wanyu/IteraTeR_v2 huggingface dataset:
Original:  Our solution utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution and does not rely on end hosts for traffic redirection.
Revised:  INCAB utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution and does not rely on end hosts for traffic redirection.
Edit intent: clarity
Original:  Our solution utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution and does not rely on end hosts for traffic redirection.
Revised:  Our solution utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution . Furthermore, it does not rely on end hosts for traffic redirection.
Edit intent: coherence
Original:  On the other hand, evolutionary algorithms offer the greediness and sample efficiency needed for such an application, as each sample requires a considerable amount of resources .
Revised:  On the other hand, evolutionary algorithms offer the sample efficiency needed for such an application, as each sample requires a considerable amount of resources .
Edit intent: clarity
Original:  On the other hand, evolutionary algorithms offer the greediness and sample efficiency needed for such an application, as each sample requires a considerable amount of resources .
Revised:  On the other hand, evolutionary algorithms offer the greediness and sample efficiency needed for such a resource intensive application .
Edit intent: clarity
Original:  We propose a class of Evolutionary-Neural hybrid agents (Evo-NAS), that retain the best qualities of the two approaches.
Revised:  We propose a class of Evolutionary-Neural hybrid agents (Evo-NAS), that retain the qualities of the two approaches.
Edit intent: clarity
Original:  We show that the Evo-NAS agent can outperform both Neural and Evolutionary agents , both on a synthetic task, and on architecture search for a suite of text classification datasets .
Revised:  We show that the Evo-NAS agent outperforms both Neural and Evolutionary agents , both on a synthetic task, and on architecture search for a suite of text classification datasets .
Edit intent: clarity
Original:  We show that the Evo-NAS agent can outperform both Neural and Evolutionary agents , both on a synthetic task, and on architecture search for a suite of text classification datasets .
Revised:  We show that the Evo-NAS agent can outperform both Neural and Evolutionary agents when applied to architecture search for a suite of text classification datasets .
Edit intent: clarity
Original:  The use of Neural Network agents trained with Reinforcement Learning can offer the possibility to learn complex architectural patterns, as well as the ability to explore a vast and compositional search space.
Revised:  Deep Reinforcement Learning agents can learn complex architectural patterns, as well as the ability to explore a vast and compositional search space.
Edit intent: clarity
Original:  The use of Neural Network agents trained with Reinforcement Learning can offer the possibility to learn complex architectural patterns, as well as the ability to explore a vast and compositional search space.
Revised:  The use of Neural Network agents trained with Reinforcement Learning can offer the possibility to learn complex architectural patterns, as well as explore a vast and compositional search space.
Edit intent: clarity
Original:  We show that the Evo-NAS agent outperforms both Neural and Evolutionary agents when applied to architecture search for a suite of text classification and image classification benchmarks.
Revised:  We show that the Evo-NAS agent outperforms both Neural and Evolutionary agents when applied to architecture search for a suite of text and image classification benchmarks.
Edit intent: fluency
Original:  On a high-complexity architecture search space for image classification, the Evo-NAS agent surpasses the performance of commonly used agents with only 1/3 of the trials .
Revised:  On a high-complexity architecture search space for image classification, the Evo-NAS agent surpasses the accuracy achieved by commonly used agents with only 1/3 of the trials .
Edit intent: clarity
Original:  On a high-complexity architecture search space for image classification, the Evo-NAS agent surpasses the performance of commonly used agents with only 1/3 of the trials .
Revised:  On a high-complexity architecture search space for image classification, the Evo-NAS agent surpasses the performance of commonly used agents with only 1/3 of the search cost .
Edit intent: clarity
Original: Neural Architecture Search has recently shown potential to automate the design of Neural Networks .
Revised: Neural Architecture Search has shown potential to automate the design of Neural Networks .
Edit intent: clarity
Original: Neural Architecture Search has recently shown potential to automate the design of Neural Networks .
Revised: Neural Architecture Search has recently shown potential to automate the design of neural networks .
Edit intent: fluency
Original:  Deep Reinforcement Learning  agents can learn complex architectural patterns, as well as explore a vast and compositional search space.
Revised:  Deep Reinforcement Learning based agents can learn complex architectural patterns, as well as explore a vast and compositional search space.
Edit intent: clarity
Original:  On the other hand, evolutionary algorithms offer the sample efficiencyneeded for such a resource intensive application.
Revised:  On the other hand, evolutionary algorithms offer higher sample efficiency, which is critical for such a resource intensive application.
Edit intent: clarity
Original:  We propose a class of Evolutionary-Neural hybrid agents (Evo-NAS) , that retain the qualities of the two approaches .
Revised:  In order to capture the best of both worlds, we propose a class of Evolutionary-Neural hybrid agents (Evo-NAS) , that retain the qualities of the two approaches .
