wanyu/IteraTeR_v2 huggingface dataset:
Original:  The output of our algorithm consists of planar quadrilateral (PQ) strips  aligned to principal curvature directions and closely approximating the curved parts of the input developable, along with planar polygons representing the flat parts of the input.
Revised:  The output of our algorithm consists of planar quadrilateral (PQ) strips that are aligned to principal curvature directions and closely approximating the curved parts of the input developable, along with planar polygons representing the flat parts of the input.
Edit intent: clarity
Original:  The output of our algorithm consists of planar quadrilateral (PQ) strips  aligned to principal curvature directions and closely approximating the curved parts of the input developable, along with planar polygons representing the flat parts of the input.
Revised:  The output of our algorithm consists of planar quadrilateral (PQ) strips aligned to principal curvature directions and closely approximate the curved parts of the input developable, along with planar polygons representing the flat parts of the input.
Edit intent: fluency
Original:  The output of our algorithm consists of planar quadrilateral (PQ) strips  aligned to principal curvature directions and closely approximating the curved parts of the input developable, along with planar polygons representing the flat parts of the input.
Revised:  The output of our algorithm consists of planar quadrilateral (PQ) strips aligned to principal curvature directions and closely approximating the curved parts of the input developable, and planar polygons representing the flat parts of the input.
Edit intent: coherence
Original:  Such developable PQ-strip meshes are useful in many areas of shape modeling  thanks to the simplicity of fabrication from flat sheet material.
Revised:  Developable PQ-strip meshes are useful in many areas of shape modeling thanks to the simplicity of fabrication from flat sheet material.
Edit intent: coherence
Original:  Such developable PQ-strip meshes are useful in many areas of shape modeling  thanks to the simplicity of fabrication from flat sheet material.
Revised:  Such developable PQ-strip meshes are useful in many areas of shape modeling , thanks to the simplicity of fabrication from flat sheet material.
Edit intent: fluency
Original:  However , they are difficult to use in the modeling phase due to their restrictive combinatorics and locking issues.
Revised:  Unfortunately , they are difficult to use in the modeling phase due to their restrictive combinatorics and locking issues.
Edit intent: fluency
Original:  However , they are difficult to use in the modeling phase due to their restrictive combinatorics and locking issues.
Revised:  However , they are difficult to model due to their restrictive combinatorics and locking issues.
Edit intent: coherence
Original:  Other representations of developable surfaces, such as arbitrary triangle or quad meshes, are more suitable for interactive freeform modeling  but generally have non-planar faces or are not aligned to principal curvature .
Revised:  Other representations of developable surfaces, such as arbitrary triangle or quad meshes, are more suitable for interactive freeform modeling , but generally have non-planar faces or are not aligned to principal curvature .
Edit intent: fluency
Original:  Other representations of developable surfaces, such as arbitrary triangle or quad meshes, are more suitable for interactive freeform modeling  but generally have non-planar faces or are not aligned to principal curvature .
Revised:  Other representations of developable surfaces, such as arbitrary triangle or quad meshes, are more suitable for interactive freeform modeling but generally have non-planar faces or are not aligned to principal curvatures .
Edit intent: fluency
Original:  Our method enables one to leverage the modeling flexibility of non-ruling based representations of developable surfaces but still obtain developable, curvature-aligned PQ-strip meshes.
Revised:  Our method leverages the modeling flexibility of non-ruling based representations of developable surfaces but still obtain developable, curvature-aligned PQ-strip meshes.
Edit intent: clarity
Original:  Our method enables one to leverage the modeling flexibility of non-ruling based representations of developable surfaces but still obtain developable, curvature-aligned PQ-strip meshes.
Revised:  Our method enables one to leverage the modeling flexibility of non-ruling based representations of developable surfaces , while still obtaining developable, curvature aligned PQ-strip meshes.
Edit intent: fluency
Original:  Our algorithm optimizes  a scalar function on the input mesh, such that its level sets are  straight and align well to the locally estimated ruling directions.
Revised:  Our algorithm optimizes for a scalar function on the input mesh, such that its level sets are straight and align well to the locally estimated ruling directions.
Edit intent: clarity
Original: Detecting attitudes expressed in texts, also known as stance detection, has become an important task for the detection of false information online, be it misinformation (unintentionally false) or disinformation (intentionally false, spread deliberately with malicious intent).
Revised: Understanding the attitudes expressed in texts, also known as stance detection, has become an important task for the detection of false information online, be it misinformation (unintentionally false) or disinformation (intentionally false, spread deliberately with malicious intent).
