wanyu/IteraTeR_v2 huggingface dataset:
Original: We propose a powerful Reinforced Hybrid Genetic Algorithm (RHGA) for  the famous NP-hard Traveling Salesman Problem (TSP). RHGA combines reinforcement learning technique with the well-known Edge Assembly Crossover genetic algorithm (EAX-GA) and the Lin-Kernighan-Helsgaun (LKH) local search heuristic.
Revised: We propose a powerful Reinforced Hybrid Genetic Algorithm (RHGA) for solving the famous NP-hard Traveling Salesman Problem (TSP). RHGA combines reinforcement learning technique with the well-known Edge Assembly Crossover genetic algorithm (EAX-GA) and the Lin-Kernighan-Helsgaun (LKH) local search heuristic.
Edit intent: clarity
Original: We propose a powerful Reinforced Hybrid Genetic Algorithm (RHGA) for  the famous NP-hard Traveling Salesman Problem (TSP). RHGA combines reinforcement learning technique with the well-known Edge Assembly Crossover genetic algorithm (EAX-GA) and the Lin-Kernighan-Helsgaun (LKH) local search heuristic.
Revised: We propose a powerful Reinforced Hybrid Genetic Algorithm (RHGA) for the famous NP-hard Traveling Salesman Problem (TSP). Specifically, we combine a reinforcement learning technique with the well-known Edge Assembly Crossover genetic algorithm (EAX-GA) and the Lin-Kernighan-Helsgaun (LKH) local search heuristic.
Edit intent: coherence
Original:  Experimental results on 138 well-known and widely used TSP benchmarks , with the number of cities ranging from 1,000 to 85,900 , demonstrate the excellent performance of the proposed method .
Revised:  Experimental results on 138 well-known and widely used TSP benchmarks with the number of cities ranging from 1,000 to 85,900 , demonstrate the excellent performance of the proposed method .
Edit intent: fluency
Original:  Experimental results on 138 well-known and widely used TSP benchmarks , with the number of cities ranging from 1,000 to 85,900 , demonstrate the excellent performance of the proposed method .
Revised:  Experimental results on 138 well-known and widely used TSP benchmarks , with the number of cities ranging from 1,000 to 85,900 demonstrate the excellent performance of the proposed method .
Edit intent: fluency
Original:  For this reason, in the last few years, a large research effort has been devoted to image captioning, i.e. the task of describing images with syntactically and semantically meaningful sentences.
Revised:  For this reason, large research efforts have been devoted to image captioning, i.e. the task of describing images with syntactically and semantically meaningful sentences.
Edit intent: clarity
Original:  For this reason, in the last few years, a large research effort has been devoted to image captioning, i.e. the task of describing images with syntactically and semantically meaningful sentences.
Revised:  For this reason, in the last few years, a large research effort has been devoted to image captioning, i.e. describing images with syntactically and semantically meaningful sentences.
Edit intent: clarity
Original:  Starting from 2015 the task has generally been addressed with pipelines composed of a visual encoding step and a language model for text generation.
Revised:  Starting from 2015 the task has generally been addressed with pipelines composed of a visual encoder and a language model for text generation.
Edit intent: clarity
Original:  During these years, both components have evolved considerably through the exploitation of object regions, attributes, and relationships and the introduction of multi-modal connections, fully-attentive approaches, and BERT-like early-fusion strategies.
Revised:  During these years, both components have evolved considerably through the exploitation of object regions, attributes, the introduction of multi-modal connections, fully-attentive approaches, and BERT-like early-fusion strategies.
Edit intent: clarity
Original:  However, regardless of the impressive results obtained , research in image captioning has not reached a conclusive answer yet.
Revised:  However, regardless of the impressive results , research in image captioning has not reached a conclusive answer yet.
Edit intent: clarity
Original:  This work aims at providing a comprehensive overview and categorization of image captioning approaches, from visual encoding and text generation to training strategies, used datasets, and evaluation metrics.
Revised:  This work aims at providing a comprehensive overview of image captioning approaches, from visual encoding and text generation to training strategies, used datasets, and evaluation metrics.
Edit intent: clarity
Original:  This work aims at providing a comprehensive overview and categorization of image captioning approaches, from visual encoding and text generation to training strategies, used datasets, and evaluation metrics.
Revised:  This work aims at providing a comprehensive overview and categorization of image captioning approaches, from visual encoding and text generation to training strategies, datasets, and evaluation metrics.
Edit intent: clarity
Original:  In this respect, we quantitatively compare many relevant state-of-the-art approaches to identify the most impactful technical innovations in image captioning architectures and training strategies.
Revised:  In this respect, we quantitatively compare many relevant state-of-the-art approaches to identify the most impactful technical innovations in architectures and training strategies.
