wanyu/IteraTeR_v2 huggingface dataset:
Original:  We propose a stochastic (ordered-subsets) extension of the Learned Primal-Dual (LPD) which is the state-of-the-art unrolling network.
Revised:  We propose a stochastic (ordered-subsets) extension of the Learned Primal-Dual (LPD) which is a state-of-the-art unrolling network.
Edit intent: fluency
Original:  In our unrolling network, we only use a subset of the forward and adjoint operator, to achieve computational efficiency.
Revised:  In our unrolling network, we only use subsets of the forward and adjoint operator, to achieve computational efficiency.
Edit intent: fluency
Original:  Our numerical results demonstrate the effectiveness of our approach in X-ray CT imaging task, showing that our networks achieve similar reconstruction accuracies as the full-batch LPD, while require only a fraction of the computation.
Revised:  Our numerical results demonstrate the effectiveness of our approach in X-ray CT imaging task, showing that our networks achieve similar reconstruction accuracies as the full-batch LPD, while requiring only a fraction of the computation.
Edit intent: fluency
Original: Artificial intelligence (AI) techniques have significant potential to enable effective, robust , and automated image phenotyping including identification of subtle patterns.
Revised: Artificial intelligence (AI) techniques have significant potential to enable effective, robust and automated image phenotyping including identification of subtle patterns.
Edit intent: fluency
Original:  To demonstrate the applicability of our approach , we provide two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbooks like CACAO into the MISP threat intelligence platform and the Threat Actor Context ontology.
Revised:  We demonstrate the applicability of our approach , we provide two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbooks like CACAO into the MISP threat intelligence platform and the Threat Actor Context ontology.
Edit intent: fluency
Original:  To demonstrate the applicability of our approach , we provide two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbooks like CACAO into the MISP threat intelligence platform and the Threat Actor Context ontology.
Revised:  To demonstrate the applicability of our approach through two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbooks like CACAO into the MISP threat intelligence platform and the Threat Actor Context ontology.
Edit intent: clarity
Original:  the first open standard that harmonizes the way we document course of action playbooks in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing security playbooks as part of cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of security playbooks into knowledge representation and knowledge management systems.
Revised:  the first open standard that harmonizes the way we document courses of action in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing security playbooks as part of cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of security playbooks into knowledge representation and knowledge management systems.
Edit intent: fluency
Original:  the first open standard that harmonizes the way we document course of action playbooks in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing security playbooks as part of cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of security playbooks into knowledge representation and knowledge management systems.
Revised:  the first open standard that harmonizes the way we document course of action playbooks in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing course of action playbooks with cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of security playbooks into knowledge representation and knowledge management systems.
Edit intent: clarity
Original:  the first open standard that harmonizes the way we document course of action playbooks in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing security playbooks as part of cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of security playbooks into knowledge representation and knowledge management systems.
Revised:  the first open standard that harmonizes the way we document course of action playbooks in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing security playbooks as part of cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of course of action playbooks into knowledge representation and knowledge management systems.
Edit intent: fluency
Original:  We demonstrate the applicability of our approach through two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbookslike CACAO into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Revised:  We demonstrate the applicability of our approach through two use-case implementations where the proposed playbook metadata template is used to introduce security playbookslike CACAO into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Edit intent: clarity
Original:  We demonstrate the applicability of our approach through two use-case implementations where our uniform non-proprietary metadata template is used to introduce security playbookslike CACAO into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Revised:  We demonstrate the applicability of our approach through two use-case implementations where our uniform non-proprietary metadata template is utilized to introduce and integrate course of action playbooks, such as CACAO, into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Edit intent: clarity
Original:  the first open standard that harmonizes the way we document courses of action in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing course of action playbooks with cyber threat intelligence, we introduce a uniform metadata template that supports the management and integration of course of action playbooks into knowledge representation and knowledge management systems.
Revised:  the first open standard that harmonizes the way we document courses of action in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and coupling and sharing course of action playbooks with cyber threat intelligence, we introduce a uniform metadata template that supports managing and integrating course of action playbooks into knowledge representation and knowledge management systems.
Edit intent: fluency
Original:  We demonstrate the applicability of our approach through two use-case implementations where the proposed playbook metadata template is utilized to introduce and integrate course of action playbooks, such as CACAO, into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Revised:  We demonstrate the applicability of our approach through two use-case implementations . We utilize the playbook metadata template is utilized to introduce and integrate course of action playbooks, such as CACAO, into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Edit intent: coherence
Original:  We demonstrate the applicability of our approach through two use-case implementations where the proposed playbook metadata template is utilized to introduce and integrate course of action playbooks, such as CACAO, into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Revised:  We demonstrate the applicability of our approach through two use-case implementations where the proposed playbook metadata template to introduce functionality and integrate course of action playbooks, such as CACAO, into the MISP threat intelligence platform and the OASIS Threat Actor Context ontology.
Edit intent: clarity
Original: While we pay attention to the latest advances in clinical natural language processing (NLP), we can notice some resistance in the clinical and translational research community to adopt NLP models due to limited transparency, Interpretability and usability.
