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20172026
most citedTowards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic

7 citations · 10 across the 5 of their papers we have counts for

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cs.PL2026

Unifying Function- and Argument-First Bidirectional Type Systems

Takuma Yoshioka, Taro Sekiyama, Atsushi Igarashi

Bidirectional typing mixes type synthesis and type checking into a single process. Existing bidirectional type systems can be classified into two styles based on whether, given a f…

cs.PL2023

Answer Refinement Modification: Refinement Type System for Algebraic Effects and Handlers

Fuga Kawamata, Hiroshi Unno, Taro Sekiyama +1

Algebraic effects and handlers are a mechanism to structure programs with computational effects in a modular way. They are recently gaining popularity and being adopted in practica…

cs.PL2021

Toward Neural-Network-Guided Program Synthesis and Verification

Naoki Kobayashi, Taro Sekiyama, Issei Sato +1

We propose a novel framework of program and invariant synthesis called neural network-guided synthesis. We first show that, by suitably designing and training neural networks, we c…

cs.PL20191 cited

Gradual Typing for Extensibility by Rows

Taro Sekiyama, Atsushi Igarashi

This work studies gradual typing for row types and row polymorphism. Key ingredients in this work are the dynamic row type, which represents a statically unknown part of a row, and…

cs.PL2018

Dynamic Type Inference for Gradual Hindley--Milner Typing

Yusuke Miyazaki, Taro Sekiyama, Atsushi Igarashi

Garcia and Cimini study a type inference problem for the ITGL, an implicitly and gradually typed language with let-polymorphism, and develop a sound and complete inference algorith…

cs.PL2018

Handling polymorphic algebraic effects

Taro Sekiyama, Atsushi Igarashi

Algebraic effects and handlers are a powerful abstraction mechanism to represent and implement control effects. In this work, we study their extension with parametric polymorphism…