wanyu/IteraTeR_v2 huggingface dataset:
Original:  Uncertainties and future conditions are included in the proposed graph model through anticipatory mobile networking to estimate the transmission energy cost of the different communication modes along the time . Based on these estimates, the devices schedule their transmissions using the most efficient communication mode.
Revised:  Uncertainties and future conditions are included in the proposed graph model through anticipatory mobile networking to estimate the transmission energy cost of the different communication modes . Based on these estimates, the devices schedule their transmissions using the most efficient communication mode.
Edit intent: coherence
Original: StyleGAN is able to produce photorealistic images  almost indistinguishable from real ones.
Revised: StyleGAN is able to produce photorealistic images that are almost indistinguishable from real ones.
Edit intent: fluency
Original:  Embedding images into the StyleGAN latent space is not a trivial task due to the reconstruction quality and editing quality trade-off .
Revised:  The reverse problem of finding an embedding for a given image poses a challenge. Embeddings that reconstruct an image well are not always robust to editing operations .
Edit intent: clarity
Original: StyleGAN is able to produce photorealistic images that are almost indistinguishable from real ones .
Revised: StyleGAN is able to produce photorealistic images that are almost indistinguishable from real photos .
Edit intent: clarity
Original:  This yields that for continuous payoffs positionality is equivalent to a simple property called prefix-monotonicity.
Revised:  This yields that for continuous payoffs positionality is equivalent to a simple property called prefix-monotonicity
Edit intent: fluency
Original:  As a byproduct, this gives a negative answer to a question of Gimbert (STACS 2007), who conjectured that all deterministically positional payoffs are stochastically positional.
Revised:  As a byproduct, this refutes a conjecture of Gimbert (STACS 2007), who conjectured that all deterministically positional payoffs are stochastically positional.
Edit intent: clarity
Original:  The main reason why continuous positional payoffs are interesting is that they include  multi-discounted payoffs.
Revised:  The main reason why continuous positionally determined payoffs are interesting is that they include multi-discounted payoffs.
Edit intent: clarity
Original:  The main reason why continuous positional payoffs are interesting is that they include  multi-discounted payoffs.
Revised:  The main reason why continuous positional payoffs are interesting is that they include the multi-discounted payoffs.
Edit intent: fluency
Original:  We show that for continuous payoffs positionality is equivalent to a simple property called prefix-monotonicity .
Revised:  We show that for continuous payoffs positional determinacy is equivalent to a simple property called prefix-monotonicity .
Edit intent: clarity
Original:  We show that for continuous payoffs positionality is equivalent to a simple property called prefix-monotonicity .
Revised:  We show that for continuous payoffs positionality is equivalent to a simple property called .
Edit intent: clarity
Original:  In fact, we show that three major techniques of establishing positionality -- inductive technique, fixed point technique and strategy improvement technique -- are all sufficient to obtain this result.
Revised:  In fact, we show that three major techniques of establishing positional determinacy -- inductive technique, fixed point technique and strategy improvement technique -- are all sufficient to obtain this result.
Edit intent: clarity
Original:  In particular in the first part we generalize Khasminskii's averaging principle to the non-autonomous case, assuming the sublinearity, the Lipschitzianity and the Holder's continuity in time of the coefficients, an ergodic hypothesis and an L^2-bound of the fast component.
Revised:  In particular in the first part we prove the averaging principle assuming the sublinearity, the Lipschitzianity and the Holder's continuity in time of the coefficients, an ergodic hypothesis and an L^2-bound of the fast component.
Edit intent: clarity
Original:  We show that the performance of quantum simulation can be improved by simultaneously exploiting the commutativity of Hamiltonian, the sparsity of interactions, and the prior knowledge of  initial state.
Revised:  We show that the performance of quantum simulation can be improved by simultaneously exploiting the commutativity of Hamiltonian, the sparsity of interactions, and prior knowledge of initial state.
