wanyu/IteraTeR_v2 huggingface dataset:
Original:  Finally, we propose novel approaches to synthesizer hyperparameter optimization , and demonstrate how perceptually-correlated auditory distances could enable new applications in synthesizer design .
Revised:  Finally, we propose novel approaches to synthesizer hyperparameter optimization .
Edit intent: clarity
Original:  While linear models of feedback control systems have been well studied over many decades, this paper proposes and analyzes a class of models whose aims are to capture some of the essential features of neural control of movement.
Revised:  While linear models of feedback control systems have been well studied over decades, this paper proposes and analyzes a class of models whose aims are to capture some of the essential features of neural control of movement.
Edit intent: clarity
Original:  While we begin by considering continuous-time systemsgoverned by differential equations , the aim will be to treat systems whose evolution involves classes of inputs that emulate neural spike trains.
Revised:  While we begin by considering continuous time systems , the aim will be to treat systems whose evolution involves classes of inputs that emulate neural spike trains.
Edit intent: clarity
Original:  A multiple camera setup is presented for the camera cluster which has 360^{\circ vision such that our framework solely requires one planar marker.
Revised:  A multiple camera setup is presented for the camera cluster which has 360-degree vision such that our framework solely requires one planar marker.
Edit intent: clarity
Original:  The Tracy-Widom distribution is one of the most important distributions in random matrix theory, and its numerical evaluation is a subject of great practical importance.
Revised:  The Tracy-Widom distribution is one of the most important distributions in random matrix theory, and their numerical evaluation is a subject of great practical importance.
Edit intent: fluency
Original:  One numerical method for evaluating the Tracy-Widom distribution uses the fact that the distribution can be represented as a Fredholm determinant of a certain integral operator.
Revised:  One numerical method for evaluating the distributions uses the fact that the distribution can be represented as a Fredholm determinant of a certain integral operator.
Edit intent: clarity
Original:  One numerical method for evaluating the Tracy-Widom distribution uses the fact that the distribution can be represented as a Fredholm determinant of a certain integral operator.
Revised:  One numerical method for evaluating the Tracy-Widom distribution uses the fact that they can be represented as a Fredholm determinant of a certain integral operator.
Edit intent: clarity
Original:  However, when the spectrum of the integral operator is computed by discretizing it directly, the eigenvalues are known to at most absolute precision.
Revised:  When the spectrum of the integral operator is computed by discretizing it directly, the eigenvalues are known to at most absolute precision.
Edit intent: coherence
Original:  In this manuscript, we develop an efficient numerical algorithm for evaluating the eigendecomposition of the  integral operator to full relative precision, using the eigendecomposition of the  differential operator.
Revised:  In this manuscript, we develop an efficient numerical algorithm for evaluating the eigendecomposition of the integral operator to full relative precision, using the eigendecomposition of the commuting differential operator.
Edit intent: fluency
Original: Influenced by the stunning success of deep learning in computer vision and language understanding, research in recommendation has shifted to inventing new recommender models based on neural networks.
Revised: Influenced by the great success of deep learning in computer vision and language understanding, research in recommendation has shifted to inventing new recommender models based on neural networks.
Edit intent: clarity
Original:  Specifically, we divide the work into three types based on the data they used for recommendation modeling : 1) collaborative filtering models, which leverage the key source of user-item interaction data;
Revised:  Specifically, based on the data they used for recommendation modeling : 1) collaborative filtering models, which leverage the key source of user-item interaction data;
Edit intent: coherence
Original:  Specifically, we divide the work into three types based on the data they used for recommendation modeling : 1) collaborative filtering models, which leverage the key source of user-item interaction data;
Revised:  Specifically, we divide the work into three types based on the data they used for recommendation modeling : 1) collaborative filtering , which leverages the key source of user-item interaction data;
Edit intent: clarity
Original:  2) content enriched models , which additionally utilize the side information associated with users and items, like user profile and item knowledge graph;
Revised:  2) content enriched recommendation , which additionally utilize the side information associated with users and items, like user profile and item knowledge graph;
Edit intent: clarity
Original:  2) content enriched models , which additionally utilize the side information associated with users and items, like user profile and item knowledge graph;
Revised:  2) content enriched models , which additionally utilizes the side information associated with users and items, like user profile and item knowledge graph;
Edit intent: fluency
Original:  After reviewing representative works for each type, we finally discuss some promising directions in this field , including benchmarking recommender systems, graph reasoning based recommendation models, and explainable and fair recommendations for social good.