Edit intent: coherence
Original:  We propose a class of Evolutionary-Neural hybrid agents (Evo-NAS) , that retain the qualities of the two approaches .
Revised:  We propose a class of Evolutionary-Neural hybrid agents (Evo-NAS) .
Edit intent: clarity
Original:  We show that the Evo-NAS agent outperforms both Neural and Evolutionary agents when applied to architecture search for a suite of text and image classification benchmarks.
Revised:  We show that the Evo-NAS agent outperforms both neural and evolutionary agents when applied to architecture search for a suite of text and image classification benchmarks.
Edit intent: fluency
Original:  However, in some applications, the objects that correspond to unit disks  have predefined (geometrical) structures to be placed on.
Revised:  In some applications, the objects that correspond to unit disks have predefined (geometrical) structures to be placed on.
Edit intent: coherence
Original:  However, in some applications, the objects that correspond to unit disks  have predefined (geometrical) structures to be placed on.
Revised:  However, in some applications, the objects that correspond to unit disks , have predefined (geometrical) structures to be placed on.
Edit intent: fluency
Original:  We show that deciding whether there exists an embedding of unit disk graphs  is NP-hard, even if the given straight lines are parallel to either x-axis or y-axis.
Revised:  We show that deciding whether there exists a realization of a given graph as unit disk graphs is NP-hard, even if the given straight lines are parallel to either x-axis or y-axis.
Edit intent: clarity
Original:  We show that deciding whether there exists an embedding of unit disk graphs  is NP-hard, even if the given straight lines are parallel to either x-axis or y-axis.
Revised:  We show that deciding whether there exists an embedding of unit disk graphs on straight lines is NP-hard, even if the given straight lines are parallel to either x-axis or y-axis.
Edit intent: clarity
Original:  We show that deciding whether there exists an embedding of unit disk graphs  is NP-hard, even if the given straight lines are parallel to either x-axis or y-axis.
Revised:  We show that deciding whether there exists an embedding of unit disk graphs is NP-hard, even if the given lines are parallel to either x-axis or y-axis.
Edit intent: clarity
Original: Unit disk graphs are the intersection graphs of unit diameter disks in the Euclidean plane.
Revised: Unit disk graphs are the intersection graphs of unit radius disks in the Euclidean plane.
Edit intent: clarity
Original:  In general, this problem is shown to be \existsR-complete.
Revised:  In general, this problem is known to be \existsR-complete.
Edit intent: clarity
Original:  Hence, many scientists attacked this problem by restricting the domain for the centers of the disks .
Revised:  Hence, many researchers attacked this problem by restricting the domain for the centers of the disks .
Edit intent: clarity
Original:  Hence, many scientists attacked this problem by restricting the domain for the centers of the disks .
Revised:  Hence, many scientists attacked this problem by restricting the domain of the disk centers .
Edit intent: clarity
Original:  One example to such applications is wireless sensor networks, where each disk corresponds to a wireless sensor node, and a pair of intersecting disks correspond to a pair of sensors being able to communicate with each other .
Revised:  One example to such applications is wireless sensor networks, where each disk corresponds to a wireless sensor node, and a pair of intersecting disks corresponds to a pair of sensors being able to communicate with each other .
Edit intent: fluency
Original:  One example to such applications is wireless sensor networks, where each disk corresponds to a wireless sensor node, and a pair of intersecting disks correspond to a pair of sensors being able to communicate with each other .
Revised:  One example to such applications is wireless sensor networks, where each disk corresponds to a wireless sensor node, and a pair of intersecting disks correspond to a pair of sensors being able to communicate with one another .
Edit intent: fluency
Original:  It is usually assumed that the nodes have identical sensing ranges, and thus  unit disk graph model is used to model problems concerning wireless sensor networks.
Revised:  It is usually assumed that the nodes have identical sensing ranges, and thus a unit disk graph model is used to model problems concerning wireless sensor networks.
Edit intent: fluency
Original:  In this paper, we also attack the unit disk recognition problem on a restricted domain, by assuming a scenario where the wireless sensor nodes are deployed on the corridors of a building.
Revised:  We consider the unit disk recognition problem on a restricted domain, by assuming a scenario where the wireless sensor nodes are deployed on the corridors of a building.
Edit intent: clarity
Original:  We show that deciding whether there exists a realization of a given graph as unit disk graphs on straight lines is NP-hard, even if the given lines are parallel to either x-axis or y-axis.
Revised:  We show that deciding whether a graph can be realized as unit disks onto given straight lines is NP-hard, even if the given lines are parallel to either x-axis or y-axis.
Edit intent: clarity
Original:  Our approach is based on constructing convex combinations and our key tool is the top-down coloring framework for tree augmentation, recently introduced by Iglesias and Ravi, whose flexibility we employ to exploit beneficial properties in both the initial spanning tree and in the input graph.
