wanyu/IteraTeR_v2 huggingface dataset:
Original:  It relies on Gr \"o bner basis computation w.r.t.  the degree reverse lexicographical order, Gr \"o bner conversion to a lexicographical Gr \"o bner basis and real solving of univariate polynomials.
Revised:  It relies on Gr \"o bner basis computation w.r.t. the degree reverse lexicographical order, Gr \"o \''obner conversion to a lexicographical Gr \"o bner basis and real solving of univariate polynomials.
Edit intent: fluency
Original:  It relies on Gr \"o bner basis computation w.r.t.  the degree reverse lexicographical order, Gr \"o bner conversion to a lexicographical Gr \"o bner basis and real solving of univariate polynomials.
Revised:  It relies on Gr \"o bner basis computation w.r.t. the degree reverse lexicographical order, Gr \"o bner conversion to a lexicographical Gr bner basis and real solving of univariate polynomials.
Edit intent: fluency
Original:  It relies on Gr \"o bner basis computation w.r.t.  the degree reverse lexicographical order, Gr \"o bner conversion to a lexicographical Gr \"o bner basis and real solving of univariate polynomials.
Revised:  It relies on Gr \"o bner basis computation w.r.t. the degree reverse lexicographical order, Gr \"o bner conversion to a lexicographical Gr \"o \''obner basis and real solving of univariate polynomials.
Edit intent: fluency
Original:  We compare the practical performances of msolve \texttt{ with leading computer algebra systems such as \textsc{Magma}, \textsc{Maple}, \textsc{Singular} on a wide range of systems with finitely many complex solutions, showing that msolve \texttt{ can tackle systems which were out of reach by the computer algebra software state-of-the-art.
Revised:  We compare the practical performances of \texttt{ with leading computer algebra systems such as \textsc{Magma}, \textsc{Maple}, \textsc{Singular} on a wide range of systems with finitely many complex solutions, showing that msolve \texttt{ can tackle systems which were out of reach by the computer algebra software state-of-the-art.
Edit intent: fluency
Original:  We compare the practical performances of msolve \texttt{ with leading computer algebra systems such as \textsc{Magma}, \textsc{Maple}, \textsc{Singular} on a wide range of systems with finitely many complex solutions, showing that msolve \texttt{ can tackle systems which were out of reach by the computer algebra software state-of-the-art.
Revised:  We compare the practical performances of msolve \texttt{ with leading computer algebra systems such as \textsc{Magma}, \textsc{Maple}, \textsc{Singular} on a wide range of systems with finitely many complex solutions, showing that \texttt{ can tackle systems which were out of reach by the computer algebra software state-of-the-art.
Edit intent: fluency
Original:  In the clean-sheet design of this new mode of  transportation there is an unrivaled opportunity for the application of rigorous system optimization techniques.
Revised:  In the clean-sheet design of this new mode of transportation there is an excellent opportunity for the application of rigorous system optimization techniques.
Edit intent: clarity
Original:  We discuss the choice of objective function, the use of a convex optimization technique called Geometric Programming , and the level of modeling fidelity that has allowed us to capture the system's many intertwined, and often recursive, design relationships.
Revised:  We discuss the choice of objective function, the use of a convex optimization technique called geometric programming , and the level of modeling fidelity that has allowed us to capture the system's many intertwined, and often recursive, design relationships.
Edit intent: fluency
Original:  Field convolutions are flexible and straight-forward to implement , and their highly discriminating nature has cascading effects throughout the learning pipeline.
Revised:  Field convolutions are flexible , straight-forward to implement , and their highly discriminating nature has cascading effects throughout the learning pipeline.
Edit intent: fluency
Original:  In the context of automated story generation, this allows a human user lose or fine grained control of the topics  that will appear in the generated story, and can even allow for overlapping, blended topics.
Revised:  In the context of automated story generation, this allows a human user loose or fine-grained control of the topics that will appear in the generated story, and can even allow for overlapping, blended topics.
Edit intent: fluency
Original:  We show that our framework, working with different generation models , controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability  .
Revised:  Automated evaluations show our framework, working with different generation models , controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability .
Edit intent: clarity
Original:  We show that our framework, working with different generation models , controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability  .
Revised:  We show that our framework, working with different generative LMs , controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability .
Edit intent: clarity
Original:  Relative diarization error rate improvement over the best considered baseline (VBx) reaches 18 \% on AMI, 17 \% on DIHARD 3, and 16 \% on VoxConverse.
