wanyu/IteraTeR_v2 huggingface dataset:
Original:  second, the rate that new vertices join a network is a central factor in molding a network's topology;
Revised:  (b) the rate that new vertices join a network is a central factor in molding a network's topology;
Edit intent: coherence
Original:  We applied our learnings to develop a simple network-generation model -- a flexible model based on large-scale, real-world data.
Revised:  We applied our learnings to develop a flexible network-generation model -- a flexible model based on large-scale, real-world data.
Edit intent: clarity
Original:  We applied our learnings to develop a simple network-generation model -- a flexible model based on large-scale, real-world data.
Revised:  We applied our learnings to develop a simple network-generation model based on large-scale, real-world data.
Edit intent: clarity
Original:  Our results are applicable to dynamic systems in nature and society, and deliver a better understanding of how stars within these networks rise and fall  .
Revised:  This model gives a better understanding of how stars within these networks rise and fall .
Edit intent: clarity
Original:  Our results are applicable to dynamic systems in nature and society, and deliver a better understanding of how stars within these networks rise and fall  .
Revised:  Our results are applicable to dynamic systems in nature and society, and deliver a better understanding of how stars rise and fall .
Edit intent: clarity
Original:   Independence and sparsity of the model are achieved by a threshold adjustment rule and  a softmax function implementing inhibition in the representation layer consisting of WTA-thresholded spiking neurons.
Revised:  Independence and sparsity of the model are achieved by the threshold adjustment rule and a softmax function implementing inhibition in the representation layer consisting of WTA-thresholded spiking neurons.
Edit intent: fluency
Original:   Independence and sparsity of the model are achieved by a threshold adjustment rule and  a softmax function implementing inhibition in the representation layer consisting of WTA-thresholded spiking neurons.
Revised:  Independence and sparsity of the model are achieved by a threshold adjustment rule and by a softmax function implementing inhibition in the representation layer consisting of WTA-thresholded spiking neurons.
Edit intent: fluency
Original:  The method introduces a novel spike-timing-dependent plasticity (STDP) learning rule and a threshold adjustment rule that are derived from a vector quantization-like objective function subject to a sparsity constraint.
Revised:  The method introduces a novel spike-timing-dependent plasticity (STDP) learning rule and a threshold adjustment rule both derived from a vector quantization-like objective function subject to a sparsity constraint.
Edit intent: clarity
Original:  The estimates are derived from a simulation of a Toffoli gate network for controlled elliptic curve point addition, implemented within the framework of the quantum computing software toolsuite LIQUi|\rangle.
Revised:  The estimates are derived from a simulation of a Toffoli gate network for controlled elliptic curve point addition, implemented within the framework of the quantum computing software tool suite LIQUi|\rangle.
Edit intent: fluency
Original:  The results also confirm estimates given earlier by Proos and Zalka and indicate that, for current parameters at comparable classical security levels, the number of qubits required to tackle elliptic curves is less than for attacking RSA, suggesting that indeed ECC is an easier target than RSA.
Revised:  The results also support estimates given earlier by Proos and Zalka and indicate that, for current parameters at comparable classical security levels, the number of qubits required to tackle elliptic curves is less than for attacking RSA, suggesting that indeed ECC is an easier target than RSA.
Edit intent: clarity
Original: Given a monochrome manga and reference images as inputs, a colorization tool, "Comicolorization", generates a plausible color version  .
Revised: Given a monochrome manga and reference images as inputs, a colorization tool, "Comicolorization", generates a plausible color version of the manga .
Edit intent: clarity
Original:  Although colorization research has a long history, no approaches have not focused on the colorization of an entire manga.
Revised:  Although colorization research has a long history, no approach has focused on the colorization of an entire manga.
Edit intent: clarity
Original:  Our method is the first system to colorize an entire manga page at once.
Revised:  Our method is the first system to colorize an entire manga at once.
Edit intent: clarity
Original:   Second, our tool generates a colorized manga using vivid colors and by maintaining the color coherency between colorized results.
Revised:  Second, our tool can choose vivid colors while maintaining the color coherency between colorized results.
Edit intent: clarity
Original:  Our approach employs adversarial loss while training the colorization networks to encourage the effect of given color information .
Revised:  Our approach employs adversarial loss while training the colorization network to encourage the effect of given color information .
Edit intent: fluency
Original:  Our approach employs adversarial loss while training the colorization networks to encourage the effect of given color information .
Revised:  Our approach employs adversarial loss while training the colorization networks to encourage the effect of the color features .
Edit intent: clarity
Original:  Given a monochrome manga and reference images as inputs, a colorization tool, "Comicolorization", generates a plausible color version of the manga.
