wanyu/IteraTeR_v2 huggingface dataset:
Original:  In the context of traffic signal control, good cooperation among the traffic signal agents enables the vehicles to move through intersections more smoothly . Conventional transportation approaches implement cooperation by pre-calculating the offsets between two intersections.
Revised:  In the context of traffic signal control, good cooperation among the traffic signal agents enables the vehicles to move through intersections more quickly . Conventional transportation approaches implement cooperation by pre-calculating the offsets between two intersections.
Edit intent: clarity
Original:  To learn the communications between agents , in this paper, we propose to use graph attentional network to facilitate cooperation . Specifically, for a target intersection in a network, our proposed model, CoLight , cannot only incorporate the  influences of neighboring intersections but learn to differentiate their impacts to the target intersection  .
Revised:  To learn the communications between agents , in this paper, we propose a model, CoLight, which uses graph attentional networks to facilitate communication . Specifically, for a target intersection in a network, our proposed model, CoLight , cannot only incorporate the influences of neighboring intersections but learn to differentiate their impacts to the target intersection .
Edit intent: clarity
Original:  To learn the communications between agents , in this paper, we propose to use graph attentional network to facilitate cooperation . Specifically, for a target intersection in a network, our proposed model, CoLight , cannot only incorporate the  influences of neighboring intersections but learn to differentiate their impacts to the target intersection  .
Revised:  To learn the communications between agents , in this paper, we propose to use graph attentional network to facilitate cooperation . Specifically, for a target intersection in a network, CoLight can not only incorporate the influences of neighboring intersections but learn to differentiate their impacts to the target intersection .
Edit intent: clarity
Original:  To learn the communications between agents , in this paper, we propose to use graph attentional network to facilitate cooperation . Specifically, for a target intersection in a network, our proposed model, CoLight , cannot only incorporate the  influences of neighboring intersections but learn to differentiate their impacts to the target intersection  .
Revised:  To learn the communications between agents , in this paper, we propose to use graph attentional network to facilitate cooperation . Specifically, for a target intersection in a network, our proposed model, CoLight , cannot only incorporate the influences of neighboring intersections to the target intersection .
Edit intent: coherence
Original:  To the best of our knowledge, we are the first to use graph attentional network in the setting of reinforcement learning for traffic signal control  .
Revised:  To the best of our knowledge, we are the first to use graph attentional networks in the setting of reinforcement learning for traffic signal control .
Edit intent: fluency
Original:  In experiments, we demonstrate that by learning the communication, the proposed model can achieve surprisingly good performance , whereas the existing approaches based on joint action modeling fail to learn well .
Revised:  In experiments, we demonstrate that by learning the communication, the proposed model can achieve superior performance against the state-of-the-art methods .
Edit intent: clarity
Original:  To test our hypothesis, we quantify the burstiness of inter-arrival times around the date and times of three large-scale incidents: the Indosat hijacking event in April 2014, the Telecom Malaysia leak in June 2015, and the Bharti Airtel Ltd. hijack in November 2015.
Revised:  To test our hypothesis, we quantify the burstiness of inter-arrival times around the date and times of three large-scale incidents: the Indosat hijacking event in April 2014, the Telecom Malaysia leak in June 2015, the Bharti Airtel Ltd. hijack in November 2015.
Edit intent: fluency
Original:  We propose an algorithm that leverages the burstiness of disruptive updates to provide early detection of large-scale malicious incidentsusing local collector data .
Revised:  We propose an algorithm that leverages the burstiness of disruptive update messages to detect these incidents .
Edit intent: clarity
Original:  We describe limitations, open challenges, and how this method can be used for large-scale routing anomaly detection.
Revised:  We describe limitations, open challenges, and how this method can be used for routing anomaly detection.
Edit intent: clarity
Original: Deep neural networks have achieved remarkable success in  challenging tasks.
Revised: Deep neural networks have achieved remarkable success in various challenging tasks.
Edit intent: clarity
Original:  However, the black-box approach of training and testing of such networks is not acceptable to critical applications  .
Revised:  However, the black-box nature of such networks is not acceptable to critical applications .
Edit intent: clarity
Original:  In particular, the existence of adversarial examples and their overgeneralization to irrelevant inputs makes it difficult, if not impossible, to explain decisions by commonly used neural networks.
Revised:  In particular, the existence of adversarial examples and their overgeneralization to irrelevant inputs makes it difficult, if not impossible, to explain decisions by such networks.
Edit intent: clarity
Original:  In this paper, we analyze the underlying mechanism of generalization of deep neural networks and propose an (n, k) consensus algorithm to be insensitive to adversarial examples and at the same time be able to reject irrelevant samples.
Revised:  In this paper, we analyze the underlying mechanism of generalization of deep neural networks and propose an (n, k) consensus algorithm which is insensitive to adversarial examples and at the same time be able to reject irrelevant samples.