Revised:  Relative diarization error rate improvement over the best considered baseline (VBx) reaches 17 \% on AMI, 17 \% on DIHARD 3, and 16 \% on VoxConverse.
Edit intent: clarity
Original:  We show that this feature works better than log-Mel spectrogram, CQCC, MFCC, etc., as a suitable candidate to capture such artifacts.
Revised:  We show that this feature works better than log-Mel spectrogram, CQCC, MFCC, as a suitable candidate to capture such artifacts.
Edit intent: coherence
Original:  We developed a CNN-based baseline that achieved a 0.0849 t-DCF and outperformed the best single system reported in the ASVspoof 2019 challenge.
Revised:  We developed a CNN-based baseline that achieved a 0.0849 t-DCF and outperformed the previously top single systems reported in the ASVspoof 2019 challenge.
Edit intent: clarity
Original:  To account for this observation, we study a lattice population model in which reproducing cells push entire lanes of cells towards the open ends of the channel.
Revised:  To account for this observation, we employ a lattice population model in which reproducing cells push entire lanes of cells towards the open ends of the channel.
Edit intent: clarity
Original:  We also demonstrate that random mutations that appear in the middle and at the boundaries of the channel are highly likely to reach fixation .
Revised:  We also demonstrate that random mutations appearing in the middle and at the boundaries of the channel are highly likely to reach fixation .
Edit intent: coherence
Original:  We also demonstrate that random mutations that appear in the middle and at the boundaries of the channel are highly likely to reach fixation .
Revised:  We also demonstrate that random mutations that appear in the middle of the channel are highly likely to reach fixation .
Edit intent: clarity
Original: Images shared on social media help crisis managers in terms of gaining situational awareness and assessing incurred damages, among other response tasks.
Revised: Images shared on social media help crisis managers gain situational awareness and assessing incurred damages, among other response tasks.
Edit intent: coherence
Original: Images shared on social media help crisis managers in terms of gaining situational awareness and assessing incurred damages, among other response tasks.
Revised: Images shared on social media help crisis managers in terms of gaining situational awareness and assess incurred damages, among other response tasks.
Edit intent: fluency
Original:  As the volume and velocity of such content are really high, therefore, real-time image classification became an urgent need in order to take a faster response.
Revised:  As the volume and velocity of such content are typically high, real-time image classification became an urgent need in order to take a faster response.
Edit intent: coherence
Original:  As the volume and velocity of such content are really high, therefore, real-time image classification became an urgent need in order to take a faster response.
Revised:  As the volume and velocity of such content are really high, therefore, real-time image classification has become an urgent need in order to take a faster response.
Edit intent: coherence
Original:  As the volume and velocity of such content are really high, therefore, real-time image classification became an urgent need in order to take a faster response.
Revised:  As the volume and velocity of such content are really high, therefore, real-time image classification became an urgent need for a faster disaster response.
Edit intent: clarity
Original:  For developing real-time robust models, it is necessary to understand the capability of the publicly available pretrained models for these tasks .
Revised:  To develop robust real-time models, it is necessary to understand the capability of the publicly available pretrained models for these tasks .
Edit intent: clarity
Original:  For developing real-time robust models, it is necessary to understand the capability of the publicly available pretrained models for these tasks .
Revised:  For developing real-time robust models, it is necessary to understand the capability of the publicly available pre-trained models for these tasks .
Edit intent: fluency
Original:  We also explore the data augmentation , semi-supervised techniques, and a multitask  setup.
Revised:  We also explore various data augmentation strategies , semi-supervised techniques, and a multitask setup.
Edit intent: clarity
Original:  We also explore the data augmentation , semi-supervised techniques, and a multitask  setup.
Revised:  We also explore the data augmentation , semi-supervised techniques, and a multitask learning setup.
Edit intent: clarity
Original: The application of renewable energy sources in the power grid  , especially in smart grids, where there is a bidirectional transfer of data and power , increases the necessity of tracking the system's state.
Revised: The application of renewable energy sources in the power grid increases the necessity of tracking the system's state , especially in smart grids, where there is a bidirectional transfer of data and power , increases the necessity of tracking the system's state.
Edit intent: fluency
Original:  Additionally, the complexity of coupling between communication and the electrical infrastructure in a smart grid will allow a vast amount of vulnerabilities .
Revised:  Additionally, the complexity of coupling between communication and the electrical infrastructure in a smart grid will create a higher chance for security breach .
Edit intent: clarity
Original:  In this paper , we propose a combination of distributed state estimation and a blockchain designed communication platform.