Revised:  Given a monochrome manga and reference images as inputs, our system generates a plausible color version of the manga.
Edit intent: clarity
Original:  Although colorization research has a long history, no approach has focused on the colorization of an entire manga .
Revised:  This is the first work to address the colorization of an entire manga .
Edit intent: clarity
Original:  Our approach employs adversarial loss while training the colorization network to encourage the effect of the color features.
Revised:  Our approach employs adversarial loss to encourage the effect of the color features.
Edit intent: clarity
Original:  Finally , our tool allows users to revise the colorization result interactively.
Revised:  Optionally , our tool allows users to revise the colorization result interactively.
Edit intent: coherence
Original:  In addition, we find progressively diverging classification error-patterns between man and DNNs when the signal gets weaker, indicating that there may still be marked differences in the way humans and current DNNs perform visual object recognition.
Revised:  In addition, we find progressively diverging classification error-patterns between humans and DNNs when the signal gets weaker, indicating that there may still be marked differences in the way humans and current DNNs perform visual object recognition.
Edit intent: fluency
Original: We investigate large-scale effects induced by external fields, phenomenologically interpreted as mass media, in multi-agent models evolving with the microscopic dynamics of the binary Naming Game .
Revised: We investigate large-scale effects induced by external fields, phenomenologically interpreted as mass media, in multiagent models evolving with the microscopic dynamics of the binary Naming Game .
Edit intent: fluency
Original: We investigate large-scale effects induced by external fields, phenomenologically interpreted as mass media, in multi-agent models evolving with the microscopic dynamics of the binary Naming Game .
Revised: We investigate large-scale effects induced by external fields, phenomenologically interpreted as mass media, in multi-agent models evolving with the microscopic dynamics of the binary naming game .
Edit intent: fluency
Original:  In particular  we show that a single external field, broadcasting information at regular time intervals, can reverse the majority opinion of the population, provided the frequency and the effectiveness of the sent messages lie above well-defined thresholds.
Revised:  In particular , we show that a single external field, broadcasting information at regular time intervals, can reverse the majority opinion of the population, provided the frequency and the effectiveness of the sent messages lie above well-defined thresholds.
Edit intent: fluency
Original:  Such equilibria occur in two cases:  i) when the frequencies of the competing messages are different but close to each other;
Revised:  Such equilibria occur in two cases: ( i) when the frequencies of the competing messages are different but close to each other;
Edit intent: fluency
Original:   ii) when the frequencies are equal and the relative time shift of the messages does not exceed half a period.
Revised:  ( ii) when the frequencies are equal and the relative time shift of the messages does not exceed half a period.
Edit intent: fluency
Original:  We interpret the observed phenomena as a result of the interplay between the external fields and the internal dynamics of the agents and conclude that, depending on the model parameters, the Naming Game is consistent with scenarios of first- or second-mover advantage (to borrow an expression from the jargon of business strategy).
Revised:  We interpret the observed phenomena as a result of the interplay between the external fields and the internal dynamics of the agents and conclude that, depending on the model parameters, the naming game is consistent with scenarios of first- or second-mover advantage (to borrow an expression from the jargon of business strategy).
Edit intent: fluency
Original: We aim at providing a social network such that users form groups to practice together some activities.
Edit intent: coherence
Original:  Our experiments shows we reach a better outcome than the classical local searchtechniques and that the distribution of our algorithm speeds up its runtime.
Revised:  Our experiments show that the outcome of our algorithms are better than those obtained with the classical search/optimization techniques. Moreover, their distribution speeds up their runtime.
Edit intent: clarity
Original: BACKGROUND : Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained.
Revised: MOTIVATION : Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained.
Edit intent: clarity
Original:  METHODS : High-resolution cardiac magnetic resonance images were automatically segmented in 1,124 healthy volunteers to create a 3D shape model of the heart.
Revised:  RESULTS : High-resolution cardiac magnetic resonance images were automatically segmented in 1,124 healthy volunteers to create a 3D shape model of the heart.
Edit intent: style
Original:  CONCLUSIONS: This framework models the effects of genetic variation throughout the heart and can be automatically applied to large population cohorts  .
Revised:  This framework models the effects of genetic variation throughout the heart and can be automatically applied to large population cohorts .
Edit intent: coherence
Original:  Thus , they avoid common concurrency bugs such as data races .
Revised:  Thereby , they avoid common concurrency bugs such as data races .
Edit intent: coherence
Original:  Thus , they avoid common concurrency bugs such as data races .
