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Identifying Patch Correctness in Test-Based Program Repair [PDF]

open access: yesInternational Conference on Software Engineering, 2018
Test-based automatic program repair has attracted a lot of attention in recent years. However, the test suites in practice are often too weak to guarantee correctness and existing approaches often generate a large number of incorrect patches. To reduce
Huang, Gang   +4 more
core   +2 more sources

Verified Correctness and Security of mbedTLS HMAC-DRBG [PDF]

open access: yesConference on Computer and Communications Security, 2017
We have formalized the functional specification of HMAC-DRBG (NIST 800-90A), and we have proved its cryptographic security--that its output is pseudorandom--using a hybrid game-based proof.
Almeida José Bacelar   +8 more
core   +2 more sources

Program Derivation by Correctness Enhacements [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2016
Relative correctness is the property of a program to be more-correct than another program with respect to a given specification. Among the many properties of relative correctness, that which we found most intriguing is the property that program P ...
Nafi Diallo   +3 more
doaj   +4 more sources

Program Repair by Stepwise Correctness Enhancement [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2016
Relative correctness is the property of a program to be more-correct than another with respect to a given specification. Whereas the traditional definition of (absolute) correctness divides candidate program into two classes (correct, and incorrect ...
Nafi Diallo, Wided Ghardallou, Ali Mili
doaj   +4 more sources

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering [PDF]

open access: yesTransactions of the Association for Computational Linguistics, 2023
Instruction-following models are attractive alternatives to fine-tuned approaches for question answering (QA). By simply prepending relevant documents and an instruction to their input, these models can be adapted to various information domains and tasks
Vaibhav Adlakha   +4 more
semanticscholar   +1 more source

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Multi-step reasoning ability is fundamental to many natural language tasks, yet it is unclear what constitutes a good reasoning chain and how to evaluate them.
Archiki Prasad   +3 more
semanticscholar   +1 more source

Outcome Logic: A Unifying Foundation for Correctness and Incorrectness Reasoning [PDF]

open access: yesProc. ACM Program. Lang., 2023
Program logics for bug-finding (such as the recently introduced Incorrectness Logic) have framed correctness and incorrectness as dual concepts requiring different logical foundations.
Noam Zilberstein   +2 more
semanticscholar   +1 more source

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2022
Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors.
Jean-Benoit Delbrouck   +5 more
semanticscholar   +1 more source

Maximal Regularity Estimates and the Solvability of Nonlinear Differential Equations

open access: yesMathematics, 2022
We study a type of third-order linear differential equations with variable and unbounded coefficients, which are defined in an infinite interval. We also consider a non-linear generalization with coefficients that depends on an unknown function.
Myrzagali Ospanov, Kordan Ospanov
doaj   +1 more source

Correct and Crisp Edge Detection Approach Based on Dense Network

open access: yesIEEE Access, 2023
Edge detection is a basic problem in computer vision and image processing. The main purpose of edge detection is to identify points with obvious brightness changes in digital images.
Xiaohua Li   +4 more
doaj   +1 more source

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