wanyu/IteraTeR_v2 huggingface dataset:
Original:  It is established analytically that  i) the novel algorithm has convergence rate identical to that of the plain-vanilla policy gradient for DRL ;
Revised:  It is established analytically that : i) the novel algorithm has convergence rate identical to that of the plain-vanilla policy gradient for DRL ;
Edit intent: fluency
Original:  while ii) if the distributed computing units are heterogeneous in terms of their reward functions and initial state distributions , the number of communication rounds needed to achieve a desirable learning accuracy is markedly reduced.
Revised:  while ii) if the distributed learners are heterogeneous in terms of their reward functions and initial state distributions , the number of communication rounds needed to achieve a desirable learning accuracy is markedly reduced.
Edit intent: clarity
Original:  while ii) if the distributed computing units are heterogeneous in terms of their reward functions and initial state distributions , the number of communication rounds needed to achieve a desirable learning accuracy is markedly reduced.
Revised:  while ii) if the distributed computing units are heterogeneous in terms of their reward functions , the number of communication rounds needed to achieve a desirable learning accuracy is markedly reduced.
Edit intent: clarity
Original:  Numerical experiments on a popular multi-agent RL benchmark corroborate the significant communication reduction attained by the novel algorithm compared to alternatives.
Revised:  Numerical experiments corroborate the communication reduction attained by the novel algorithm compared to alternatives.
Edit intent: clarity
Original:  Our estimates have provable guarantees on their quality , and experiments show promising tradeoffs between space and accuracy .
Revised:  Estimates returned by the algorithms come with provable guarantees on their quality , and experiments show promising tradeoffs between space and accuracy .
Edit intent: clarity
Original:  Our estimates have provable guarantees on their quality , and experiments show promising tradeoffs between space and accuracy .
Revised:  Our estimates have provable guarantees on their quality , and experiments show good tradeoffs between the space used and the accuracy of approximation .
Edit intent: clarity
Original:  While there are many works on counting subgraphs within unipartite graph streams , our work seems to be one of the few to effectively handle bipartite graph streams.
Revised:  While there is a significant body of work on counting subgraphs within unipartite graph streams , our work seems to be one of the few to effectively handle bipartite graph streams.
Edit intent: clarity
Original:  While there are many works on counting subgraphs within unipartite graph streams , our work seems to be one of the few to effectively handle bipartite graph streams.
Revised:  While there are many works on counting subgraphs within unipartite graph streams , our work seems to be one of the few to tackle the case of bipartite graph streams.
Edit intent: clarity
Original:  The standards-compliant method is based on the construction of a surrogate CoMP trigger function using deep learning.
Revised:  The standards compliant method is based on the construction of a surrogate CoMP trigger function using deep learning.
Edit intent: fluency
Original:  The standards compliant method is based on the construction of a surrogate CoMP trigger function using deep learning.
Revised:  The standards-compliant method is based on the construction of a surrogate CoMP trigger function using deep learning.
Edit intent: fluency
Original: We applied the integrated impact indicator (I3) to more than 10,000 journals and compared the results with other journal metrics.
Revised: We applied the integrated impact indicator (I3) to more than 10,000 journals . The results can be compared with other journal metrics.
Edit intent: coherence
Original:  I3 provides a non-parametric statistic combining the measurement of impact in terms of citations (c) and performance in terms of publications (p) into a single metric .
Revised:  I3 provides a non-parametric statistic combining the measurement of impact in terms of citations (c) and output in terms of publications (p) into a single metric .
Edit intent: clarity
Original:  I3 provides a non-parametric statistic combining the measurement of impact in terms of citations (c) and performance in terms of publications (p) into a single metric .
Revised:  I3 provides a non-parametric statistic combining the measurement of impact in terms of citations (c) and performance in terms of publications (p) .
Edit intent: clarity
Original:  We argue for weighting using four percentile classes: the top-1\% and top-10\% as excellence indicators , the top-50\% and bottom-50\% as performance indicators.
Revised:  We argue for weighting using four percentile classes: the top-1\% and top-10\% as excellence indicators ; the top-50\% and bottom-50\% as performance indicators.
Edit intent: fluency
Original:  Unlike the h-index, which also appreciates both c and p, I3 correlates significantly with both the total number of citations and publications.
Revised:  Unlike the h-index, which also incorporates both c and p, I3 correlates significantly with both the total number of citations and publications.
Edit intent: clarity
Original:  I3 and h-index are size-dependent  , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2 ) and JIF5 (JIF based on five publication years).