Revised:  Thus , they avoid concurrency bugs such as data races .
Edit intent: clarity
Original:  This paper studies concurrency bugs in actor-based programs reported in literature.
Revised:  This study taxonomizes concurrency bugs in actor-based programs reported in literature.
Edit intent: clarity
Original:  Based on our taxonomy, we further analyze the literature and find that current approaches to static analysis and testing focus on communication deadlocks and message protocol violations.
Revised:  Based on this taxonomy, we further analyze the literature and find that current approaches to static analysis and testing focus on communication deadlocks and message protocol violations.
Edit intent: fluency
Original:  We propose a research roadmap of the main debugging techniques that can help to support the development of actor-based programs  .
Revised:  The insights obtained in this study can be used to improve debugging support for actor-based programs .
Edit intent: clarity
Original:  In this work, we study and compare the performance of DNN and EVF features for the purpose of physical artwork recommendation using transaction data from UGallery, an online store of physical paintings.
Revised:  In this work, we study and compare the performance of DNN and EVF features for the purpose of physical artwork recommendation using transactional data from UGallery, an online store of physical paintings.
Edit intent: fluency
Original: We present a hardware mechanism called Hour-Glass to predictably share data in a multi-core system where cores are explicitly designated as critical or non-critical.
Revised: This work addresses the challenge of allowing simultaneous and predictable accesses to shared data on multi-core system where cores are explicitly designated as critical or non-critical.
Edit intent: clarity
Original:  We evaluate HourGlass using gem5, and with multithreaded benchmark suites including SPLASH-2 , and synthetic workloads.
Revised:  We evaluate HourGlass using gem5, and execute SPLASH-2 , and synthetic workloads.
Edit intent: clarity
Original:  We evaluate HourGlass using gem5, and with multithreaded benchmark suites including SPLASH-2 , and synthetic workloads.
Revised:  We evaluate HourGlass using gem5, and with multithreaded benchmark suites including SPLASH-2 and synthetic multi-threaded workloads.
Edit intent: clarity
Original:  Our  results show that the WCL for critical cores with HourGlass is always within the analytical WCL bounds, and provides a tighter WCL bound on critical cores compared to the state-of-the-art real-time cache coherence protocol.
Revised:  Our empirical results show that the WCL for critical cores with HourGlass is always within the analytical WCL bounds, and provides a tighter WCL bound on critical cores compared to the state-of-the-art real-time cache coherence protocol.
Edit intent: clarity
Original:  Our  results show that the WCL for critical cores with HourGlass is always within the analytical WCL bounds, and provides a tighter WCL bound on critical cores compared to the state-of-the-art real-time cache coherence protocol.
Revised:  Our results show that our approach is always within the analytical WCL bounds, and provides a tighter WCL bound on critical cores compared to the state-of-the-art real-time cache coherence protocol.
Edit intent: clarity
Original:  The average-case performance of HourGlass is comparable to the state-of-the-art real-time cache coherence protocol, and suffers a slowdown of 1.43 x and 1.46x compared to the conventional MSI and MESI protocols  .
Revised:  The average-case performance of HourGlass is comparable to the state-of-the-art real-time cache coherence protocol, and suffers a slowdown of 1.43 x and 1.46x compared to conventional MSI and MESI protocols .
Edit intent: fluency
Original:  We implement PMSI in gem5, and execute SPLASH-2 and synthetic multi-threaded workloads.
Revised:  We implement PMSI in gem5, and execute SPLASH-2 , and synthetic workloads.
Edit intent: clarity
Original:  Our empirical results show that our approach is always within the analytical worst-case latency bounds, and that PMSI improves average-case performance by up to 4x over the next best predictable alternative.
Revised:  Our results show that our approach is always within the analytical worst-case latency bounds, and that PMSI improves average-case performance by up to 4x over the next best predictable alternative.
Edit intent: clarity
Original:  PMSI has average slowdowns of 1.45 x and 1.46x compared to  conventional MSI and MESI protocols , respectively .
Revised:  PMSI has average slowdowns of 1.45 x and 1.46x compared to the conventional MSI and MESI protocols , respectively .
Edit intent: fluency
Original:  PMSI has average slowdowns of 1.45 x and 1.46x compared to  conventional MSI and MESI protocols , respectively .
Revised:  PMSI has average slowdowns of 1.45 x and 1.46x compared to conventional MSI and MESI protocols .
Edit intent: clarity
Original: In this paper, we propose to use Multi-Scale Convolutional Neural Networks (CNNs) to conduct forgery localization in digital image forensics.
