wanyu/IteraTeR_v2 huggingface dataset:
Original:  This formal analysis, the first to take the spatial structure of a population into account, allows us to consider empirically important factors , including demographic skew and communication scale , that likely influence overall patterns of adoption .
Revised:  We investigate how identity signaling influences overall patterns of adoption in structured populations, and consider the role of structural factors such as demographic skew and communication scale , that likely influence overall patterns of adoption .
Edit intent: clarity
Original:  This formal analysis, the first to take the spatial structure of a population into account, allows us to consider empirically important factors , including demographic skew and communication scale , that likely influence overall patterns of adoption .
Revised:  This formal analysis, the first to take the spatial structure of a population into account, allows us to consider empirically important factors , including demographic skew and communication scale on diffusion dynamics .
Edit intent: clarity
Original: Social identities are among the key factors driving social behavior in complex societies.
Revised: Social identities are among the key factors driving behavior in complex societies.
Edit intent: fluency
Original:  Recent attention to social identity in consumer behavior indicates that individuals avoid products that might signal membership in an outgroup .
Revised:  Signals of social identity are known to influence individual behaviors in the adoption of innovations .
Edit intent: clarity
Original:  Whereas previous work has focused on asymmetric attraction and repulsion among groups with different social identities, here we consider the spread of innovations in a structured population in which there are multiple groups who don't want to be mistaken for one another, using both analytical and agent-based modeling .
Revised:  Here we use both analytical and agent-based modeling to consider the spread of innovations in a structured population in which there are multiple groups who don't want to be mistaken for one another, using both analytical and agent-based modeling .
Edit intent: clarity
Original:  Whereas previous work has focused on asymmetric attraction and repulsion among groups with different social identities, here we consider the spread of innovations in a structured population in which there are multiple groups who don't want to be mistaken for one another, using both analytical and agent-based modeling .
Revised:  Whereas previous work has focused on asymmetric attraction and repulsion among groups with different social identities, here we consider the spread of a beneficial innovation in a structured population in which there are multiple groups who don't want to be mistaken for one another, using both analytical and agent-based modeling .
Edit intent: clarity
Original:  Whereas previous work has focused on asymmetric attraction and repulsion among groups with different social identities, here we consider the spread of innovations in a structured population in which there are multiple groups who don't want to be mistaken for one another, using both analytical and agent-based modeling .
Revised:  Whereas previous work has focused on asymmetric attraction and repulsion among groups with different social identities, here we consider the spread of innovations in a structured population in which there exist two groups who are averse to being mistaken for each other .
Edit intent: clarity
Original:  We investigate how identity signaling influences overall patterns of adoption in structured populations, and consider the role of structural factors such as demographic skew and communication scale on diffusion dynamics .
Revised:  We investigate the dynamics of adoption and consider the role of structural factors such as demographic skew and communication scale on diffusion dynamics .
Edit intent: clarity
Original:  We investigate how identity signaling influences overall patterns of adoption in structured populations, and consider the role of structural factors such as demographic skew and communication scale on diffusion dynamics .
Revised:  We investigate how identity signaling influences overall patterns of adoption in structured populations, and consider the role of structural factors such as demographic skew and communication scale on population-level outcomes .
Edit intent: clarity
Original:  This research has particular relevance to widely beneficial but identity-relevant products  , such as green technologies, where overall levels of adoption determine the positive benefits that accrue to society at large.
Revised:  This research has particular relevance to widely beneficial but identity-relevant products and behaviors , such as green technologies, where overall levels of adoption determine the positive benefits that accrue to society at large.
Edit intent: clarity
Original:  Comparing our two models, we find that differential adoption can arise due to structural constraints on information flow even in the absence of intrinsic between-group differences in adoption rates.
Revised:  Comparing the two models, we find that differential adoption can arise due to structural constraints on information flow even in the absence of intrinsic between-group differences in adoption rates.
Edit intent: fluency
Original: We consider the task of generative dialogue modeling for movie scripts.
Revised: We investigate the task of generative dialogue modeling for movie scripts.
Edit intent: clarity
Original:  To this end , we extend the recently proposed hierarchical recurrent encoder decoder neural network and demonstrate that this model is competitive with state-of-the-art neural language models and backoff n-gram models.
Revised:  To this end , we extend the recently proposed hierarchical recurrent encoder decoder neural network and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models.
Edit intent: fluency
Original:  We show that its performance can be improved considerably by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.
Revised:  We show that its performance can be improved by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.
Edit intent: clarity
Original: This paper introduces differential hybrid games, which combine differential games with hybrid games.
Revised: This article introduces differential hybrid games, which combine differential games with hybrid games.
Edit intent: fluency
Original:  This paper augments differential game logic with modalities for the combined dynamics of differential hybrid games.
Revised:  This article augments differential game logic with modalities for the combined dynamics of differential hybrid games.
Edit intent: fluency
Original:  We present the main challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of official lexicographical orders.
Revised:  We present the fundamental challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of official lexicographical orders.
Edit intent: clarity
Original: The paper suggests a family of paired comparison-based scoring procedures using linear algebra for ranking the participants of a Swiss system chess team tournament.