Edit intent: fluency
Original:  We show that the performance of quantum simulation can be improved by simultaneously exploiting the commutativity of Hamiltonian, the sparsity of interactions, and the prior knowledge of  initial state.
Revised:  We show that the performance of quantum simulation can be improved by simultaneously exploiting the commutativity of Hamiltonian, the sparsity of interactions, and the prior knowledge of the initial state.
Edit intent: fluency
Original:  We estimate the simulation error by taking the transition amplitude of nested commutators of  Hamiltonian terms within the \eta-electron manifold.
Revised:  We estimate the simulation error by taking the transition amplitude of nested commutators of the Hamiltonian terms within the \eta-electron manifold.
Edit intent: fluency
Original: We introduce and experimentally demonstrate tag-based genetic regulation, a new genetic programming (GP) technique that allows evolving programs to conditionally express code modules .
Revised: We introduce and experimentally demonstrate tag-based genetic regulation, a new genetic programming (GP) technique that allows evolving programs to dynamically adjust which code modules to express .
Edit intent: clarity
Original:  Tags are evolvable names that provide a flexible mechanism for labeling and referring to code modules.
Revised:  Tags are evolvable labels that provide a flexible mechanism for labeling and referring to code modules.
Edit intent: clarity
Original:  Tags are evolvable names that provide a flexible mechanism for labeling and referring to code modules.
Revised:  Tags are evolvable names that provide a flexible mechanism for referring to code modules.
Edit intent: clarity
Original:  This extension allows evolution to structure a program as an arbitrary gene regulatory network where genes are program modules and program instructions mediate regulation .
Revised:  This extension allows evolution to structure a program as a gene regulatory network where genes are program modules and program instructions mediate regulation .
Edit intent: clarity
Original:  This extension allows evolution to structure a program as an arbitrary gene regulatory network where genes are program modules and program instructions mediate regulation .
Revised:  This extension allows evolution to structure a program as an arbitrary gene regulatory network where program modules are regulated based on instruction executions .
Edit intent: clarity
Original:  We demonstrate the functionality of tag-based regulation on several diagnostic tasks as well as a more challenging program synthesis problem .
Revised:  We demonstrate the functionality of tag-based regulation on a range of program synthesis problems .
Edit intent: clarity
Original:  We find that tag-based regulation improves problem-solving performance on context-dependent problems  where programs must adjust responses to particular inputs over time (e.g., based on local context).
Revised:  We find that tag-based regulation improves problem-solving performance on context-dependent problems ; that is, problems where programs must adjust responses to particular inputs over time (e.g., based on local context).
Edit intent: clarity
Original:  We find that tag-based regulation improves problem-solving performance on context-dependent problems  where programs must adjust responses to particular inputs over time (e.g., based on local context).
Revised:  We find that tag-based regulation improves problem-solving performance on context-dependent problems where programs must adjust how they respond to current inputs based on prior inputs (i.e., current context).
Edit intent: clarity
Original: We introduce and experimentally demonstrate  tag-based genetic regulation, a new genetic programming (GP) technique that allows evolving programs to dynamically adjust which code modules to express.
Revised: We introduce and experimentally demonstrate the utility of tag-based genetic regulation, a new genetic programming (GP) technique that allows evolving programs to dynamically adjust which code modules to express.
Edit intent: clarity
Original: We introduce and experimentally demonstrate  tag-based genetic regulation, a new genetic programming (GP) technique that allows evolving programs to dynamically adjust which code modules to express.
Revised: We introduce and experimentally demonstrate tag-based genetic regulation, a new genetic programming (GP) technique that allows programs to dynamically adjust which code modules to express.
Edit intent: clarity
Original:  Tags are evolvable labels that provide a flexible mechanism for referring to code modules.
Revised:  Tags are evolvable labels that provide a flexible mechanism for referencing code modules.
Edit intent: fluency
Original:  This extension allows evolution to structure a program as a gene regulatory network where program modules are regulated based on instruction executions.