Revised:  After reviewing representative work for each type, we finally discuss some promising directions in this field , including benchmarking recommender systems, graph reasoning based recommendation models, and explainable and fair recommendations for social good.
Edit intent: fluency
Original: Linear operations on coefficients in the spherical harmonics (SH) transform domain which again yield SH-domain coefficients are an important toolset in many disciplines of research and engineering.
Revised: Linear operations on coefficients in the spherical harmonics (SH) transform domain that again yield SH-domain coefficients are an important toolset in many disciplines of research and engineering.
Edit intent: fluency
Original:  They comprise rotations, spatially selective filters, and many other modifications for various applications, or describe  a MIMO system 's response to an excitation.
Revised:  They comprise rotations, spatially selective filters, and many other modifications for various applications, or describe the response of a MIMO system 's response to an excitation.
Edit intent: clarity
Original:  They comprise rotations, spatially selective filters, and many other modifications for various applications, or describe  a MIMO system 's response to an excitation.
Revised:  They comprise rotations, spatially selective filters, and many other modifications for various applications, or describe a MIMO system to an excitation.
Edit intent: clarity
Original:  With our proposed method, we succeed to show many important aspects of an operation in a single plot and give rise to a comprehensive interpretation of a system's behavior .
Revised:  With our proposed method, we succeed to show many important aspects of an operation in a single plot and give rise to a comprehensive interpretation of the behavior of a system .
Edit intent: clarity
Original:  We show how our approach works smoothly and accomplish real-time constraints embedded in an Infineon Aurix TC397B automotive platform.
Revised:  We show how our approach works smoothly and accomplishes real-time constraints embedded in an Infineon Aurix TC397B automotive platform.
Edit intent: fluency
Original:  Cosine triples in either family sweep the same planar curve: an equilateral cubic resembling a guitar pick .
Revised:  Cosine triples in either family sweep the same planar curve: an equilateral cubic resembling a plectrum (guitar pick) .
Edit intent: clarity
Original: Poncelet N-periodics in a confocal pair (elliptic billiard) conserve the same sum of cosines as their affine image with fixed incircle.
Revised: Poncelet N-periodics in a confocal pair (elliptic billiard) conserves the sum of cosines as their affine image with fixed incircle.
Edit intent: clarity
Original:  For N=3, the vector of cosines in either family sweep the same planar curve: an equilateral cubic resembling a plectrum (guitar pick).
Revised:  For N=3, the cosine triples of both families sweep the same planar curve: an equilateral cubic resembling a plectrum (guitar pick).
Edit intent: clarity
Original:  We also show that  the family of excentral triangles to the confocal family conserves the same product of cosines as  its affine image with fixed circumcircle.
Revised:  We also show that the family of triangles excentral to the confocal family conserves the same product of cosines as its affine image with fixed circumcircle.
Edit intent: fluency
Original:  We also show that  the family of excentral triangles to the confocal family conserves the same product of cosines as  its affine image with fixed circumcircle.
Revised:  We also show that the family of excentral triangles to the confocal family conserves the same product of cosines as the one conserved by its affine image with fixed circumcircle.
Edit intent: clarity
Original:  The associated planar curve in log cosine space is also plectrum-shaped , though rounder than the one swept by its parent confocal family.
Revised:  When the triple of log-cosines is considered, this curve becomes a planar, plectrum-shaped , though rounder than the one swept by its parent confocal family.
Edit intent: clarity
Original:  The associated planar curve in log cosine space is also plectrum-shaped , though rounder than the one swept by its parent confocal family.