Revised:  The paper proposes an integration of distributed state estimation and a blockchain designed communication platform.
Edit intent: clarity
Original:  In this paper , we propose a combination of distributed state estimation and a blockchain designed communication platform.
Revised:  In this paper , we propose a combination of distributed state estimation with a blockchain designed communication platform.
Edit intent: fluency
Original:  Additionally, the asynchronous manner for data transmission, which is more likely to happen in the real world, has been considered the second case in this work .
Revised:  Additionally, the asynchronous manner for data transmission, which is more likely to happen in the real world, has been considered as the second task of this research .
Edit intent: clarity
Original:  Finally, a detailed analysis regarding the application of blockchain in distributed state estimation has been provided.
Revised:  Finally, a detailed analysis of the blockchain-based application in distributed state estimation has been provided.
Edit intent: clarity
Original:  Finally, a detailed analysis regarding the application of blockchain in distributed state estimation has been provided.
Revised:  Finally, a detailed analysis regarding the application of blockchain in distributed state estimation is provided.
Edit intent: clarity
Original: In evolutionary robotics, several approaches have been shown to be capable of the joint optimisation of body-plans and controllers by either using only evolution or combining evolution and learning.
Revised: The joint optimisation of body-plans and controllers by either using only evolution or combining evolution and learning.
Edit intent: clarity
Original:  When working in rich morphological spaces , it is common for offspring to have body-plans that are very different from either of their parents , which can cause difficulties with respect to inheriting a suitable controller .
Revised:  When working in rich morphological spaces in which offspring can have body-plans that are very different from either of their parents , which can cause difficulties with respect to inheriting a suitable controller .
Edit intent: clarity
Original:  When working in rich morphological spaces , it is common for offspring to have body-plans that are very different from either of their parents , which can cause difficulties with respect to inheriting a suitable controller .
Revised:  When working in rich morphological spaces , it is common for offspring to have body-plans that are very different from either of their parents . This causes a potential mismatch between the structure of an inherited controller and the new body .
Edit intent: clarity
Original:  To address this, we propose a framework that combines an evolutionary algorithm to generate body-plans and a learning algorithm to optimise the parameters of a neural controller where the topology of this controller is created once the body-plan of each offspring body-plan is generated.
Revised:  To address this, we propose a framework that combines an evolutionary algorithm to generate body-plans and a learning algorithm to optimise the parameters of a neural controller . The topology of this controller is created once the body-plan of each offspring body-plan is generated.
Edit intent: coherence
Original:  By inheriting an appropriate controller from the archive rather than learning from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using three different test-beds .
Revised:  By learning from a controller with an appropriate structure inherited from the archive rather than learning from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using three different test-beds .
Edit intent: clarity
Original:  By inheriting an appropriate controller from the archive rather than learning from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using three different test-beds .
Revised:  By inheriting an appropriate controller from the archive , rather than from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using three different test-beds .
Edit intent: fluency
Original:  By inheriting an appropriate controller from the archive rather than learning from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using three different test-beds .
Revised:  By inheriting an appropriate controller from the archive rather than learning from a randomly initialised one, we show that both the speed and magnitude of learning increases over time when compared to an approach that starts from scratch, using two tasks and three environments .
Edit intent: clarity
Original:  The framework also provides new insights into the complex interactions between evolution and learning , and the role of morphological intelligence in robot design .
Revised:  The framework also provides new insights into the complex interactions between evolution and learning .
Edit intent: clarity
Original:  Numerical simulations of the model are performed for different values of the order of the fractional derivative and for different values of reinfection rate.
Revised:  Numerical simulations are performed for different values of the order of the fractional derivative and for different values of reinfection rate.
Edit intent: clarity
Original:  Numerical simulations of the model are performed for different values of the order of the fractional derivative and for different values of reinfection rate.
Revised:  Numerical simulations of the model are performed for different values of the order of the fractional derivative and of reinfection rate.
Edit intent: fluency
Original:  In this paper is proposed a non-integer order model to describe the dynamics of CoViD-19 in a standard population.
Revised:  This paper proposes a non-integer order model to describe the dynamics of CoViD-19 in a standard population.
Edit intent: clarity
Original:  In this paper, we investigate a new mechanism called radius memory which can be added to stagnation detection to manage the search radius for each search point based on the last success .
Revised:  In this paper, we investigate a new mechanism called radius memory which can be added to stagnation detection to control the search radius for each search point based on the last success .