Edit intent: clarity
Original:  Moreover, many variants of the problem and its open challenges are analyzed and discussed.
Revised:  Moreover, many variants of the problem and its open challenges are discussed.
Edit intent: clarity
Original:  The final goal of this work is to serve as a tool for understanding the existing state-of-the-art and highlighting the future directions for an area of research where Computer Vision and Natural Language Processing can find an optimal synergy.
Revised:  The final goal of this work is to serve as a tool for understanding the existing literature and highlighting the future directions for an area of research where Computer Vision and Natural Language Processing can find an optimal synergy.
Edit intent: clarity
Original:  The final goal of this work is to serve as a tool for understanding the existing state-of-the-art and highlighting the future directions for an area of research where Computer Vision and Natural Language Processing can find an optimal synergy.
Revised:  The final goal of this work is to serve as a tool for understanding the existing state-of-the-art and highlighting the future directions for a research area where Computer Vision and Natural Language Processing can find an optimal synergy.
Edit intent: fluency
Original: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Revised: In this paper we analyze, for a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Edit intent: clarity
Original: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Revised: For a model of linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Edit intent: clarity
Original: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Revised: For a model of high-dimensional linear regression with gaussian covariates, the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Edit intent: clarity
Original: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Revised: For a model of high-dimensional linear regression with random design, we analyze the performance of a Bayesian estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Edit intent: clarity
Original: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave Bayesian posterior distribution with gaussian prior .
Revised: For a model of high-dimensional linear regression with random design, we analyze the performance of an estimator given by the mean of a log-concave posterior distribution with gaussian prior .
Edit intent: clarity
Original:  The model is mismatched in the following sense: like the model assumed by the statistician, the labels-generating process is linear in the input data, but both the classifier ground-truth prior and gaussian noise variance are unknownto her.
Revised:  The model is mismatched in the following sense: like the model assumed by the statistician, the labels-generating process is linear in the distributions of the ground-truth prior and gaussian noise variance are unknownto her.
Edit intent: clarity
Original:  Similar models have already been studied by Shcherbina and Tirozzi and by Talagrand, but our arguments are more straightforward and some assumptions are relaxed .
Revised:  Similar models have been studied by Shcherbina and Tirozzi and by Talagrand, but our arguments are more straightforward and some assumptions are relaxed .
Edit intent: coherence
Original:  Similar models have already been studied by Shcherbina and Tirozzi and by Talagrand, but our arguments are more straightforward and some assumptions are relaxed .
Revised:  Similar models have already been studied by Shcherbina and Tirozzi and by Talagrand, but our arguments are much more straightforward .
Edit intent: clarity
Original:  An interesting consequence of our analysis is that in the random design setting of ridge regression , the performance of the posterior mean is independent of the noise variance (or "temperature" ) assumed by the statistician, and matches the one of the usual (zero temperature) ridge estimator .
Revised:  An interesting consequence of our analysis is that in the random design setting of ridge regression , the performance of the posterior mean is independent of a global "temperature" ) assumed by the statistician, and matches the one of the usual (zero temperature) ridge estimator .
Edit intent: clarity
Original:  An interesting consequence of our analysis is that in the random design setting of ridge regression , the performance of the posterior mean is independent of the noise variance (or "temperature" ) assumed by the statistician, and matches the one of the usual (zero temperature) ridge estimator .
Revised:  An interesting consequence of our analysis is that in the random design setting of ridge regression , the performance of the posterior mean is independent of the noise variance (or "temperature" hyperparameter and matches the one of the usual (zero temperature) ridge estimator .
Edit intent: clarity
Original: One of the main concerns about fairness in machine learning (ML) is that, in order to achieve it, one may have to renounce to some accuracy.
Revised: One of the main concerns about fairness in machine learning (ML) is that, in order to achieve it, one may have to trade off some accuracy.
Edit intent: clarity
Original:  Having this trade-off in mind , Hardt et al. have proposed the notion of equal opportunities (EO), designed so as to be compatible with accuracy.
Revised:  To overcome this issue , Hardt et al. have proposed the notion of equal opportunities (EO), designed so as to be compatible with accuracy.
Edit intent: clarity
Original:  Having this trade-off in mind , Hardt et al. have proposed the notion of equal opportunities (EO), designed so as to be compatible with accuracy.
Revised:  Having this trade-off in mind , Hardt et al. proposed the notion of equal opportunities (EO), designed so as to be compatible with accuracy.
Edit intent: coherence
Original:  Having this trade-off in mind , Hardt et al. have proposed the notion of equal opportunities (EO), designed so as to be compatible with accuracy.