Revised:  I3 and h-index are size-dependent ; however , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2 ) and JIF5 (JIF based on five publication years).
Edit intent: coherence
Original:  I3 and h-index are size-dependent  , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2 ) and JIF5 (JIF based on five publication years).
Revised:  I3 and h-index are size-dependent , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with the two- and five-year Journal Impact Factors (JIF2 ) and JIF5 (JIF based on five publication years).
Edit intent: clarity
Original:  I3 and h-index are size-dependent  , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2 ) and JIF5 (JIF based on five publication years).
Revised:  I3 and h-index are size-dependent , division of I3 by the number of publications ( I3 /N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2 and JIF5 (JIF based on five publication years).
Edit intent: fluency
Original:  The values of I3 and I3 /N can be statistically tested against the expectation or  one another using chi-square tests or effect sizes.
Revised:  The values of I3* and I3* /N can be statistically tested against the expectation or one another using chi-square tests or effect sizes.
Edit intent: fluency
Original:  The values of I3 and I3 /N can be statistically tested against the expectation or  one another using chi-square tests or effect sizes.
Revised:  The values of I3 and I3 /N can be statistically tested against the expectation or against one another using chi-square tests or effect sizes.
Edit intent: fluency
Original:  Drift estimates are based on Kalman filter techniques and described by the conditional mean and variance of the drift given the observations.
Revised:  Drift estimates are based on Kalman filter techniques and described by the conditional mean and covariance matrix of the drift given the observations.
Edit intent: clarity
Original:  Numerical experiments are performed for several illustrative examples , and a MATLAB code that demonstrates how the proposed algorithm works is provided in appendix for  readers' convenience  .
Revised:  Numerical experiments are performed for several illustrative examples , and a MATLAB code of the algorithm is provided in appendix for readers' convenience .
Edit intent: clarity
Original:  Numerical experiments are performed for several illustrative examples , and a MATLAB code that demonstrates how the proposed algorithm works is provided in appendix for  readers' convenience  .
Revised:  Numerical experiments are performed for several illustrative examples , and a MATLAB code that demonstrates how the proposed algorithm works is provided in appendix for the potential readers' convenience .
Edit intent: clarity
Original: Minima distribution (MD) establishes a strict mathematical relationship between an arbitrary continuous function on a compact set and its global minima, like the well-known connection \nabla f(x^*)=0 between a differentiable convex function f and its minimizer x^*.
Revised: This paper establishes a strict mathematical relationship between an arbitrary continuous function on a compact set and its global minima, like the well-known connection \nabla f(x^*)=0 between a differentiable convex function f and its minimizer x^*.
Edit intent: clarity
Original:  and the asymptotic convergence rate can be further determined for twice continuously differentiable functions.
Revised:  and the asymptotic convergence rate can be determined for continuously differentiable functions.
Edit intent: clarity
Original:  Moreover  we provide a localisation result, which reduces the dimensionality of the solution by identifying appropriate state variables based on the constraints and the cost function.
Revised:  Moreover , we provide a localisation result, which reduces the dimensionality of the solution by identifying appropriate state variables based on the constraints and the cost function.
Edit intent: fluency
Original:  Our analysis also identifies simple modifications to the diffuse-domain PDEs that yield higher-order accuracy in \epsilon, e.g., O(\epsilon^2) in the \(L^2\) norm and O(\epsilon^p) with 1.5\le p\le 2 in the \(L^{\infty\) }  norm.
Revised:  Our analysis also identifies simple modifications to the diffuse-domain PDEs that yield higher-order accuracy in \epsilon, e.g., O(\epsilon^2) in the L^2 norm and O(\epsilon^p) with 1.5\le p\le 2 in the \(L^{\infty\) } norm.
Edit intent: fluency
Original: In mechanical models of DNA, twist-bend coupling is a cross interaction term originating from the asymmetry between major and minor grooves.
Revised: In mechanical models of DNA, twist-bend coupling , a cross interaction term originating from the asymmetry between major and minor grooves.
Edit intent: fluency
Original:  We show that such coupling induces minimal energy shapes of overtwisted DNA minicircles resembling rounded polygons, with a periodic alternance of parts with high and low curvature .
Revised:  We show that such coupling induces minimal energy shapes with a periodic alternance of parts with high and low curvature .
Edit intent: clarity
Original:  Finally, the calculation of the twist and bending energy of minicircles shows how these are governed by renormalized stiffness constants, not the bare ones.
