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Autonomous systems that rely on learned perception can make unsafe decisions when sensor readings are misclassified. We study shielding for this setting: given a proposed action, a shield blocks actions that could violate safety. We…

Artificial Intelligence · Computer Science 2026-04-23 William Scarbro , Ravi Mangal

We describe a general method for verifying inequalities between real-valued expressions, especially the kinds of straightforward inferences that arise in interactive theorem proving. In contrast to approaches that aim to be complete with…

Mathematical Software · Computer Science 2016-01-05 Jeremy Avigad , Robert Y. Lewis , Cody Roux

Smart premise selection is essential when using automated reasoning as a tool for large-theory formal proof development. A good method for premise selection in complex mathematical libraries is the application of machine learning to large…

Machine Learning · Computer Science 2014-01-07 Jesse Alama , Tom Heskes , Daniel Kühlwein , Evgeni Tsivtsivadze , Josef Urban

As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60\% of the Mizar theorems in the hammer setting. We also automatically prove 75\% of the Mizar theorems when the automated provers…

Interactive theorem provers are complex systems that require sophisticated platform efforts - and hence systems programming environments - to manage effectively. The Isabelle platform exemplifies this with its Isabelle/Scala systems…

Logic in Computer Science · Computer Science 2024-12-18 Fabian Huch

Informal mathematics has been central to modern large language model (LLM) reasoning, offering flexibility and enabling efficient construction of arguments. However, purely informal reasoning is prone to logical gaps and subtle errors that…

Artificial Intelligence · Computer Science 2025-11-25 Azim Ospanov , Zijin Feng , Jiacheng Sun , Haoli Bai , Xin Shen , Farzan Farnia

Language models have become increasingly powerful tools for formal mathematical reasoning. However, most existing approaches rely exclusively on either large general-purpose models or smaller specialized models, each with distinct…

Artificial Intelligence · Computer Science 2025-07-22 Nicolas Wischermann , Claudio Mayrink Verdun , Gabriel Poesia , Francesco Noseda

HOL(y)Hammer is an online AI/ATP service for formal (computer-understandable) mathematics encoded in the HOL Light system. The service allows its users to upload and automatically process an arbitrary formal development (project) based on…

Artificial Intelligence · Computer Science 2013-09-20 Cezary Kaliszyk , Josef Urban

We study the problem of verifiable polynomial evaluation in the user-server and multi-party setups. We propose {INTERPOL}, an information-theoretically verifiable algorithm that allows a user to delegate the evaluation of a polynomial to a…

Cryptography and Security · Computer Science 2019-04-30 Saeid Sahraei , A. Salman Avestimehr

In this paper, we investigate the potential of the Boyer-Moore waterfall model for the automation of inductive proofs within a modern proof assistant. We analyze the basic concepts and methodology underlying this 30-year-old model and…

Logic in Computer Science · Computer Science 2018-08-14 Petros Papapanagiotou , Jacques Fleuriot

Elfe is an interactive system for teaching basic proof methods in discrete mathematics. The user inputs a mathematical text written in fair English which is converted to a special data-structure of first-order formulas. Certain proof…

Logic in Computer Science · Computer Science 2018-02-01 Maximilian Doré , Krysia Broda

Process-aware Recommender systems (PAR systems) are information systems that aim to monitor process executions, predict their outcome, and recommend effective interventions to reduce the risk of failure. This paper discusses monitoring,…

Software Engineering · Computer Science 2019-07-16 Marcus Dees , Massimiliano de Leoni , Wil M. P. van der Aalst , Hajo A. Reijers

Proof by induction plays a critical role in formal verification and mathematics at large. However, its automation remains as one of the long-standing challenges in Computer Science. To address this problem, we developed sem_ind. Given…

Programming Languages · Computer Science 2021-05-11 Yutaka Nagashima

Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks. However, due to the complexity and ambiguity of voice requests, some requests may not be handled properly by the standard natural language…

Machine Learning · Computer Science 2021-10-20 Wei Xiao , Qian Hu , Thahir Mohamed , Zheng Gao , Xibin Gao , Radhika Arava , Mohamed AbdelHady

Neural Theorem Proving (NTP) employs LLMs to automate formal proofs in proof assistants. While LLMs have achieved relatively remarkable success in informal reasoning tasks using natural languages, the transition to mechanized formal theorem…

Programming Languages · Computer Science 2025-12-24 Qiyuan Xu , Renxi Wang , Peixin Wang , Haonan Li , Conrad Watt

Recommender systems are a valuable tool for software engineers. For example, they can provide developers with a ranked list of files likely to contain a bug, or multiple auto-complete suggestions for a given method stub. However, the way…

Software Engineering · Computer Science 2022-08-02 Christoph Treude

Proof by induction plays a central role in formal verification. However, its automation remains as a formidable challenge in Computer Science. To solve inductive problems, human engineers often have to provide auxiliary lemmas manually. We…

Logic in Computer Science · Computer Science 2023-01-23 Yutaka Nagashima , Zijin Xu , Ningli Wang , Daniel Sebastian Goc , James Bang

Interactive theorem provers such as Coq are powerful tools to formally guarantee the correctness of software. However, using these tools requires significant manual effort and expertise. While Large Language Models (LLMs) have shown promise…

Software Engineering · Computer Science 2024-09-24 Minghai Lu , Benjamin Delaware , Tianyi Zhang

In distributed systems, trust decisions are made on the basis of integrity evidence generated via remote attestation. Examples of the kinds of evidence that might be collected are boot time image hash values; fingerprints of initialization…

Cryptography and Security · Computer Science 2024-02-02 Ian D. Kretz , Clare C. Parran , John D. Ramsdell , Paul D. Rowe

Interactive proofs are often considered as costs of formal modelling activity. In an incremental development environment such as the Rodin platform for Event-B, information from proof attempts is important input for adapting the model. This…

Software Engineering · Computer Science 2012-11-07 Thai Son Hoang