Edit intent: fluency
Original:  In this paper, we analyze the underlying mechanism of generalization of deep neural networks and propose an (n, k) consensus algorithm to be insensitive to adversarial examples and at the same time be able to reject irrelevant samples.
Revised:  In this paper, we analyze the underlying mechanism of generalization of deep neural networks and propose an (n, k) consensus algorithm to be insensitive to adversarial examples and can reliably reject out-of-distribution samples.
Edit intent: clarity
Original:  Experimental results on a health dataset show the effectiveness of our algorithm in enhancing  the prediction accuracy and  interpretability of deep neural network models on one-year patient mortality prediction  .
Revised:  Experimental results on a health dataset show the effectiveness of our algorithm in enhancing both the prediction accuracy and interpretability of deep neural network models on one-year patient mortality prediction .
Edit intent: clarity
Original:  Experimental results on a health dataset show the effectiveness of our algorithm in enhancing  the prediction accuracy and  interpretability of deep neural network models on one-year patient mortality prediction  .
Revised:  Experimental results on a health dataset show the effectiveness of our algorithm in enhancing the prediction accuracy and the interpretability of deep neural network models on one-year patient mortality prediction .
Edit intent: fluency
Original: ~Appl., 113 (1989), pp.~7-63] that under certain coditions, that%DIFDELCMD < {\em %%% may be satisfied by a finite precision CG computation, the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix  .
Revised: ~Appl., 113 (1989), pp.~7-63] that under certain %DIFDELCMD < {\em %%% may be satisfied by a finite precision CG computation, the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix .
Edit intent: fluency
Original: ~Appl., 113 (1989), pp.~7-63] that under certain coditions, that%DIFDELCMD < {\em %%% may be satisfied by a finite precision CG computation, the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix  .
Revised: ~Appl., 113 (1989), pp.~7-63] that under certain coditions, that%DIFDELCMD < {\em %%% be satisfied by a finite precision CG computation, the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix .
Edit intent: clarity
Original: ~Appl., 113 (1989), pp.~7-63] that under certain coditions, that%DIFDELCMD < {\em %%% may be satisfied by a finite precision CG computation, the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix  .
Revised: ~Appl., 113 (1989), pp.~7-63] that under certain coditions, that%DIFDELCMD < {\em %%% may conditions the convergence of that computation is like that of exact CG for a matrix with many eigenvalues distributed throughout tiny intervals about the eigenvalues of the given matrix .
Edit intent: clarity
Original:  We determine to what extent each of these variants satisfies the desired conditions, using a set of test problems , and show that there is significant correlation between how well these conditions are satisfied and how well the finite precision computation converges before reaching its ultimately attainable accuracy.
Revised:  We determine to what extent each of these variants satisfies the desired conditions, using a set of test problems and show that there is significant correlation between how well these conditions are satisfied and how well the finite precision computation converges before reaching its ultimately attainable accuracy.
Edit intent: fluency
Original:  On the other hands , CVAE training is simple but does not come with the distribution-matching property as in GAN.
Revised:  On the other hand , CVAE training is simple but does not come with the distribution-matching property as in GAN.
Edit intent: fluency
Original:  On the other hands , CVAE training is simple but does not come with the distribution-matching property as in GAN.
Revised:  On the other hands , CVAE training is simple but does not come with the distribution-matching property of a GAN.
Edit intent: clarity
Original:  The Jain index of fairness  has been recently applied to alleviate this undesirable effect in efficient energy allocations.
Revised:  The Jain index of fairness , which has been recently applied to alleviate this undesirable effect in efficient energy allocations.
Edit intent: coherence
Original:  In this research a bilevel distributed mechanism is described , where at the lower level, auction mechanisms are invoked simultaneously at each aggregator to obtain energy costs under market equilibrium conditions.
Revised:  In this research a bilevel distributed mechanism is proposed , where at the lower level, auction mechanisms are invoked simultaneously at each aggregator to obtain energy costs under market equilibrium conditions.
Edit intent: clarity
Original:  A constrained multi-gradient ascent approach, ALMA, Augmented Lagrangian Multigradient Approach is proposed to for implementation at the upper level to attain Pareto optimal energy allocations that represent tradeoffs between efficiency and fairness.
Revised:  A constrained multi gradient ascent algorithm, Augmented Lagrangian Multigradient Approach is proposed to for implementation at the upper level to attain Pareto optimal energy allocations that represent tradeoffs between efficiency and fairness.
Edit intent: clarity
Original:  A constrained multi-gradient ascent approach, ALMA, Augmented Lagrangian Multigradient Approach is proposed to for implementation at the upper level to attain Pareto optimal energy allocations that represent tradeoffs between efficiency and fairness.