Edit intent: clarity
Original:  In this paper, we investigate a new mechanism called radius memory which can be added to stagnation detection to manage the search radius for each search point based on the last success .
Revised:  In this paper, we investigate a new mechanism called radius memory which can be added to stagnation detection to manage the search radius more carefully by giving preference to values that were successful in the past .
Edit intent: clarity
Original:  We implement this idea in an algorithm called SD-RLS^{m} and show compared to previous variants of stagnation detection that it yields speed-ups for linear functions under uniform constraints and the minimum spanning tree  .
Revised:  We implement this idea in an algorithm called SD-RLS^{m} and show compared to previous variants of stagnation detection that it yields speed-ups for linear functions under uniform constraints and the minimum spanning tree problem .
Edit intent: clarity
Original: First-order logic is a natural way of expressing the properties of computation , traditionally used in various program logics for expressing the correctness properties and certificates.
Revised: First-order logic is a natural way of expressing properties of computation , traditionally used in various program logics for expressing the correctness properties and certificates.
Edit intent: fluency
Original: First-order logic is a natural way of expressing the properties of computation , traditionally used in various program logics for expressing the correctness properties and certificates.
Revised: First-order logic is a natural way of expressing the properties of computation . It is traditionally used in various program logics for expressing the correctness properties and certificates.
Edit intent: coherence
Original:  Subsequently, modern methods in the automated inference of program invariants progress towards the construction of first-order definable invariants.
Edit intent: coherence
Original:  In this paper, we explore three different approaches of representing the inductive invariants of ADT-manipulating programs: by first-order formulas, by tree automataand by first-order formulas with  size constraints.
Revised:  In this paper, we explore three different approaches to represent program invariants of ADT-manipulating programs: by first-order formulas, by tree automataand by first-order formulas with size constraints.
Edit intent: clarity
Original:  In this paper, we explore three different approaches of representing the inductive invariants of ADT-manipulating programs: by first-order formulas, by tree automataand by first-order formulas with  size constraints.
Revised:  In this paper, we explore three different approaches of representing the inductive invariants of ADT-manipulating programs: by first-order formulas with size constraints.
Edit intent: clarity
Original:  In this paper, we explore three different approaches of representing the inductive invariants of ADT-manipulating programs: by first-order formulas, by tree automataand by first-order formulas with  size constraints.
Revised:  In this paper, we explore three different approaches of representing the inductive invariants of ADT-manipulating programs: by first-order formulas, by tree automataand by first-order formulas with or without size constraints.
Edit intent: clarity
Original:  We show how to automatically infer regular invariants of ADT-manipulating programs using finite model finders.
Revised:  We show how to automatically infer program invariants of ADT-manipulating programs using finite model finders.
Edit intent: clarity
Original:  Our evaluation shows that automata-based representation of invariants is more practical than the one based on first-order logic since invariants are capable of expressing more complex properties of the computation and their automatic construction is  less expensive.
Revised:  Our evaluation shows that automata-based representation of invariants is more practical than the one based on first-order logic since invariants are capable of expressing more complex properties of computation and their automatic construction is less expensive.
Edit intent: fluency
Original:  Our evaluation shows that automata-based representation of invariants is more practical than the one based on first-order logic since invariants are capable of expressing more complex properties of the computation and their automatic construction is  less expensive.
Revised:  Our evaluation shows that automata-based representation of invariants is more practical than the one based on first-order logic since invariants are capable of expressing more complex properties of the computation and their automatic construction is often less expensive.
Edit intent: clarity
Original:  While such systems offer convenient APIs that can be used to achieve data parallelism automatically, they offer limited support for computations which require synchronization between parallel nodes.
Revised:  While such systems offer convenient APIs that can be used to achieve data parallelism automatically, they offer limited support for computations that require synchronization between parallel nodes.
Edit intent: fluency
Original:  In this paper we proposedependency-guided synchronization (DGS) , an alternative programming model and stream processing API for stateful streaming computations with complex synchronization requirements.
Revised:  In this paper dependency-guided synchronization (DGS) , an alternative programming model and stream processing API for stateful streaming computations with complex synchronization requirements.
Edit intent: clarity
Original:  In this paper we proposedependency-guided synchronization (DGS) , an alternative programming model and stream processing API for stateful streaming computations with complex synchronization requirements.
Revised:  In this paper we propose, we propose *dependency-guided synchronization (DGS)* , an alternative programming model and stream processing API for stateful streaming computations with complex synchronization requirements.
Edit intent: fluency