Revised: In this paper, a digital image forgery localization method based on Multi-Scale Convolutional Neural Networks (CNNs) to conduct forgery localization in digital image forensics.
Edit intent: clarity
Original:  Then , we elaborately design the training procedures of CNNs on sampled training patches in the IEEE IFS-TC Image Forensics Challenge training images .
Revised:  Then , we elaborately design the training procedures of CNNs on sampled training patches .
Edit intent: clarity
Original:  With a set of carefully trained multi-scale CNNs,  tampering possibility maps generated by these CNNs are fused to get the final decision maps.
Revised:  With a set of carefully trained multi-scale CNNs, tampering possibility maps can be generated, and then fused to get the final decision maps.
Edit intent: clarity
Original:  By exploiting the benefits of both the small-scale and large-scale analyses, the multi-scale analysis can lead to a performance leap for forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Revised:  By exploiting the benefits of both the small-scale and large-scale analyses, the multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Edit intent: fluency
Original: In this paper, a digital image forgery localization method based on Multi-Scale Convolutional Neural Networks (CNNs) is proposed.
Revised: In this paper, we propose to utilize Convolutional Neural Networks (CNNs) is proposed.
Edit intent: clarity
Original:  To deal with input sliding windows of different scales, we adopt a unified CNN architecture .
Revised:  To deal with input sliding windows of different scales, a unified CNN architecture .
Edit intent: clarity
Original:  With a set of carefully trained multi-scale  CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the  multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Revised:  With a set of robust multi-scale CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Edit intent: clarity
Original:  With a set of carefully trained multi-scale  CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the  multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Revised:  With a set of carefully trained multi-scale tampering detectors based on CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Edit intent: clarity
Original:  With a set of carefully trained multi-scale  CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the  multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.
Revised:  With a set of carefully trained multi-scale CNNs, complementary tampering possibility maps can be generated , and then fused to get the final decision maps . By exploiting the benefits of both the small-scale and large-scale analyses, the multi-scale analysis can lead to a performance leap in forgery localization of CNNs. Numerous experiments are conducted to demonstrate the effectiveness and efficiency of our method.
Edit intent: clarity
Original:  The LM accelerator targets area constrained System-on-a-Chip designs such as those found on mobile devices that cannot afford the multi-megabyte buffers that would be needed to store each layer on-chip during processing.
Revised:  LM targets area- and bandwidth-constrained System-on-a-Chip designs such as those found on mobile devices that cannot afford the multi-megabyte buffers that would be needed to store each layer on-chip during processing.
Edit intent: clarity
Original:  Moreover, LM can trade-off accuracy for additional improvements in execution performance and energy efficiency  .
Revised:  LM can trade-off accuracy for additional improvements in execution performance and energy efficiency .
Edit intent: coherence
Original: Low-rank approximations are popular techniques to reduce the high computational cost of  large-scale kernel matrices , which are of significant interest in many applications .
Revised: Low-rank approximations are popular methods to reduce the high computational cost of large-scale kernel matrices , which are of significant interest in many applications .
Edit intent: clarity
Original: Low-rank approximations are popular techniques to reduce the high computational cost of  large-scale kernel matrices , which are of significant interest in many applications .
Revised: Low-rank approximations are popular techniques to reduce the high computational cost of algorithms involving large-scale kernel matrices , which are of significant interest in many applications .
Edit intent: clarity
Original: Low-rank approximations are popular techniques to reduce the high computational cost of  large-scale kernel matrices , which are of significant interest in many applications .
Revised: Low-rank approximations are popular techniques to reduce the high computational cost of large-scale kernel matrices .
Edit intent: coherence
Original:  First, the rank of RBFs  grows polynomially with the data dimension , in the worst case;
Revised:  First, the rank of RBFs , in the worst case, grows polynomially with the data dimension , in the worst case;
Edit intent: fluency
Original:  and last, a group pattern in the decay of singular values for RBF kernel matrices is  analyzed, and is explained by a grouping of the expansion terms  . Empirical results verify and illustrate the theoretical results.
Revised:  and last, a group pattern in the decay of singular values for RBF kernel matrices is observed and analyzed, and is explained by a grouping of the expansion terms . Empirical results verify and illustrate the theoretical results.
Edit intent: clarity
Original:  and last, a group pattern in the decay of singular values for RBF kernel matrices is  analyzed, and is explained by a grouping of the expansion terms  . Empirical results verify and illustrate the theoretical results.
Revised:  and last, a group pattern in the decay of singular values for RBF kernel matrices is analyzed, and is explained by a grouping of the expansion terms . Empirical results verify the theoretical results.
Edit intent: clarity