Revised:  A constrained multi-gradient ascent approach, ALMA, Augmented Lagrangian Multigradient Approach ALMA, is proposed for implementation at the upper level to attain Pareto optimal energy allocations that represent tradeoffs between efficiency and fairness.
Edit intent: clarity
Original:  A constrained multi-gradient ascent approach, ALMA, Augmented Lagrangian Multigradient Approach is proposed to for implementation at the upper level to attain Pareto optimal energy allocations that represent tradeoffs between efficiency and fairness.
Revised:  A constrained multi-gradient ascent approach, ALMA, Augmented Lagrangian Multigradient Approach is proposed to for implementation at the upper level to attain energy allocations that represent tradeoffs between efficiency and fairness.
Edit intent: clarity
Original:  The overall effectiveness of the proposed approach is confirmed through a set of MATLAB simulations implemented on a modified IEEE 37-bus system testbed .
Revised:  The overall effectiveness of the proposed approach is confirmed through a set of MATLAB simulations implemented on a modified IEEE 37-bus system platform .
Edit intent: clarity
Original: We propose a communication scheme with relays to improve the reliability of a Long Range (LoRa) sensor network with duty cycle limitations.
Revised: We propose a communication scheme with relays to improve the reliability of a Long Range (LoRa) sensor network with duty-cycle limitations.
Edit intent: fluency
Original:  Further improvements are achieved by including a few past measurements in each ~ frame.
Revised:  Further improvements are achieved by including a few past measurements in each frame.
Edit intent: fluency
Original:  We also treat\geq5 K_k-minor-free multigraphs of edge-diameter at most 2.{2})\Delta.}
Revised:  For k\geq5 K_k-minor-free multigraphs of edge-diameter at most 2.{2})\Delta.}
Edit intent: clarity
Original:  We also treat\geq5 K_k-minor-free multigraphs of edge-diameter at most 2.{2})\Delta.}
Revised:  We also treat\geq5, we also show that K_k-minor-free multigraphs of edge-diameter at most 2.{2})\Delta.}
Edit intent: coherence
Original: In this article , we introduce the concept of special decomposition of a set under the given pairs of subsets of that set, and the concept of special covering of a set under such a decomposition.
Revised: In this article we introduce the concept of special decomposition of a set under the given pairs of subsets of that set, and the concept of special covering of a set under such a decomposition.
Edit intent: fluency
Original: In this article , we introduce the concept of special decomposition of a set under the given pairs of subsets of that set, and the concept of special covering of a set under such a decomposition.
Revised: In this article , we introduce the concept of special decomposition of a set and the concept of special covering of a set under such a decomposition.
Edit intent: clarity
Original:  We study the conditions for existence of special coverings of  sets, under  special decomposition of the set.
Revised:  We study the conditions for existence of special coverings of the sets, under special decomposition of the set.
Edit intent: fluency
Original:  We study the conditions for existence of special coverings of  sets, under  special decomposition of the set.
Revised:  We study the conditions for existence of special coverings of sets, under the special decomposition of the set.
Edit intent: fluency
Original:  Such conditions of formulated problem have important applications in the field of satisfiability of  functions.
Revised:  These conditions of formulated problem have important applications in the field of satisfiability of functions.
Edit intent: fluency
Original:  Our goal is to study the relationship between sat CNF problem and the problem of existance of special covering of te set.
Revised:  Our goal is to study the relationship between sat CNF problem and the problem of existance of special covering of the set.
Edit intent: fluency
Original:  Although existing LDP protocols offer high data utility for large user populations (100,000 or more users), they perform poorly in scenarios with small user populations (such as those in the cybersecurity domain) and lack perturbation mechanisms that are effective for both ordinal and non-ordinal item sequences while protecting sequence length and content simultaneously.
Revised:  Although existing LDP protocols offer high utility for large user populations (100,000 or more users), they perform poorly in scenarios with small user populations (such as those in the cybersecurity domain) and lack perturbation mechanisms that are effective for both ordinal and non-ordinal item sequences while protecting sequence length and content simultaneously.
Edit intent: clarity
Original:  Extensive experiments are conducted on multiple datasets, including datasets that are an order of magnitude smaller than those used in existing approaches, which show that proposed CLDP protocols yield higher utilitycompared to existing LDP protocols .
Revised:  Extensive experiments are conducted on multiple datasets, including datasets that are an order of magnitude smaller than those used in existing approaches, which show that proposed CLDP protocols yield high utility .
Edit intent: clarity
Original:  Furthermore, case studies with Symantec datasets demonstrate that our protocols outperform existing protocols in key cybersecurity-focused tasks of detecting ransomware outbreaks, identifying targeted and vulnerable OSs, and inspecting suspicious activities on infected machines.
Revised:  Furthermore, case studies with Symantec datasets demonstrate that our protocols accurately support key cybersecurity-focused tasks of detecting ransomware outbreaks, identifying targeted and vulnerable OSs, and inspecting suspicious activities on infected machines.