Revised:  This extension allows evolution to structure a program as a gene regulatory network where modules are regulated based on instruction executions.
Edit intent: fluency
Original:  We also observe that our implementation of tag-based genetic regulation can impede adaptive evolution when expected outputs are not context-dependent (i.e., the correct response to a particular input remains static over time) .
Revised:  We also observe that our implementation of tag-based genetic regulation is not universally beneficial, however. We identify scenarios where the correct response to a particular input remains static over time) .
Edit intent: clarity
Original: Existing surface registration methods focus on fitting in-sample data with little to no generalization ability and require both heavy pre-processing and careful hand-tuning.
Revised: Standard registration algorithms need to be independently applied to each surface to register, following careful pre-processing and careful hand-tuning.
Edit intent: clarity
Original: Existing surface registration methods focus on fitting in-sample data with little to no generalization ability and require both heavy pre-processing and careful hand-tuning.
Revised: Existing surface registration methods focus on fitting in-sample data with little to no generalization ability and require both heavy pre-processing and hand-tuning.
Edit intent: clarity
Original:  Finally, we show that, by learning to register scans, SMF produces a hybrid linear and non-linear morphable model that can be used for generation, shape morphing, and expression transfer through manipulation of the latent space, including in-the-wild.
Revised:  Finally, we show that, by learning to register scans, SMF produces a hybrid linear and non-linear morphable model . Manipulation of the latent space of SMF allows for shape generation, and morphing applications such as expression transfer in-the-wild.
Edit intent: clarity
Original:  Our analysis used original data on nearly all recognized prizes associated with 11, 539 scientific topics awarded between 1960 and 2017 to examine the link between prizes and a topic's unexpected growth in productivity, impact, and talent.
Revised:  Our analysis used original data on nearly all recognized prizes worldwide and over 11, 539 scientific topics awarded between 1960 and 2017 to examine the link between prizes and a topic's unexpected growth in productivity, impact, and talent.
Edit intent: clarity
Original:  At between five to 10 years after the prize year, prizewinning topics are 38\% more productive and 31\% more impactful in citations, retain 53\% more incumbents , and gain 35\% more new entrants and 46\% more star scientiststhan their non-prizewinning peer topics.
Revised:  At between five to 10 years after the prize year, prizewinning topics are 38\% more productive and 31\% more impactful in citations, retain 55\% more scientists , and gain 35\% more new entrants and 46\% more star scientiststhan their non-prizewinning peer topics.
Edit intent: clarity
Original:  rather ,  growth is positively associated with the recency of work on the topic, discipline-specific rather than general awards, and prize money.
Revised:  rather , growth is positively related to the degree to which the prize is discipline-specific rather than general awards, and prize money.
Edit intent: clarity
Original:  We show through  simulations that our approach enables decentralized and communication-free navigation by a multi-robot system to a goal position, avoiding obstacles and collisions, while also maintaining connectivity .
Revised:  We show through extensive simulations that our approach enables decentralized and communication-free navigation by a multi-robot system to a goal position, avoiding obstacles and collisions, while also maintaining connectivity .
Edit intent: clarity
Original:  The overt nature of this manipulation points to the need for societal-level rather than in-house mitigation strategies .
Revised:  The overt nature of this manipulation points to the need for societal-level solutions in addition to mitigation strategies within the platforms .
Edit intent: clarity
Original: Recent research on speech enhancement (SE) has seen the emergence of deep learning-based methods.
Revised: Recent research on speech enhancement (SE) has seen the emergence of deep-learning-based methods.
Edit intent: fluency
Original:  It is still a challenging task to determine  effective ways to increase the generalizability of SE under diverse test conditions.
Revised:  It is still a challenging task to determine the effective ways to increase the generalizability of SE under diverse test conditions.
Edit intent: fluency
Original:  In this paper , we combine zero-shot learning and ensemble learning to propose a zero-shot model selection (ZMOS) approach to increase the generalization of SE performance.