Revised:  Our approach is based on constructing convex combinations and our key tool is the top-down coloring framework for tree augmentation, whose flexibility we employ to exploit beneficial properties in both the initial spanning tree and in the input graph.
Edit intent: coherence
Original:  A key ingredient here is to use a particular convex combination spanning trees guaranteed by a rainbow spanning tree decomposition, recently used by Boyd and Sebo.
Revised:  Another key ingredient is to use a particular convex combination spanning trees guaranteed by a rainbow spanning tree decomposition, recently used by Boyd and Sebo.
Edit intent: coherence
Original:  A key ingredient here is to use a particular convex combination spanning trees guaranteed by a rainbow spanning tree decomposition, recently used by Boyd and Sebo.
Revised:  A key ingredient here is to use a rainbow spanning tree decomposition, recently used by Boyd and Sebo.
Edit intent: clarity
Original:  In this work, we introduce webly labeled learning for sound events in which we aim to remove human supervision altogether from the learning process.
Revised:  In this work, we introduce webly labeled learning for sound events which aims to remove human supervision altogether from the learning process.
Edit intent: coherence
Original:  We then describe deep learning methods to efficiently learn from these webly labeled audio recordings.
Revised:  We then describe methods to efficiently learn from these webly labeled audio recordings.
Edit intent: clarity
Original: In the last couple of years, weakly labeled learning for sound events has turned out to be an exciting approach for audio event detection.
Revised: In the last couple of years, weakly labeled learning has turned out to be an exciting approach for audio event detection.
Edit intent: clarity
Original:  The method also involves transfer learning to obtain efficient representations .
Revised:  The method also involves transfer learning to obtain efficient representations 
Edit intent: fluency
Original: This paper investigates the impact of link formation between a pair of agents on  resource availability of other agents  in a social cloud network, which is a special case of socially-based resource sharing systems . Specifically, we study the correlation between externalities, network size, and network density.
Revised: This paper investigates the impact of link formation between a pair of agents on the resource availability of other agents in a social cloud network, which is a special case of socially-based resource sharing systems . Specifically, we study the correlation between externalities, network size, and network density.
Edit intent: fluency
Original: This paper investigates the impact of link formation between a pair of agents on  resource availability of other agents  in a social cloud network, which is a special case of socially-based resource sharing systems . Specifically, we study the correlation between externalities, network size, and network density.
Revised: This paper investigates the impact of link formation between a pair of agents on resource availability of other agents in a social cloud network, a special case of socially-based resource sharing systems . Specifically, we study the correlation between externalities, network size, and network density.
Edit intent: coherence
Original: This paper investigates the impact of link formation between a pair of agents on  resource availability of other agents  in a social cloud network, which is a special case of socially-based resource sharing systems . Specifically, we study the correlation between externalities, network size, and network density.
Revised: This paper investigates the impact of link formation between a pair of agents on resource availability of other agents in a social cloud network, which is a special case of endogenous sharing economy networks . Specifically, we study the correlation between externalities, network size, and network density.
Edit intent: clarity
Original:  We first conjecture and experimentally support that if an agent experiences positive externalities, then its closeness (harmonic centrality measure) should increase.
Revised:  We first conjecture and experimentally support , that for an agent to experience positive externalities, then its closeness (harmonic centrality measure) should increase.
Edit intent: coherence
Original:  in more populated networks a set of agents experience positive externalities , and larger the distance between agents forming a link , more the number of beneficiaries ;
Revised:  in more populated networks a set of agents experience positive externalities , and larger the distance between agents forming a link has a direct bearing on the number of beneficiaries ;
Edit intent: clarity
Original:  in more populated networks a set of agents experience positive externalities , and larger the distance between agents forming a link , more the number of beneficiaries ;
Revised:  in more populated networks a set of agents experience positive externalities , and larger the distance between agents forming a link , more the number of beneficiaries ,
Edit intent: fluency
Original:  and the number of beneficiaries is always less than the number of non-beneficiaries .
Revised:  and the number of beneficiaries is always less than that of non-beneficiaries .
Edit intent: clarity
Original: In this work we design a conservative discontinuous Galerkin scheme for a generalised third order KdV type equation .
Revised: An energy conservative discontinuous Galerkin scheme for a generalised third order KdV type equation .
Edit intent: clarity
Original:  Next, we apply this algorithm to compute exact Polya , Hilbert-Artin 's representation and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Revised:  Next, we apply this algorithm to compute exact Polya , Hilbert-Artin and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Edit intent: fluency
Original: We consider the problem of finding exact sums of squares (SOS) decompositions for certain classes of non-negative multivariate polynomials, relying on semidefinite programming (SDP) solvers.