Edit intent: clarity
Original: Detecting attitudes expressed in texts, also known as stance detection, has become an important task for the detection of false information online, be it misinformation (unintentionally false) or disinformation (intentionally false, spread deliberately with malicious intent).
Revised: Detecting attitudes expressed in texts, also known as stance detection, plays an important role in systems aiming to detect false information online, be it misinformation (unintentionally false) or disinformation (intentionally false, spread deliberately with malicious intent).
Edit intent: clarity
Original:  Stance detection has been framed in different ways , including: (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims ;
Revised:  Stance detection has been framed in different ways in the literature, including (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims ;
Edit intent: clarity
Original:  Stance detection has been framed in different ways , including: (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims ;
Revised:  Stance detection has been framed in different ways , including: (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims ,
Edit intent: fluency
Original:  or (b) as a task in its own right  .
Revised:  or (b) as a task in its own right ; and here we look at both .
Edit intent: coherence
Original:  While there have been prior efforts to contrast stance detection with other related social media tasks such as argumentation mining and sentiment analysis, there is no survey examining the relationship between stance detection detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Revised:  While there have been prior efforts to contrast stance detection with other related tasks such as argumentation mining and sentiment analysis, there is no survey examining the relationship between stance detection detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Edit intent: clarity
Original:  While there have been prior efforts to contrast stance detection with other related social media tasks such as argumentation mining and sentiment analysis, there is no survey examining the relationship between stance detection detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Revised:  While there have been prior efforts to contrast stance detection with other related social media tasks such as argumentation mining and sentiment analysis, there has been no survey examining the relationship between stance detection detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Edit intent: coherence
Original:  While there have been prior efforts to contrast stance detection with other related social media tasks such as argumentation mining and sentiment analysis, there is no survey examining the relationship between stance detection detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Revised:  While there have been prior efforts to contrast stance detection with other related social media tasks such as argumentation mining and sentiment analysis, there is no survey examining the relationship between stance detection and mis- and disinformation detection from a holistic viewpoint, which is the focus of this survey.
Edit intent: clarity
Original: This paper presents an expert decision support system for time-invariant aeroacoustic source classification .
Revised: This paper presents an Expert Decision Support System for the identification of time-invariant aeroacoustic source classification .
Edit intent: clarity
Original: This paper presents an expert decision support system for time-invariant aeroacoustic source classification .
Revised: This paper presents an expert decision support system for time-invariant , aeroacoustic source types .
Edit intent: clarity
Original:  The system comprises two steps: first, the calculation of acoustic properties based on spectral and spatial information ;
Revised:  The system comprises two steps: first, acoustic properties are calculated based on spectral and spatial information ;
Edit intent: clarity
Original:  A variety of aeroacoustic features are proposed that capture the characteristics and properties of the spectra .
Revised:  A variety of features are proposed that capture the characteristics and properties of the spectra .
Edit intent: clarity
Original:  A variety of aeroacoustic features are proposed that capture the characteristics and properties of the spectra .
Revised:  A variety of aeroacoustic features are proposed for capturing the characteristics of the sources .
Edit intent: clarity
Original:  These features represent aeroacoustic properties that can be interpreted by both the machine and  experts.
Revised:  These features represent aeroacoustic properties that can be interpreted by both the machine and by experts.
Edit intent: fluency
Original:  This enables the proposed method to analyze data which is measured at different flow configurations.
Revised:  This enables the proposed method to cluster data measured at different flow configurations.
Edit intent: clarity
Original:  For the given example data, the  method results in source type clusters that correspond to human expert classification of the source types . Combined with a classification confidence and the mean feature values  for each cluster , these clusters help aeroacoustic experts in classifying the identified sources and support them in analyzing their typical behavior and identifying spurious sources in-situ during measurement campaigns .
Revised:  For the given example data, the method results in clusters that mostly correspond to the source types . Combined with a classification confidence and the mean feature values for each cluster , these clusters help aeroacoustic experts in classifying the identified sources and support them in analyzing their typical behavior and identifying spurious sources in-situ during measurement campaigns .
Edit intent: clarity
Original:  We propose a modified UKI, which allows to well approximate the mean and covariance of the posterior distribution with an uninformative prior for identifiable ( well-posed ) inverse problems .
Revised:  We propose a modified UKI, which allows to well approximate the mean and covariance of the posterior distribution for well-posed ) inverse problems .
Edit intent: clarity
Original:  In this paper, we set forth the discussion of extending the random field LIBOR market model (RFLMM) to the cross-currency setting.
Revised:  In this paper, we set forth the discussion of extending the random field LIBOR market model to price cross-currency setting.