Revised:  The associated planar curve in log cosine space is also plectrum-shaped curve, rounder than the one swept by its parent confocal family.
Edit intent: clarity
Original:  A survey of the most relevant technologies and Information Systems  used by the Port Communities for their businesses is discussed together with a detailed analysis of the on-going actions carried on by Standard Setting Organizations.
Revised:  How the most relevant technologies and Information Systems used by the Port Communities for their businesses is discussed together with a detailed analysis of the on-going actions carried on by Standard Setting Organizations.
Edit intent: clarity
Original:  A survey of the most relevant technologies and Information Systems  used by the Port Communities for their businesses is discussed together with a detailed analysis of the on-going actions carried on by Standard Setting Organizations.
Revised:  A survey of the most relevant technologies and Information Systems are used by the Port Communities for their businesses is discussed together with a detailed analysis of the on-going actions carried on by Standard Setting Organizations.
Edit intent: clarity
Original:  Considering the examples given by the C-ITS Platform and the C-Roads programme at EU level, a proposal of contents to be considered in a comprehensive standardization action is proposed .
Revised:  Considering the examples given by the C-ITS Platform and the C-Roads programme at EU level, a proposal of contents to be considered in a comprehensive standardization action is given .
Edit intent: clarity
Original:  The innovation services are therefore grouped into four bundles: (i) Vessel  Marine Navigation, (ii) e-Freight  (Intermodal) Logistics, (iii) Passenger Transport, (iv) Environmental control.
Revised:  The innovation services are therefore grouped into four bundles: (i) Vessel \& Marine Navigation, (ii) e-Freight (Intermodal) Logistics, (iii) Passenger Transport, (iv) Environmental control.
Edit intent: fluency
Original:  The innovation services are therefore grouped into four bundles: (i) Vessel  Marine Navigation, (ii) e-Freight  (Intermodal) Logistics, (iii) Passenger Transport, (iv) Environmental control.
Revised:  The innovation services are therefore grouped into four bundles: (i) Vessel Marine Navigation, (ii) e-Freight \& (Intermodal) Logistics, (iii) Passenger Transport, (iv) Environmental control.
Edit intent: fluency
Original:  Here, we document a novel configuration of technologies and organizational forms used to manipulate Twitter trends in the 2019 Indian general election .
Revised:  In the 2019 Indian general election .
Edit intent: clarity
Original:  To investigate the campaigns, we joined more than 600 political WhatsApp groups that support the Bharatiya Janata Party, the right-wing party that won the general election  .
Revised:  To investigate the campaigns, we joined more than 600 WhatsApp groups that support the Bharatiya Janata Party, the right-wing party that won the general election .
Edit intent: clarity
Original:  We found direct evidence of 75 hashtag manipulation campaigns , including mobilization messages and lists of pre-written tweets.
Revised:  We found evidence of 75 hashtag manipulation campaigns , including mobilization messages and lists of pre-written tweets.
Edit intent: clarity
Original:  We found direct evidence of 75 hashtag manipulation campaigns , including mobilization messages and lists of pre-written tweets.
Revised:  We found direct evidence of 75 hashtag manipulation campaigns in the form of mobilization messages with lists of pre-written tweets.
Edit intent: clarity
Original:  We estimate the campaigns' size and whether they succeeded in creating controlled social media narratives.
Revised:  Building on this evidence, we estimate the campaigns' size and whether they succeeded in creating controlled social media narratives.
Edit intent: clarity
Original:  We show that the campaigns are smaller than what media reports suggest;
Revised:  Our findings show that the campaigns are smaller than what media reports suggest;
Edit intent: clarity
Original:  Using spectral techniques, we provide a complete description of the dynamics of EnKI and their asymptotic behavior in parameter space.
Revised:  Using spectral techniques, we provide a complete description of the dynamics of EKI and their asymptotic behavior in parameter space.
Edit intent: fluency
Original:  In particular, we analyze  dynamics of deterministic EKI , averaged quantities of stochastic EKI, and mean-field EKI.