Revised:  In this study , we combine zero-shot learning and ensemble learning to propose a zero-shot model selection (ZMOS) approach to increase the generalization of SE performance.
Edit intent: clarity
Original:  The proposed approach is realized in two phases, namely offline and online phases.
Revised:  The proposed approach is realized in the offline and online phases.
Edit intent: clarity
Original:  The offline phase clusters the entire set of training data into multiple subsets , and trains a specialized SE model (termed component SE model) with each subset.
Revised:  The offline phase clusters the entire set of training data into multiple subsets and trains a specialized SE model (termed component SE model) with each subset.
Edit intent: fluency
Original:  Two selection strategies are developed: selection based on  quality score (QS) and selection based on  quality embedding (QE).
Revised:  Two selection strategies are developed: selection based on the quality score (QS) and selection based on quality embedding (QE).
Edit intent: fluency
Original:  Two selection strategies are developed: selection based on  quality score (QS) and selection based on  quality embedding (QE).
Revised:  Two selection strategies are developed: selection based on quality score (QS) and selection based on the quality embedding (QE).
Edit intent: fluency
Original:  Both QS and QE are obtained by a Quality-Net, a non-intrusive quality assessment network.
Revised:  Both QS and QE were obtained using a Quality-Net, a non-intrusive quality assessment network.
Edit intent: clarity
Original:  Experimental results have confirmed that the proposed ZMOS approach can achieve better performance in both seen and unseen noise types compared to the baseline systems  , which indicates the effectiveness of the proposed approach to provide robust SE performance.
Revised:  Experimental results have confirmed that the proposed ZMOS approach can achieve better performance in both seen and unseen noise types compared to the baseline systems , which indicates the effectiveness of the proposed approach in providing robust SE performance.
Edit intent: fluency
Original: Evolutionary multitasking is a promising approach to simultaneously solving multiple tasks with knowledge sharing  .
Revised: Using evolutionary computation algorithms to solve multiple tasks with knowledge sharing .
Edit intent: clarity
Original: Evolutionary multitasking is a promising approach to simultaneously solving multiple tasks with knowledge sharing  .
Revised: Evolutionary multitasking is a promising approach to simultaneously solving multiple tasks with knowledge sharing is a promising approach .
Edit intent: clarity
Original:  Image feature learning can be solved as a multitasking problem because different tasks may have a similar feature space.
Revised:  Image feature learning can be considered as a multitask problem because different tasks may have a similar feature space.
Edit intent: clarity
Original:  No multitasking GP method has been developed for image feature learning.
Revised:  No multitask GP method has been developed for image feature learning.
Edit intent: fluency
Original:  Therefore, this paper develops a multitasking GP approach to image feature learning for classification with limited training data.
Revised:  Therefore, this paper develops a multitask GP approach to image feature learning for classification with limited training data.
Edit intent: fluency
Original:  The performance of the proposed approach is examined on six multitasking problems of 12 image classification datasets with limited training data and compared with three GP and 14 non-GP-based competitive methods.
Revised:  The performance of the proposed approach is examined on six multitask problems of 12 image classification datasets with limited training data and compared with three GP and 14 non-GP-based competitive methods.
Edit intent: fluency
Original:  In this paper, we propose a low-complexity SRP approach based on Nyquist-Shannon sampling theory .
Revised:  In this paper, we propose a low-complexity SRP approach based on Nyquist-Shannon sampling .
Edit intent: clarity
Original:  Noting that on the one hand the range of possible TDOAs is physically bounded, while on the other hand the GCCs are bandlimited, we critically sample the GCCs around their TDOA intervals and interpolate, thereby approximating the SRP map  .
Revised:  Noting that on the one hand the range of possible TDOAs is physically bounded, while on the other hand the GCCs are bandlimited, we critically sample the GCCs around their TDOA interval and approximate the SRP map .