Revised:  Having this trade-off in mind , Hardt et al. have proposed the notion of equality of opportunity (EO), designed so as to be compatible with accuracy.
Edit intent: clarity
Original:  As we show , there are probabilistic data sources for which EO can only be achieved at the total detriment of accuracy,  i.e. among the models that achieve EO , those whose prediction does not depend on the input have the highest accuracy .
Revised:  As we show , there are data sources for which EO can only be achieved at the total detriment of accuracy, i.e. among the models that achieve EO , those whose prediction does not depend on the input have the highest accuracy .
Edit intent: clarity
Original:  With suitable relaxations or approximations of the nonconvex power flow equations, all three problems can be reduced to a multi-agent constrained convex optimization problem.
Revised:  With suitable relaxations or approximations of the power flow equations, all three problems can be reduced to a multi-agent constrained convex optimization problem.
Edit intent: clarity
Original:  We study the design of \textit{multi-member districts (MMDs) , in which each district elects multiple representatives, potentially through a non-winner-takes-all voting rule.
Revised:  We study the design of \textit{multi-member districts (MMDs) , in which each district elects multiple representatives, potentially through a non-winner-takes-all voting rule.
Edit intent: fluency
Original:  We find that with three-member districts using Single Transferable Vote, fairness-minded independent commissions would be able to achieve proportional outcomes in every state up to rounding, and advantage-seeking partisans would have their power to gerrymander significantly curtailed.
Revised:  We find that with three-member districts using Single Transferable Vote, fairness-minded independent commissions would be able to achieve proportional outcomes in every state up to rounding, and advantage-seeking partisans would have their power to gerrymander significantly curtailed.
Edit intent: fluency
Original:  When the function is monotone , we propose  almost 1{2}-approximation algorithms for unconstrained maximization and maximization under total size and knapsack constraints.
Revised:  When the variables are unconstrained , we propose almost 1{2}-approximation algorithms for unconstrained maximization and maximization under total size and knapsack constraints.
Edit intent: clarity
Original:  When the function is monotone , we propose  almost 1{2}-approximation algorithms for unconstrained maximization and maximization under total size and knapsack constraints.
Revised:  When the function is monotone , we propose simple algorithms that achieve almost 1{2}-approximation algorithms for unconstrained maximization and maximization under total size and knapsack constraints.
Edit intent: clarity
Original:  In FreqTimeNet, the input signals are processed by parallel frequency blocks first and then go through parallel time blocks . Using 3rd Generation Partnership Project (3GPP) channel models, the mean square error (MSE) performance of FreqTimeNet  under different scenarios is evaluated.
Revised:  In FreqTimeNet, the input is processed by parallel frequency blocks first and then go through parallel time blocks . Using 3rd Generation Partnership Project (3GPP) channel models, the mean square error (MSE) performance of FreqTimeNet under different scenarios is evaluated.
Edit intent: clarity
Original:  In FreqTimeNet, the input signals are processed by parallel frequency blocks first and then go through parallel time blocks . Using 3rd Generation Partnership Project (3GPP) channel models, the mean square error (MSE) performance of FreqTimeNet  under different scenarios is evaluated.
Revised:  In FreqTimeNet, the input signals are processed by parallel frequency blocks and parallel time blocks . Using 3rd Generation Partnership Project (3GPP) channel models, the mean square error (MSE) performance of FreqTimeNet under different scenarios is evaluated.
Edit intent: coherence
Original:  Introducing the attention mechanism to use the SNR information, an attention based FreqTimeNet (AttenFreqTimeNet) is proposed.
Revised:  Introducing the attention mechanism using the SNR information, an attention based FreqTimeNet (AttenFreqTimeNet) is proposed.
Edit intent: coherence
Original:  It is observed that AttenFreqTimeNet outperforms FreqTimeNet, and FreqTimeNet outperforms other DL networks , with acceptable complexity.
Revised:  It is observed that AttenFreqTimeNet outperforms FreqTimeNet, and FreqTimeNet outperforms other DL networks with reasonable complexity.
Edit intent: clarity
Original:  This not only leads to high communication pressure at the central client , but also renders the central client highly vulnerable to failure and attack .
Revised:  This not only leads to high communication pressure at the central client .
Edit intent: clarity
Original:  Here we propose a principled decentralized federated learning algorithm ( DeFed ), which removes the central client in the classical Federated Averaging (FedAvg) setting and only relies information transmission between clients and their local neighbors.
Revised:  Here we propose a principled decentralized federated learning algorithm ( DeFed ), which does not require a central client and relies only on local information transmission between clients and their local neighbors.
Edit intent: clarity
Original:  The proposed DeFed algorithm is proven to reach the global minimum with a convergence rate of O(1/T) when the loss function is smooth and strongly convex, where T is the number of iterations in gradient descent  .