Revised: While we pay attention to the latest advances in clinical natural language processing (NLP), we can notice some resistance in the clinical and translational research community to adopt NLP models due to limited transparency, interpretability, and usability.
Edit intent: fluency
Original:  Built upon our previous work, in this study, we proposed an open natural language processing development framework and evaluated it through the implementation of NLP algorithms for the National COVID Cohort Collaborative (N3C).
Revised:  In this study, we proposed an open natural language processing development framework and evaluated it through the implementation of NLP algorithms for the National COVID Cohort Collaborative (N3C).
Edit intent: clarity
Original:  Built upon our previous work, in this study, we proposed an open natural language processing development framework and evaluated it through the implementation of NLP algorithms for the National COVID Cohort Collaborative (N3C).
Revised:  Built upon our previous work, in this study, we proposed an open natural language processing development framework . We evaluated it through the implementation of NLP algorithms for the National COVID Cohort Collaborative (N3C).
Edit intent: coherence
Original:  The generated corpora derived out of the texts from multiple intuitions and gold standard annotation are tested on a single institution's rule set has the performances in F1 score of 0.876, 0.706  and 0.694 , respectively.
Revised:  The generated corpora derived out of the texts from multiple intuitions and gold standard annotation are tested on a single institution's rule set has the performances in F1 score of 0.876, 0.706 , and 0.694 , respectively.
Edit intent: fluency
Original:  As researchers and practitioners begin to leverage XAI algorithms to build XAI applications  , explainability has moved beyond a demand by data scientists or researchers to comprehend the models they are developing, to become an essential requirement for people to trust and adopt AI deployed in numerous domains.
Revised:  As researchers and practitioners to build XAI applications , explainability has moved beyond a demand by data scientists or researchers to comprehend the models they are developing, to become an essential requirement for people to trust and adopt AI deployed in numerous domains.
Edit intent: clarity
Original:   Human-computer interaction (HCI) research and user experience (UX) design in this area are therefore increasingly important.
Revised:  Human-computer interaction (HCI) research and user experience (UX) design in this area are becoming increasingly important.
Edit intent: coherence
Original:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies  : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Revised:  We ask the question " \textit{ " and highlight three roles that they should play in shaping XAI technologies : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Edit intent: clarity
Original:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies  : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Revised:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they play in shaping XAI technologies : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Edit intent: coherence
Original:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies  : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Revised:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies : to drive technical choices by users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Edit intent: clarity
Original:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies  : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods through empirical studies and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Revised:  We ask the question " what are human-centered approaches doing for XAI \textit{ " and highlight three roles that they should play in shaping XAI technologies : to drive technical choices by understanding users' explainability needs, to uncover pitfalls of existing XAI methods and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Edit intent: clarity
Original: This paper characterizes the probability of a market failure defined as the simultaneous default of two  globally systemically important banks (G-SIBs) , where the default probabilities are correlated .
Revised: This paper characterizes the probability of a market failure defined as the default of two globally systemically important banks (G-SIBs) , where the default probabilities are correlated .
Edit intent: clarity
Original:  The characterization employs a multivariate Cox process across the G-SIBs  . Various theorems related to market failure probabilities are derived, including the  impact of increasing the number of G-SIBs in an economy and changing the initial conditions of the economy's state variables. 
Revised:  The characterization employs a multivariate Cox process across the G-SIBs . Various theorems related to market failure probabilities are derived, including the impact of increasing the number of G-SIBs in an economy , and the impact of changing the initial conditions of the economy's state variables. 
Edit intent: fluency
Original:  His 1972 article, titled "The Apportionment of Human Diversity," has been subject to wildly different interpretations: Either it shows we are all equal, or it shows small but significant differences among human races.
Edit intent: coherence
Original:  I hope to illuminate the  basic anatomy and argumentative arc of the article , and why it became such a historically important document.
Revised:  I hope to illuminate the article's basic anatomy and argumentative arc of the article , and why it became such a historically important document.
Edit intent: fluency
Original:  I hope to illuminate the  basic anatomy and argumentative arc of the article , and why it became such a historically important document.
Revised:  I hope to illuminate the basic anatomy and argumentative arc , and why it became such a historically important document.
Edit intent: clarity
Original:  I show that "Lewontin's Distribution" of, within populations, among populations but within races, and among races , diversity apportionment is properly 86\% / 7\% / 7\% , respectively .
Revised:  I show that "Lewontin's Distribution" of, within populations, among populations but within races, and among races , diversity apportionment is properly 86\% , 7\% / 7\% , respectively .
Edit intent: fluency
Original:  I show that "Lewontin's Distribution" of, within populations, among populations but within races, and among races , diversity apportionment is properly 86\% / 7\% / 7\% , respectively .
Revised:  I show that "Lewontin's Distribution" of, within populations, among populations but within races, and among races , diversity apportionment is properly 86\% / 7\% , 7\% , respectively .