Edit intent: clarity
Original:  At the same time the ability to obtain data by measurements from these complex systems , often through sensor networks, poses the question of how one systematically incorporates data into the FEM, consistently updating the finite element solution in the face of mathematical model misspecification with physical reality.
Revised:  At the same time the ability to obtain data by measurements from these complex systems , often through sensor networks, poses the question of how to incorporate this data into finite element models. To this end, we propose a novel statistical construction of the finite element solution in the face of mathematical model misspecification with physical reality.
Edit intent: clarity
Original: The goal of a reduced basis method is to find an approximating subspace for a given set of data.
Revised: In this effort we introduce and analyze a novel reduced basis approach, used to construct an approximating subspace for a given set of data.
Edit intent: clarity
Original:  In this paper we mainly consider a recursive greedy approach for constructing such subspaces .
Revised:  Our technique, which we call the Natural Greedy Algorithm (NGA), is based on a recursive approach for iteratively constructing such subspaces .
Edit intent: clarity
Original:  We discuss the Greedy Algorithm that was studied extensively in recent years, and introduce the Natural Greedy Algorithm, which coincides with the Greedy Algorithm in a Hilbert space but is significantly simpler computationally in a general Banach space as it utilizes a new way of projecting onto subspaces.
Revised:  We discuss the Greedy Algorithm that was studied extensively in recent years, and introduce the Natural Greedy Algorithm, which coincides with the Greedy Algorithm in a Hilbert space . However, for a given set of data in a general Banach space as it utilizes a new way of projecting onto subspaces.
Edit intent: coherence
Original:  We analyze and compare these greedy algorithms , and demonstrate that the performance of the Natural Greedy Algorithm is similar to that of the Greedy Algorithm in terms of both theoretical and numerical results , while the realization of the former is substantially simpler computationally.
Revised:  We provide a rigorous analysis of the NGA , and demonstrate that the performance of the Natural Greedy Algorithm is similar to that of the Greedy Algorithm in terms of both theoretical and numerical results , while the realization of the former is substantially simpler computationally.
Edit intent: clarity
Original:  We analyze and compare these greedy algorithms , and demonstrate that the performance of the Natural Greedy Algorithm is similar to that of the Greedy Algorithm in terms of both theoretical and numerical results , while the realization of the former is substantially simpler computationally.
Revised:  We analyze and compare these greedy algorithms , and demonstrate that the performance of the Natural Greedy Algorithm is similar to the OGA , while the realization of the former is substantially simpler computationally.
Edit intent: clarity
Original:  The method works first synthesizing a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then using the (polytime computable) reachability relation of Q-VASRs to over-approximate the behavior of the loop.
Revised:  The method synthesizes a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then using the (polytime computable) reachability relation of Q-VASRs to over-approximate the behavior of the loop.
Edit intent: clarity
Original:  The method works first synthesizing a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then using the (polytime computable) reachability relation of Q-VASRs to over-approximate the behavior of the loop.
Revised:  The method works first synthesizing a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then uses the reachability relation of Q-VASRs to over-approximate the behavior of the loop.
Edit intent: clarity
Original:  The method works first synthesizing a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then using the (polytime computable) reachability relation of Q-VASRs to over-approximate the behavior of the loop.
Revised:  The method works first synthesizing a rational vector addition system with resets (Q-VASR) that simulates the action of an input loop, and then using the (polytime computable) reachability relation of that Q-VASR to over-approximate the behavior of the loop.
Edit intent: clarity
Original:  The key technical problem solved in this paper is to  synthesize a Q-VASR that is a best abstraction of a  loop in the sense that (1) it simulates the loop and (2) it is simulated by any other Q-VASR that simulates the loop.
Revised:  The key technical problem solved in this paper is to automatically synthesize a Q-VASR that is a best abstraction of a loop in the sense that (1) it simulates the loop and (2) it is simulated by any other Q-VASR that simulates the loop.
Edit intent: clarity
Original:  The key technical problem solved in this paper is to  synthesize a Q-VASR that is a best abstraction of a  loop in the sense that (1) it simulates the loop and (2) it is simulated by any other Q-VASR that simulates the loop.
Revised:  The key technical problem solved in this paper is to synthesize a Q-VASR that is a best abstraction of a given loop in the sense that (1) it simulates the loop and (2) it is simulated by any other Q-VASR that simulates the loop.
Edit intent: clarity
Original:  As a result, our loop summarization scheme has predictable precision.
Revised:  Since our loop summarization scheme has predictable precision.
Edit intent: coherence
Original:  We implement the summarization algorithm and show experimentally that it is precise and performant  .
Revised:  We implement the summarization algorithm and show experimentally that the technique is precise and performant .
Edit intent: clarity