Edit intent: coherence
Original:  Noting that on the one hand the range of possible TDOAs is physically bounded, while on the other hand the GCCs are bandlimited, we critically sample the GCCs around their TDOA intervals and interpolate, thereby approximating the SRP map  .
Revised:  Noting that on the one hand the range of possible TDOAs is physically bounded, while on the other hand the GCCs are bandlimited, we critically sample the GCCs around their TDOA intervals and interpolate, thereby approximating the SRP map by interpolation .
Edit intent: clarity
Original:  Simulations comparing the proposed approximation and conventional SRP indicate low approximation errors and equal localization performance.
Revised:  Simulations comparing the proposed approximation with conventional SRP indicate low approximation errors and equal localization performance.
Edit intent: fluency
Original:  Due to the dense grid of candidate locations, however , conventional SRP exhibits a high computational complexity , limiting its practical feasibility .
Revised:  Due to the dense grid of candidate locations, however , conventional SRP exhibits a high computational complexity .
Edit intent: clarity
Original:  In usual setups, the total number of sample points can be several orders of magnitude less than the number of candidate locations  , yielding a significant complexity reduction . Simulations comparing the proposed approximation with conventional SRP indicate low approximation errors and equal localization performance.
Revised:  In usual setups, the number of sample points can be several orders of magnitude less than the number of candidate locations , yielding a significant complexity reduction . Simulations comparing the proposed approximation with conventional SRP indicate low approximation errors and equal localization performance.
Edit intent: clarity
Original:  In usual setups, the total number of sample points can be several orders of magnitude less than the number of candidate locations  , yielding a significant complexity reduction . Simulations comparing the proposed approximation with conventional SRP indicate low approximation errors and equal localization performance.
Revised:  In usual setups, the total number of sample points can be orders of magnitude less than the number of candidate locations , yielding a significant complexity reduction . Simulations comparing the proposed approximation with conventional SRP indicate low approximation errors and equal localization performance.
Edit intent: clarity
Original: Static code analysis tools and integrated development environments present developers with quality-related software metrics, some of which are on how understandable their source codeis .
Revised: Static code analysis tools and integrated development environments present developers with quality-related software metrics, some of which describe the understandability of source code .
Edit intent: clarity
Original:  We conduct a randomized and double-blind experiment to investigate the extent to which a displayed metric value for source code comprehensibility anchors developers in their subjective rating of source code comprehensibility, whether performance is affected by the anchoring effect when working on comprehension tasks, and which individual characteristics might play a role in the anchoring effect.
Revised:  We conducted a randomized and double-blind experiment to investigate the extent to which a displayed metric value for source code comprehensibility anchors developers in their subjective rating of source code comprehensibility, whether performance is affected by the anchoring effect when working on comprehension tasks, and which individual characteristics might play a role in the anchoring effect.
Edit intent: fluency
Original:  The effect does not seem to affect the time or correctness when working on comprehension questions related to the code snippet under study.
Revised:  The effect does not seem to affect the time or correctness when working on comprehension questions related to the code snippets under study.
Edit intent: fluency
Original:  In fact, one may not even see convergence proportional to the polynomial order p > 1 when the exact solution is a constant function.
Revised:  In fact, one may not even see rates proportional to the polynomial order p > 1 when the exact solution is a constant function.
Edit intent: clarity
Original:  Numerical experiments reinforce our conclusions.
Revised:  Numerical experiments support our conclusions.
Edit intent: clarity
Original: In this paper an algorithm for the forward interval propagation on the amplitude of the discrete Fourier transform (DFT) is presented .
Revised: We present an algorithm for the forward interval propagation on the amplitude of the discrete Fourier transform (DFT) is presented .
Edit intent: clarity
Original: In this paper an algorithm for the forward interval propagation on the amplitude of the discrete Fourier transform (DFT) is presented .
Revised: In this paper an algorithm for the forward propagation of intervals through the discrete Fourier transform (DFT) is presented .
Edit intent: clarity