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Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering [PDF]
Transactions 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]
Conference 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]
Proc. 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]
Conference 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
Mathematics, 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
IEEE 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
Sensors, 2022 Hiding the identity of involved participants in the network, known as anonymity, is a crucial issue in some cryptographic applications such as electronic voting systems, auctions, digital signatures, and Byzantine agreements.
Saw Nang Paing +5 more
doaj +1 more source
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction
IEEE Transactions on Software Engineering, 2022 In the research of mining software repositories, we need to label a large amount of data to construct a predictive model. The correctness of the labels will affect the performance of a model substantially.
Xiaoxue Wu, Wei Zheng, Xin Xia, D. Lo
semanticscholar +1 more source
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair [PDF]
International Conference on Automated Software Engineering, 2020 A large body of the literature of automated program repair develops approaches where patches are generated to be validated against an oracle (e.g., a test suite).
Haoye Tian +6 more
semanticscholar +1 more source
Nursing Open, 2023 Aim This study was conducted to determine the correctness and completeness of documentation of partographs. Design This was a retrospective descriptive study.
Archbald Bahizi +2 more
doaj +1 more source