Edit intent: clarity
Original:  We assume that forward LIBOR rates of the domestics and foreign economies are lognormal and derive an approximate closed-form pricing solution for a Quanto cap written on a foreign forward LIBOR rate .
Revised:  We assume that forward LIBOR rates of the domestics and foreign economies are lognormal and derive an approximate closed-form pricing formula for Quanto caps and cross-currency swaps .
Edit intent: clarity
Original:  We firstly done that the original equation is reformulated into a new form with a modified quadratic energyby the scalar auxiliary variable approach .
Revised:  Based on the idea of the scalar auxiliary variable approach, the original equation is reformulated into a new form with a modified quadratic energyby the scalar auxiliary variable approach .
Edit intent: clarity
Original:  We firstly done that the original equation is reformulated into a new form with a modified quadratic energyby the scalar auxiliary variable approach .
Revised:  We firstly done that the original equation is first reformulated into an equivalent form which satisfies a quadratic energy .
Edit intent: clarity
Original:  Subsequently, we apply the extrapolation technique  to the nonlinear term of the semi-discretized system and a linearized  system is obtained.
Revised:  Subsequently, we apply the extrapolation technique to the nonlinear terms of the semi-discretized system and a linearized system is obtained.
Edit intent: fluency
Original:  Based on the Lawson transformation, the linearized system is rewritten as an equivalent one and we further apply the symplectic Runge-Kutta method to the resulting system to gain a fully discrete scheme .
Revised:  A fully discrete scheme is gained by further using the integrating factor Runge-Kutta method to the resulting system to gain a fully discrete scheme .
Edit intent: clarity
Original:  Based on the Lawson transformation, the linearized system is rewritten as an equivalent one and we further apply the symplectic Runge-Kutta method to the resulting system to gain a fully discrete scheme .
Revised:  Based on the Lawson transformation, the linearized system is rewritten as an equivalent one and we further apply the symplectic Runge-Kutta method to the resulting system .
Edit intent: coherence
Original:  Numerical results are addressed to demonstrate the remarkable superiority of the proposed schemes in comparison with other high-order structure-preserving method .
Revised:  Numerical results are addressed to demonstrate the remarkable superiority of the proposed schemes in comparison with other existing structure-preserving method .
Edit intent: clarity
Original:  Numerical results are addressed to demonstrate the remarkable superiority of the proposed schemes in comparison with other high-order structure-preserving method .
Revised:  Numerical results are addressed to demonstrate the remarkable superiority of the proposed schemes in comparison with other high-order structure-preserving schemes .
Edit intent: clarity
Original:  Experimental evaluations on a variety of benchmark datasets show that the proposed method significantly reduces recognition errors and emission latency simultaneously , especially for long-form and noisy speech .
Revised:  Experimental evaluations on a variety of benchmark datasets show that the proposed method significantly reduces recognition errors and emission latency simultaneously . The robustness to long-form and noisy speech .
Edit intent: coherence
Original:  The best MoChA system shows performance comparable to that of RNN-transducer (RNN-T)  .
Revised:  The best MoChA system shows recognition accuracy comparable to that of RNN-transducer (RNN-T) .
Edit intent: clarity
Original:  It comprises a portable device used to interact with a cloud service which stores user information under username and is logged into by  user through the portable device;
Revised:  It comprises a portable device used to interact with a cloud service which stores user information under username and is logged into by the user through the portable device;
Edit intent: fluency
Original:  and the tridimensional user information comprises user cognitive reactions, user emotional responses and user chronometrics.
Revised:  and this tridimensional information comprises user cognitive reactions, user emotional responses and user chronometrics.
Edit intent: clarity
Original: In this work, we propose to efficently solve time dependent parametrized optimal control problems governed by parabolic partial differential equations through the certified reduced basis method.
Revised: In this work, we propose to efficiently solve time dependent parametrized optimal control problems governed by parabolic partial differential equations through the certified reduced basis method.
Edit intent: fluency
Original:  Unfortunately, the data structure of Gawrychowski et al. has no efficient construction algorithm, which apparently prevents its wide usage .
Revised:  Unfortunately, the data structure of Gawrychowski et al. has no efficient construction algorithm, limiting its wider usage as an algorithmic tool .
Edit intent: clarity
Original:  In this paper we resolve this issue  describing a data structure for weighted ancestors in suffix trees with constant query time and a linear construction algorithm.
Revised:  In this paper we resolve this issue , describing a data structure for weighted ancestors in suffix trees with constant query time and a linear construction algorithm.
Edit intent: fluency
Original:  Previous location embedding methods are mostly tailored for specific problems that are taken place within areas of interest.