Revised:  The proposed DeFed algorithm is proven to reach the global minimum with a convergence rate of O(1/T) ( where T is the number of iterations in gradient descent .
Edit intent: coherence
Original: Exploration in reinforcement learning is a challenging problem: in the worst case, the agent must search for reward states that could be hidden anywhere in the state space.
Revised: Exploration in reinforcement learning is a challenging problem: in the worst case, the agent must search for high-reward states that could be hidden anywhere in the state space.
Edit intent: clarity
Original:  If trained properly, such a classifier can not only afford a reward function, but actually provide a well-shaped objective landscape that both promotes progress toward good states and provides a calibrated exploration bonus.
Revised:  If trained properly, such a classifier can provide a well-shaped objective landscape that both promotes progress toward good states and provides a calibrated exploration bonus.
Edit intent: coherence
Original:  In this work, we we show that an uncertainty aware classifier can solve challenging reinforcement learning problems by both encouraging exploration and provided directed guidance towards positive outcomes.
Revised:  In this work, we show that an uncertainty aware classifier can solve challenging reinforcement learning problems by both encouraging exploration and provided directed guidance towards positive outcomes.
Edit intent: fluency
Original:  However, few works manage to combine these two interesting capabilities for the synthesis of video content: Most methods require an extensive training dataset in order to learn temporal correlations, while being rather limited in the resolution and visual quality of their output frames.
Revised:  However, few works manage to combine these two interesting capabilities for the synthesis of video content: Most methods require an extensive training dataset to learn temporal correlations, while being rather limited in the resolution and visual quality of their output frames.
Edit intent: coherence
Original:  In this paper, we present a novel approach to the video synthesis problem that helps to greatly improve visual quality and drastically reduce the amount of training data and resources necessary for generating video content .
Revised:  In this paper, we present a novel approach to the video synthesis problem that helps to greatly improve visual quality and drastically reduce the amount of training data and resources necessary for generating videos .
Edit intent: clarity
Original:  For the spatial domain we make use of a pre-trained StyleGAN network, the latent space of which allows control over the appearance of the objects it was trained for.
Revised:  For the spatial domain we use a pre-trained StyleGAN network, the latent space of which allows control over the appearance of the objects it was trained for.
Edit intent: coherence
Original: We analyze whether  multidimensional parity check (MDPC) code and an auxiliary channel can improve the throughput and extend the THz transmission distance.
Revised: We analyze whether a multidimensional parity check (MDPC) code and an auxiliary channel can improve the throughput and extend the THz transmission distance.
Edit intent: fluency
Original:  While channel quality is addressed by various coding approaches, and an effective THz transmission system configuration is enabled by other approaches with additional channels, their combination is new with the potential for significant improvements in quality of the data transmission.
Revised:  While channel quality is addressed by various coding approaches, and an effective THz system configuration is enabled by other approaches with additional channels, their combination is new with the potential for significant improvements in quality of the data transmission.
Edit intent: clarity
Original:  Our specific solution is designed to correct data bits at the physical layer by  a low complexity erasure code (MDPC  ), whereby original data and parity data are simultaneously transferred over two  parallel THz channels, including one main channel and one additional channel.
Revised:  Our specific solution is designed to correct data bits at the physical layer by using a low complexity erasure code (MDPC ), whereby original data and parity data are simultaneously transferred over two parallel THz channels, including one main channel and one additional channel.
Edit intent: clarity
Original:  Our specific solution is designed to correct data bits at the physical layer by  a low complexity erasure code (MDPC  ), whereby original data and parity data are simultaneously transferred over two  parallel THz channels, including one main channel and one additional channel.
Revised:  Our specific solution is designed to correct data bits at the physical layer by a low complexity erasure code (MDPC ), whereby original and parity data are simultaneously transferred over two parallel THz channels, including one main channel and one additional channel.
Edit intent: fluency
Original:  Our specific solution is designed to correct data bits at the physical layer by  a low complexity erasure code (MDPC  ), whereby original data and parity data are simultaneously transferred over two  parallel THz channels, including one main channel and one additional channel.
Revised:  Our specific solution is designed to correct data bits at the physical layer by a low complexity erasure code (MDPC ), whereby original data and parity data are transferred over two parallel THz channels, including one main channel and one additional channel.
Edit intent: clarity
Original:  We  constructed our protocol against a molecular region in the N-terminal domain of SARS-CoV-2 Spike protein, already experimentally identified in interaction with antibodies in humans.
Revised:  We thus constructed our protocol against a molecular region in the N-terminal domain of SARS-CoV-2 Spike protein, already experimentally identified in interaction with antibodies in humans.
Edit intent: coherence