Edit intent: fluency
Original:  Extensive experiments on multiple benchmark datasets and many visualization results indicate that our methods is significantly superior to other existing approaches.
Revised:  Extensive experiments on multiple benchmark datasets and many visualization results indicate that our methods is superior to most existing approaches.
Edit intent: clarity
Original:  Our proposed framework achieves superior performance on both server and client models and provides several advantages in a unified framework, including flexibility for heterogeneous client architectures, robustness to poisoning attacks, and communication efficiency between clients and server . By bridging FL effectively with larger server model training, our proposed paradigm paves ways for robust and continual knowledge accumulation from distributed and private data .
Revised:  Our proposed framework achieves superior performance on both server and client models and provides several advantages in a unified framework, including flexibility for heterogeneous client architectures, robustness to poisoning attacks, and communication efficiency between clients and server on various image classification tasks .
Edit intent: clarity
Original:  The train-deployment discrepancy, relating how poor data augmentation leads to a discrepancy in model accuracy between training and deployment, is often neglected in many papers and thus the work is extended by analysing and evaluating the impact real word perturbations had on model accuracy once deployed.
Revised:  The train-deployment discrepancy, relating how poor data augmentation leads to a discrepancy in model accuracy between training and deployment, is often neglected in many papers and thus the work is extended by analysing and evaluating the impact real world perturbations had on model accuracy once deployed.
Edit intent: fluency
Original: High frequency reporting of energy utilization data in smart grid can leads to leaking sensitive information regarding end users life style.
Revised: High frequency reporting of energy utilization data in smart grids can be used to infer sensitive information regarding end users life style.
Edit intent: clarity
Original: High frequency reporting of energy utilization data in smart grid can leads to leaking sensitive information regarding end users life style.
Revised: High frequency reporting of energy utilization data in smart grid can leads to leaking sensitive information regarding the consumer's life style.
Edit intent: clarity
Original:  We show that the choices that maximize the long-run growth rate are induced by a heterogeneous population in which the least and most risk averse agents are indifferent between  aggregate risk and obtaining its linear and harmonic mean for sure, respectively.
Revised:  We show that the choices that maximize the long-run growth rate are induced by a heterogeneous population in which the least and most risk-averse agents are indifferent between aggregate risk and obtaining its linear and harmonic mean for sure, respectively.
Edit intent: fluency
Original:  We show that the choices that maximize the long-run growth rate are induced by a heterogeneous population in which the least and most risk averse agents are indifferent between  aggregate risk and obtaining its linear and harmonic mean for sure, respectively.
Revised:  We show that the choices that maximize the long-run growth rate are induced by a heterogeneous population in which the least and most risk averse agents are indifferent between taking an aggregate risk and obtaining its linear and harmonic mean for sure, respectively.
Edit intent: clarity
Original:  This results in a novel loss function, namely Relativistic Margin Cosine Loss (RMCosGAN).
Revised:  This results in a novel loss function, namely Relativistic Margin Cosine Loss (RMCosGAN).
Edit intent: fluency
Original:  Considering both effectiveness and efficiency, VLDeformer provides a superior selection for cross-modal retrieval in the similar pre-training datascale\\%DIF > average  .
Revised:  Considering both effectiveness and efficiency, VLDeformer provides a superior selection for cross-modal knowledge from early-interaction pre-training datascale\\%DIF > average .
Edit intent: clarity
Original: Although DALL%DIFDELCMD < \cdotE %%%  has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositionality is provided by the text.
Revised: Although %DIFDELCMD < \cdotE %%% has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositionality is provided by the text.
Edit intent: fluency
Original:  However, unlike DALL%DIFDELCMD < \cdotE %%%  its ability to systematically generalize for zero-shot generation is significantly limited.
Revised:  However, unlike %DIFDELCMD < \cdotE %%% its ability to systematically generalize for zero-shot generation is significantly limited.
Edit intent: fluency
Original:  As such, this model can also be seen as an illiterate DALL%DIFDELCMD < \cdotE %%%  model.
Revised:  As such, this model can also be seen as an illiterate %DIFDELCMD < \cdotE %%% model.
Edit intent: fluency
Original:  MLPerfTM is a community-driven standard to benchmark machine learning workloads, focusing on end-to-end performance metrics.
Revised:  MLPerf is a community-driven standard to benchmark machine learning workloads, focusing on end-to-end performance metrics.
Edit intent: clarity
Original:  In this paper, we introduce MLPerf HPC, a benchmark suite of largescale scientific machine learning training applications , driven by the MLCommonsTM Association.
Revised:  In this paper, we introduce MLPerf HPC, a benchmark suite of large-scale scientific machine learning training applications , driven by the MLCommonsTM Association.
Edit intent: fluency
Original:  In this paper, we introduce MLPerf HPC, a benchmark suite of largescale scientific machine learning training applications , driven by the MLCommonsTM Association.
Revised:  In this paper, we introduce MLPerf HPC, a benchmark suite of largescale scientific machine learning training applications driven by the MLCommonsTM Association.
Edit intent: fluency