Revised:  Existing location embedding methods are mostly tailored for specific problems that are taken place within areas of interest.
Edit intent: fluency
Original:  When it comes to the scale of the entire cities , existing approaches always suffer from extensive computational cost and signigicant information loss.
Revised:  When it comes to the scale of a city or even a country , existing approaches always suffer from extensive computational cost and signigicant information loss.
Edit intent: clarity
Original:  By doing so, GCN-L2V is able to capture relationships among locations and provide a better notion of semantic similarity in a spatial environment.
Revised:  By doing so, GCN-L2V is able to capture relationships among locations and provide a better notion of similarity in a spatial environment.
Edit intent: clarity
Original:  Across quantitative experiments and case studies, we empirically demonstrate that the representations learned by GCN-L2V are effective.
Revised:  Across quantitative experiments and case studies, we empirically demonstrate that representations learned by GCN-L2V are effective.
Edit intent: fluency
Original:   GCN-L2V  can be applied in a complementary manner to other place embedding methods and down-streaming Geo-aware applications.
Revised:  GCN-L2V can be applied in down-streaming Geo-aware applications.
Edit intent: clarity
Original:  This paper provides a comprehensive review and detailed analysis of existing tools and machine learning (ML) based approaches for deepfake generation and the methodologies used to detect such manipulations for the detection and generation of both audio and video deepfakes.
Revised:  This paper provides a comprehensive review and detailed analysis of existing tools and machine learning (ML) based approaches for deepfake generation and the methodologies used to detect such manipulations for both audio and video deepfakes.
Edit intent: coherence
Original:  This paper provides a comprehensive review and detailed analysis of existing tools and machine learning (ML) based approaches for deepfake generation and the methodologies used to detect such manipulations for the detection and generation of both audio and video deepfakes.
Revised:  This paper provides a comprehensive review and detailed analysis of existing tools and machine learning (ML) based approaches for deepfake generation and the methodologies used to detect such manipulations for the detection and generation of both audio and visual deepfakes.
Edit intent: clarity
Original:  Additionally, we also discuss open challenges and enumerate future directions to guide future researchers on issues that need to be considered to improve the domains of both the deepfake generation and detection.
Revised:  Additionally, we also discuss open challenges and enumerate future directions to guide future researchers on issues that need to be considered to improve the domains of both deepfake generation and detection.
Edit intent: fluency
Original:  This work is expected to assist the readers in understanding the creation and detection mechanisms of deepfake , along with their current limitations and future direction.
Revised:  This work is expected to assist the readers in understanding the creation and detection mechanisms of deepfakes , along with their current limitations and future direction.
Edit intent: fluency
Original:  We use hierarchical variational inference to jointly detect block-structures and differentiate the communities' local signals from global noise.
Revised:  We use hierarchical variational inference to jointly detect and typologize block-structures as local signals or global noise.
Edit intent: clarity
Original: We introduce a novel class of stochastic blockmodel for multilayer weighted networks that accounts for the presence of a global ambient noise that governs between-block interactions.
Revised: We introduce a novel class of stochastic blockmodel for multilayer weighted networks that accounts for the presence of a global ambient noise governing between-block interactions.
Edit intent: fluency
Original:  We focus on the Philadelphia Neurodevelopmental Cohort to discover communities of subjects that form diagnostic categories relating psychopathological symptoms to psychosis.
Revised:  We focus on the Philadelphia Neurodevelopmental Cohort to discover communities of subjects with similar psychopathological symptoms in relation to psychosis.
Edit intent: clarity
Original: One of the most significant differences of M5 over previous forecasting competitions is that it was held on Kaggle, an online community of data scientists and machine learning practitioners.
Revised: One of the most significant differences of M5 over previous forecasting competitions is that it was held on Kaggle, an online platform of data scientists and machine learning practitioners.
Edit intent: clarity
Original:  On the Kaggle platform, people can form virtual communities such as online notebooks and discussions to discuss their models, choice of features, loss functions, etc.
Revised:  Kaggle provides a gathering place, or virtual community, for web users who are interested in the M5 competition. Users can share code, models, features, loss functions, etc.
Edit intent: clarity
Original:  We first study the content of the M5 virtual community by topic modeling and trend analysis.
Revised:  We first research the content of the M5 virtual community by topic modeling and trend analysis.
Edit intent: clarity
Original:  We find some key roles in the network and study their roles in spreading the LightGBM related information within the network .
Revised:  We study the roles and characteristics of some key participants that promote the diffusion of information within the network .
Edit intent: clarity