Revised: We consider the problem of computing exact sums of squares (SOS) decompositions for certain classes of non-negative multivariate polynomials, relying on semidefinite programming (SDP) solvers.
Edit intent: clarity
Original:  It computes an approximate SOS decomposition for a perturbation of the input polynomial with an arbitrary-precision SDP solver.
Revised:  The first step of this algorithm computes an approximate SOS decomposition for a perturbation of the input polynomial with an arbitrary-precision SDP solver.
Edit intent: clarity
Original:  An exact SOS decomposition is obtained thanks to the perturbation terms  .
Revised:  Next, an exact SOS decomposition is obtained thanks to the perturbation terms .
Edit intent: coherence
Original:  We prove that bit complexity estimates on output size and runtime are both polynomial in the degree of the input polynomial and simply exponential in the number of variables.
Revised:  We prove that bit complexity estimates on output size and runtime are both polynomial in the degree of the input polynomial and singly exponential in the number of variables.
Edit intent: clarity
Original:  Next, we apply this algorithm to compute exact Reznick, Hilbert-Artin  and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Revised:  Next, we apply this algorithm to compute exact Reznick, Hilbert-Artin 's representation and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Edit intent: fluency
Original:  We prove that bit complexity estimates on output size and runtime are both polynomial in the degree of the input polynomial and singly exponential in the number of variables  . Next, we apply this algorithm to compute exact Reznick, Hilbert-Artin's representation and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Revised:  We prove that bit complexity estimates on output size and runtime are both polynomial in the degree of the input polynomial and singly exponential in the number of variables ) . Next, we apply this algorithm to compute exact Reznick, Hilbert-Artin's representation and Putinar's representations respectively for positive definite forms and positive polynomials over basic compact semi-algebraic sets.
Edit intent: fluency
Original: While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper is the first detailed study of pump-and-dump activities in cryptocurrency markets.
Revised: While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper represents the first detailed study of pump-and-dump activities in cryptocurrency markets.
Edit intent: clarity
Original: While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper is the first detailed study of pump-and-dump activities in cryptocurrency markets.
Revised: While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper is the first detailed empirical query of pump-and-dump activities in cryptocurrency markets.
Edit intent: clarity
Original:  In Evoplex, the models are not coupled to the execution parameters or the visualization tools, and there is a user-friendly graphical user interface which makes it easy for all users, ranging from newcomers to experienced, to create, analyze, replicate and reproduce the experiments.
Revised:  In Evoplex, the models are not coupled to the execution parameters or the visualization tools, and there is a user-friendly graphical interface which makes it easy for all users, ranging from newcomers to experienced, to create, analyze, replicate and reproduce the experiments.
Edit intent: fluency
Original:  In this paper, for the case when all circles are equal and touch each other in the cover, we propose an FPTAS with the complexity O%DIFDELCMD < \left(%%% \frac{n^{2.
Revised:  %DIFDELCMD < \left(%%% \frac{n^{2.
Edit intent: coherence
Original:  First, we demonstrate that the leakage of essential metabolites can be advantageous.
Revised:  First, we demonstrate that leaking essential metabolites can be advantageous.
Edit intent: clarity
Original:  "  Counterintuitively, the mechanism can work even when the supplied resource is scarce.
Revised:  " Counterintuitively, the mechanisms can work even when the supplied resource is scarce.
Edit intent: fluency
Original:  Next, when such cells are crowded, the presence of another cell type, which takes up and consumes the leaked chemicals is beneficial for both cell types, so that their coexistence enhances the growth of both.
Revised:  Next, when such cells are crowded, the presence of another cell type, which consumes the leaked chemicals is beneficial for both cell types, so that their coexistence enhances the growth of both.
Edit intent: clarity
Original: Style transfer has been an important topic in both computer vision and graphics.
Revised: Style transfer has been an important topic both in computer vision and graphics.
Edit intent: fluency
Original:   Gatys et al. first prove that deep features extracted by the pre-trained VGG network represent both content and style features of an image and hence, style transfer can be achieved through optimization in feature space.
Revised:  Since the seminal work of Gatys et al. first prove that deep features extracted by the pre-trained VGG network represent both content and style features of an image and hence, style transfer can be achieved through optimization in feature space.
Edit intent: clarity
Original:   Gatys et al. first prove that deep features extracted by the pre-trained VGG network represent both content and style features of an image and hence, style transfer can be achieved through optimization in feature space.
Revised:  Gatys et al. first demonstrates the power of stylization through optimization in feature space.
Edit intent: clarity
Original:  Huang et al. then show that real-time arbitrary style transfer can be done by simply aligning the mean and variance of each feature channel .
Revised:  Huang et al. then show that real-time arbitrary style transfer with straightforward statistic matching techniques .
Edit intent: clarity