Revised:  In particular, we analyze the dynamics of deterministic EKI , averaged quantities of stochastic EKI, and mean-field EKI.
Edit intent: fluency
Original:  In particular, we analyze  dynamics of deterministic EKI , averaged quantities of stochastic EKI, and mean-field EKI.
Revised:  In particular, we analyze dynamics of deterministic EKI and mean-field EKI.
Edit intent: clarity
Original:  We show that in the linear Gaussian regime, the Bayesian posterior can only be recovered with the mean-field limit and not with finite sample sizes or deterministic EKI.
Revised:  We demonstrate that the Bayesian posterior can only be recovered with the mean-field limit and not with finite sample sizes or deterministic EKI.
Edit intent: clarity
Original:  Although, proposed method, similar to Pohlig-Hellman reduces the problem to group of orders p_i for each prime factor and hence in worst case scenario (  when p=2q+1 , q being another prime) order of run time remains the same.
Revised:  Although, proposed method, similar to Pohlig-Hellman reduces the problem to group of orders p_i for each prime factor and hence in worst case scenario ( including when p=2q+1 , q being another prime) order of run time remains the same.
Edit intent: clarity
Original:  However in proposed method, as there is no requirement of combining the result using Chinese Remainder Theorem and do  other associated work ,run times are much faster.
Revised:  However in proposed method, as there is no requirement of combining the result using Chinese Remainder Theorem and do the other associated work ,run times are much faster.
Edit intent: fluency
Original:  Woeginger claimed to prove (in [Woe97] ) that the problem has no APTAS for dimensions greater than  2.
Revised:  Woeginger [Woe97] ) that the problem has no APTAS for dimensions greater than 2.
Edit intent: clarity
Original:  Woeginger claimed to prove (in [Woe97] ) that the problem has no APTAS for dimensions greater than  2.
Revised:  Woeginger claimed to prove (in [Woe97] claimed that the problem has no APTAS for dimensions greater than 2.
Edit intent: fluency
Original:  Finally, we extract utterance embeddings from the clustering model and plot the data to interactively bulk label the data , reducing the time and effort for data labeling of the whole dataset significantly.
Revised:  Finally, we extract utterance embeddings from the clustering model and plot the data to interactively bulk label the samples , reducing the time and effort for data labeling of the whole dataset significantly.
Edit intent: clarity
Original:  In this work  we develop a filtering algorithm  based on topological persistence , a technique used in topological data analysis  .
Revised:  In this work , we develop a filtering algorithm based on topological persistence , a technique used in topological data analysis .
Edit intent: fluency
Original:  In this work  we develop a filtering algorithm  based on topological persistence , a technique used in topological data analysis  .
Revised:  In this work we develop a filtering algorithm based on topological persistence ( a technique used in topological data analysis .
Edit intent: fluency
Original:  One problem faced when evaluating filtering algorithms is that real image data in general are not equipped with the ' ground truth' information about the microstructure characteristics.
Revised:  One problem faced when evaluating filtering algorithms is that real image data in general are not equipped with the ` ground truth' information about the microstructure characteristics.
Edit intent: fluency
Original:  One problem faced when evaluating filtering algorithms is that real image data in general are not equipped with the ' ground truth' information about the microstructure characteristics.
Revised:  One problem faced when evaluating filtering algorithms is that real image data in general are not equipped with the ' ground truth' for the microstructure characteristics.
Edit intent: clarity
Original:  For this study, we construct synthetic images for which the ground truth values are known.
Revised:  For this study, we construct synthetic images for which the ground-truth values are known.
Edit intent: fluency
Original:  Specifically , we compare interconnected pore tortuosity and phase fraction.
Revised:  Specifically , we compare the pore tortuosity and phase fraction.
Edit intent: fluency
Original:  Experimental results show that our filtering algorithm provides a significant improvement in reproducing tortuosity close to the ground truth, even when the grey-scale values of the phases are similar .