Revised:  Finally, the calculation of the twist and bending energies of minicircles are governed by renormalized stiffness constants, not the bare ones.
Edit intent: clarity
Original:  Our method allows to compute a non-linear transformation of given descriptor functions, while optimizing for global structural properties of the resulting maps, such as their bijectivity or approximate isometry.
Revised:  Our method computes a non-linear transformation of given descriptor functions, while optimizing for global structural properties of the resulting maps, such as their bijectivity or approximate isometry.
Edit intent: clarity
Original:  To this end, we use the functional maps framework, and build upon the recently proposed FMNet architecture for descriptor learning.
Revised:  To this end, we use the functional maps framework, and build upon the recent FMNet architecture for descriptor learning.
Edit intent: clarity
Original:  We demonstrate on a wide range of challenging benchmarks, that our method leads to significant improvement compared to the existing axiomatic methods and achieves comparable, and in some cases superior results to even the supervised learning techniques  .
Revised:  We demonstrate on a wide range of challenging benchmarks, that our method leads to significant improvement compared to the existing axiomatic methods and achieves results that are comparable even to the supervised learning techniques .
Edit intent: clarity
Original:  Unlike the method proposed in that work , however, we show that learning can be done in a purely unsupervised setting , without having access to any ground truth correspondences.
Revised:  Unlike that approach , however, we show that learning can be done in a purely unsupervised setting , without having access to any ground truth correspondences.
Edit intent: clarity
Original:  Unlike the method proposed in that work , however, we show that learning can be done in a purely unsupervised setting , without having access to any ground truth correspondences.
Revised:  Unlike the method proposed in that work , however, we show that learning can be done in a purely unsupervised setting , without having access to any ground truth correspondences.
Edit intent: fluency
Original:  Moreover, our framework is an order of magnitude faster,  does not rely on geodesic distance computation or expensive post-processing.
Revised:  Moreover, our framework is an order of magnitude faster, and does not rely on geodesic distance computation or expensive post-processing.
Edit intent: coherence
Original:  However, circumstantial evidence suggests that annual-perennial interactions can cause priority effects, allowing persistent annual dominance when annuals are initially more common than perennials.
Revised:  However, circumstantial evidence suggests that annual-perennial interactions can cause priority effects, causing annual dominance to persist if they are initially more common than perennials.
Edit intent: clarity
Original:  Short-term (up to 50 years) priority effects are even more likely: they do not require a competition-longevity tradeoff and can arise solely by low fitness differences .
Revised:  We also show that short-term (up to 50 years) priority effects are even more likely: they do not require a competition-longevity tradeoff and can arise solely by low fitness differences .
Edit intent: coherence
Original:  These results question the traditional view of annual dominance as a short-lived transient state and suggest that conditions for priority effects must be understood to achieve successful restoration of perennial dominance .
Revised:  These results provide a theoretical basis for predicting when restoration of annual-invaded grasslands requires active removal of annuals and timely reintroduction of perennials .
Edit intent: clarity
Original:  However , the conditions under which these priority effects occur remain unknown.
Revised:  However , the conditions for these priority effects occur remain unknown.
Edit intent: clarity
Original:  3. The model suggests that establishment-longevity tradeoff, in which annuals have competitive advantage over perennial seedlings, is a necessary condition for equilibrium priority effects.
Revised:  3. The model suggests that establishment-longevity tradeoff is a necessary condition for equilibrium priority effects.
Edit intent: clarity
Original: Neural networks are used in a wide range of applications , such as speech recognition and image processing.
Revised: Neural networks span a wide range of applications , such as speech recognition and image processing.
Edit intent: clarity
Original:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard  STT-MRAM  array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Revised:  In this paper , we introduce a spintronic, re-configurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard STT-MRAM array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Edit intent: fluency
Original:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard  STT-MRAM  array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Revised:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard spintronic memory ( STT-MRAM array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Edit intent: clarity
Original:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard  STT-MRAM  array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Revised:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard STT-MRAM ) array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Edit intent: fluency
Original:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard  STT-MRAM  array and a computational substrate simultaneously and allows for massively parallel and energy efficient computation .
Revised:  In this paper , we introduce a spintronic, reconfigurable in-memory accelerator for binary neural networks, NV-Net. NV-Net is capable of being used as a standard STT-MRAM array and a computational substrate simultaneously .
Edit intent: coherence
Original:  We evaluate NV-Net using multiple image classifiers and a genomics kernel for similarity matching .
Revised:  We evaluate NV-Net using multiple image classifiers and a genomics kernel .
