06 Stephen Chang , Michael Ballantyne , Milo Turner , William J. Bowman

There are many ways to represent the syntax of a language with binders. In particular, nominal frameworks are metalanguages that feature (among others) name abstraction types, which can be used to specify the type of binders. The resulting…

计算机科学中的逻辑 · 计算机科学 2026-05-25 Antoine Van Muylder , Andreas Nuyts , Dominique Devriese

Type-level programming is an increasingly popular way to obtain additional type safety. Unfortunately, it remains a second-class citizen in the majority of industrially-used programming languages. We propose a new dependently-typed system…

编程语言 · 计算机科学 2020-11-17 Georg Stefan Schmid , Olivier Blanvillain , Jad Hamza , Viktor Kunčak

This paper presents a construction which transforms categorical models of additive-free propositional linear logic, closely based on de Paiva's dialectica categories and Oliva's functional interpretations of classical linear logic. The…

计算机科学中的逻辑 · 计算机科学 2014-09-26 Jules Hedges

We describe an implementation of gradient boosting and neural guidance of saturation-style automated theorem provers that does not depend on consistent symbol names across problems. For the gradient-boosting guidance, we manually create…

人工智能 · 计算机科学 2020-04-29 Jan Jakubův , Karel Chvalovský , Miroslav Olšák , Bartosz Piotrowski , Martin Suda , Josef Urban

We present two Dialectica-like constructions for models of intensional Martin-L\"of type theory based on G\"odel's original Dialectica interpretation and the Diller-Nahm variant, bringing dependent types to categorical proof theory. We set…

范畴论 · 数学 2021-05-04 Sean K. Moss , Tamara von Glehn

In local relative $p$-adic Hodge theory, we show that the Galois cohomology of a finite height crystalline representation (up to a twist) is essentially computed via the (Fontaine--Messing) syntomic complex with coefficients in the…

数论 · 数学 2025-12-03 Abhinandan

The capacity of Large Language Models (LLMs) to follow complex instructions and generate factually accurate text is critical for their real-world application. However, standard decoding methods often fail to robustly satisfy these…

Static single assignment form, or SSA, has been the dominant compiler intermediate representation for decades. In this paper, we give a type theory for a variant of SSA, including its equational theory, which are strong enough to validate a…

编程语言 · 计算机科学 2024-12-13 Jad Elkhaleq Ghalayini , Neel Krishnaswami

The Abella interactive theorem prover has proven to be an effective vehicle for reasoning about relational specifications. However, the system has a limitation that arises from the fact that it is based on a simply typed logic:…

计算机科学中的逻辑 · 计算机科学 2018-06-21 Gopalan Nadathur , Yuting Wang

Targeted sentiment classification predicts the sentiment polarity on given target mentions in input texts. Dominant methods employ neural networks for encoding the input sentence and extracting relations between target mentions and their…

计算与语言 · 计算机科学 2020-12-18 Xuefeng Bai , Pengbo Liu , Yue Zhang

A novel approach to automated learning of syntactic rules governing natural languages is proposed, based on using probabilities assigned to sentences (and potentially longer word sequences) by transformer neural network language models to…

计算与语言 · 计算机科学 2020-05-27 Ben Goertzel , Andres Suarez Madrigal , Gino Yu

We describe a transfer method based on annotation projection to develop a dependency-based semantic role labeling system for languages for which no supervised linguistic information other than parallel data is available. Unlike previous…

计算与语言 · 计算机科学 2019-04-09 Maryam Aminian , Mohammad Sadegh Rasooli , Mona Diab

Formalizing syntactic proofs of properties of logics, programming languages, security protocols, and other formal systems is a significant challenge, in large part because of the obligation to handle name-binding correctly. We present an…

计算机科学中的逻辑 · 计算机科学 2007-05-23 James Cheney

This paper presents an automatic formal controller synthesis method for nonlinear sampled-data systems with safety and reachability specifications. Fundamentally, the presented method is not restricted to polynomial systems and controllers.…

系统与控制 · 计算机科学 2018-12-07 Cees F. Verdier , Manuel Mazo

The new approach to representation of syntax of formal languages-- a formalism of syntax diagrams is offered. Syntax diagrams look a convenient language for the description of syntactic relations in the languages having nonlinear…

计算机科学中的逻辑 · 计算机科学 2008-02-28 Vladimir Lapshin

We address the problem of local type inference for a language based on System F with context-free session types. We present an algorithm that leverages the bidirectional type checking approach to propagate type information, enabling first…

编程语言 · 计算机科学 2025-05-28 Bernardo Almeida , Andreia Mordido , Vasco T. Vasconcelos