Revised:  Experimental results show that our filtering algorithm provides a significant improvement in segmentation quality .
Edit intent: clarity
Original:  We show that it simultaneously achieves the asymptotically optimal space usage  for a wide range of distributions over tree shapes, including:
Revised:  We show that they simultaneously achieve the optimal space usage for a wide range of distributions over tree shapes, including:
Edit intent: clarity
Original:  random binary search trees (BSTs)
Revised:  binary search trees (BSTs)
Edit intent: fluency
Original:  This is in part due to the lack of a unified eccentricity-dependent spatio-temporal model of the visual system.
Revised:  This is in part due to limitations of current eccentricity-dependent spatio-temporal model of the visual system.
Edit intent: clarity
Original:  This is in part due to the lack of a unified eccentricity-dependent spatio-temporal model of the visual system.
Revised:  This is in part due to the lack of a unified eccentricity-dependent models of the visual system.
Edit intent: clarity
Original:  Here, we introduce the first such model, experimentally measuring and computationally fitting a model of critical flicker fusion  .
Revised:  We introduce a new model, experimentally measuring and computationally fitting a model of critical flicker fusion .
Edit intent: clarity
Original:  The nonlinear eigenproblem arises from a frequency-dependent perfectly matched layer and is solved using a contour integral eigensolver.
Edit intent: coherence
Original:   Even when employing up to one million degrees of freedom, the fiber model appears to remain in a preasymptotic regime where computed confinement loss values are likely to be off by orders of magnitude.
Revised:  Even when employing over one million degrees of freedom, the fiber model appears to remain in a preasymptotic regime where computed confinement loss values are likely to be off by orders of magnitude.
Edit intent: clarity
Original:  This and other difficulties in computing mode losses, together with some techniques to overcome them, are detailed.
Revised:  Other difficulties in computing mode losses, together with some techniques to overcome them, are detailed.
Edit intent: clarity
Original:  This and other difficulties in computing mode losses, together with some techniques to overcome them, are detailed.
Revised:  This and other difficulties in computing mode losses, together with practical techniques to overcome them, are detailed.
Edit intent: clarity
Original: Sampling-based model predictive control (MPC) is a promising tool for feedback control of robots with complex and non-smooth dynamics  and cost functions.
Revised: Sampling-based model-predictive control (MPC) is a promising tool for feedback control of robots with complex and non-smooth dynamics and cost functions.
Edit intent: fluency
Original: Sampling-based model predictive control (MPC) is a promising tool for feedback control of robots with complex and non-smooth dynamics  and cost functions.
Revised: Sampling-based model predictive control (MPC) is a promising tool for feedback control of robots with complex , non-smooth dynamics and cost functions.
Edit intent: fluency
Original: Sampling-based model predictive control (MPC) is a promising tool for feedback control of robots with complex and non-smooth dynamics  and cost functions.
Revised: Sampling-based model predictive control (MPC) is a promising tool for feedback control of robots with complex and non-smooth dynamics , and cost functions.
Edit intent: fluency
Original:  The computationally demanding nature of sampling-based MPC algorithms is a key bottleneck in their application to high-dimensional robotic manipulation problems  . Previous methods have addressed this issue by running MPC in the task space while relying on a low-level operational space controller for joint control.
Revised:  However, the computationally demanding nature of sampling-based MPC algorithms is a key bottleneck in their application to high-dimensional robotic manipulation problems . Previous methods have addressed this issue by running MPC in the task space while relying on a low-level operational space controller for joint control.
Edit intent: coherence
Original:  The computationally demanding nature of sampling-based MPC algorithms is a key bottleneck in their application to high-dimensional robotic manipulation problems  . Previous methods have addressed this issue by running MPC in the task space while relying on a low-level operational space controller for joint control.
Revised:  The computationally demanding nature of sampling-based MPC algorithms has been a key bottleneck in their application to high-dimensional robotic manipulation problems . Previous methods have addressed this issue by running MPC in the task space while relying on a low-level operational space controller for joint control.
Edit intent: fluency