Edit intent: clarity
Original:  Our simulation results show that NV-Net is more energy efficient than alternative CPU, GPU, and FPGA based implementations and is also capable of a higher throughput.
Revised:  Our simulation results show that NV-Net is more energy efficient than alternative CPU, GPU, and FPGA based implementations while delivering higher throughput.
Edit intent: clarity
Original: ROOT is a core HEP framework which is used broadly in and outside  HEP .
Revised: ROOT is a data analysis framework broadly used in and outside HEP .
Edit intent: clarity
Original:  As HEP software frameworks always strive for performance  , ROOT was extended with experimental support for using C++ modules during runtime .
Revised:  As HEP software frameworks always strive for performance improvements , ROOT was extended with experimental support for using C++ modules during runtime .
Edit intent: clarity
Original:  As HEP software frameworks always strive for performance  , ROOT was extended with experimental support for using C++ modules during runtime .
Revised:  As HEP software frameworks always strive for performance , ROOT was extended with experimental support for using C++ Modules .
Edit intent: clarity
Original:  C++ modules are designed in part to improve the performance of parsing C++ . As ROOT is parsingand interpreting C++ during runtime, C++ modules offer a promising way to improve ROOT's runtime performance  .
Revised:  C++ Modules are designed to improve the performance of parsing C++ . As ROOT is parsingand interpreting C++ during runtime, C++ modules offer a promising way to improve ROOT's runtime performance .
Edit intent: clarity
Original:  C++ modules are designed in part to improve the performance of parsing C++ . As ROOT is parsingand interpreting C++ during runtime, C++ modules offer a promising way to improve ROOT's runtime performance  .
Revised:  C++ modules are designed in part to improve the performance of C++ . As ROOT is parsingand interpreting C++ during runtime, C++ modules offer a promising way to improve ROOT's runtime performance .
Edit intent: fluency
Original:  C++ modules are designed in part to improve the performance of parsing C++ . As ROOT is parsingand interpreting C++ during runtime, C++ modules offer a promising way to improve ROOT's runtime performance  .
Revised:  C++ modules are designed in part to improve the performance of parsing C++ . As ROOT is parsingand interpreting C++ Modules offers a promising way to improve ROOT's runtime performance .
Edit intent: clarity
Original:  This paper presents the results and challenges of integrating C++ modules into ROOTand its early adoption to CMSSW .
Revised:  This paper presents the results and challenges of integrating C++ Modules into ROOT .
Edit intent: clarity
Original:  We also show that the ultimate bound on the maximum achievable rate of convergence via time delay is e (Euler's number) times the delay free rate.
Edit intent: coherence
Original:  The final contribution of this paper is to show the application of our results in analyzing the use of a delayed feedback to increase the rate of convergence of an agreement algorithm for networked systems .
Revised:  We demonstrate our results through a numerical example on the practical application in accelerating an agreement algorithm for networked systems .
Edit intent: clarity
Original:  The final contribution of this paper is to show the application of our results in analyzing the use of a delayed feedback to increase the rate of convergence of an agreement algorithm for networked systems .
Revised:  The final contribution of this paper is to show the application of our results in analyzing the use of a delayed feedback to increase the rate of convergence of an agreement algorithm for networked ~systems by use of a delayed feedback .
Edit intent: clarity
Original:  The proposed models optimize a variant of the widely used cumulative discounted gain (DCG) objective function which differs from DCG in two important aspects: (i) It limits the evaluation of DCG only on the top N items in the ranked lists, thereby eliminating the impact of low-ranked items on the learned ranking function;
Revised:  The proposed models optimize a variant of the widely used discounted cumulative gain (DCG) objective function which differs from DCG in two important aspects: (i) It limits the evaluation of DCG only on the top N items in the ranked lists, thereby eliminating the impact of low-ranked items on the learned ranking function;
Edit intent: fluency
Original:  We find that as N decreases the quality of point-mutation effect predictions degrade least, fitness predictions degrade moderately , and contact predictions degrade most .
Revised:  We find that as N decreases the quality of point-mutation effect predictions degrade least, fitness predictions degrade moderately , and contact predictions are most affected .
Edit intent: clarity
Original:  However, overfitting becomes negligible for MSA depths of more than a few thousand effective sequences, as often used in practice, and regularization becomes unnecessary .
Revised:  However, overfitting becomes negligible for MSA depths of more than a few thousand effective sequences, as often used in practice, and regularization becomes less necessary .
Edit intent: clarity