Revised: The paper suggests a family of paired comparison-based scoring procedures for ranking the participants of a Swiss system chess team tournament.
Edit intent: clarity
Original:  We present the fundamental challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of official lexicographical orders .
Revised:  We present the challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of official lexicographical orders .
Edit intent: clarity
Original:  We present the fundamental challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of official lexicographical orders .
Revised:  We present the fundamental challenges of ranking in Swiss system, the features of individual and team competitions as well as the failures of the official rankings based on lexicographical order .
Edit intent: clarity
Original:  The tournament is represented as a ranking problem , our model is discussed with respect to the properties of the score , generalized row sum  and least squares methods , all of them obtained by solving a certain linear system of equations.
Revised:  The tournament is represented as a ranking problem such that the linearly-solvable row sum (score) , generalized row sum and least squares methods , all of them obtained by solving a certain linear system of equations.
Edit intent: clarity
Original:  The tournament is represented as a ranking problem , our model is discussed with respect to the properties of the score , generalized row sum  and least squares methods , all of them obtained by solving a certain linear system of equations.
Revised:  The tournament is represented as a ranking problem , our model is discussed with respect to the properties of the score , generalized row sum , and least squares methods , all of them obtained by solving a certain linear system of equations.
Edit intent: fluency
Original:  A case study given by the two recent chess team European championships is analysed in detail .
Revised:  A case study given by the two recent chess team European championships are analysed as case studies .
Edit intent: clarity
Original:  Differences to  official ranking are revealed by the decomposition of  least squares method.
Revised:  Differences to the official ranking are revealed by the decomposition of least squares method.
Edit intent: fluency
Original:  Differences to  official ranking are revealed by the decomposition of  least squares method.
Revised:  Differences to official ranking are revealed by the decomposition of the least squares method.
Edit intent: fluency
Original:  Rankings are evaluated by prediction accuracy , retrodictive performance, and stability.
Revised:  Rankings are evaluated by prediction power , retrodictive performance, and stability.
Edit intent: clarity
Original: The aim of the paper  to answer a long-standing open problem on the relationship between NP and BQP.
Revised: The aim of the paper is to answer a long-standing open problem on the relationship between NP and BQP.
Edit intent: fluency
Original:  We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures---"caloric balance"---are all strong correlates with health and well-being demographics for the contiguous United States.
Revised:  We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures are all strong correlates with health and well-being demographics for the contiguous United States.
Edit intent: clarity
Original:  We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures---"caloric balance"---are all strong correlates with health and well-being demographics for the contiguous United States.
Revised:  We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures---"caloric balance"---are all strong correlates with health and well-being measures for the contiguous United States.
Edit intent: clarity
Original:  Our caloric balance measure  outperforms both its constituent quantities, is tunable to specific demographic measures such as diabetes rates, provides a real-time signal reflecting a population's health, and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness.
Revised:  Our caloric balance measure outperforms both its constituent quantities, is tunable to specific health and well-being measures such as diabetes rates, provides a real-time signal reflecting a population's health, and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness.
Edit intent: clarity
Original:  Our caloric balance measure  outperforms both its constituent quantities, is tunable to specific demographic measures such as diabetes rates, provides a real-time signal reflecting a population's health, and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness.
Revised:  Our caloric balance measure outperforms both its constituent quantities, is tunable to specific demographic measures such as diabetes rates, has the capability of providing a real-time signal reflecting a population's health, and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness.
Edit intent: clarity
Original:  Our contributions include: 1.) conducting a user study demonstrating this observation, 2.) providing a dataset with user tag preferences explicitly collected.
Revised:  Our contributions include: 1.) conducting a user study demonstrating this observation, 2.) collecting a dataset with user tag preferences explicitly collected.
Edit intent: clarity
Original: Good parametrisation of affine transformations is essential to interpolation, deformation  and analysis of shapes and animation.
Revised: Good parametrisations of affine transformations is essential to interpolation, deformation and analysis of shapes and animation.
Edit intent: fluency
Original: Good parametrisation of affine transformations is essential to interpolation, deformation  and analysis of shapes and animation.
Revised: Good parametrisation of affine transformations are essential to interpolation, deformation and analysis of shapes and animation.
Edit intent: fluency
Original: Good parametrisation of affine transformations is essential to interpolation, deformation  and analysis of shapes and animation.
Revised: Good parametrisation of affine transformations is essential to interpolation, deformation , and analysis of shapes and animation.
Edit intent: fluency
Original: Good parametrisation of affine transformations is essential to interpolation, deformation  and analysis of shapes and animation.
Revised: Good parametrisation of affine transformations is essential to interpolation, deformation and analysis of shape, motion, and animation.
Edit intent: clarity
Original:  In this paper, we propose a novel parametrisation of affine transformation , which is a generalisation to or an improvement of some existing methods.
Revised:  In this paper, we propose a novel parametrisation of affine transformations , which is a generalisation to or an improvement of some existing methods.
Edit intent: fluency
Original:  In this paper, we propose a novel parametrisation of affine transformation , which is a generalisation to or an improvement of some existing methods.
Revised:  In this paper, we propose a novel parametrisation of affine transformation , which is a generalisation to or an improvement of existing methods.
Edit intent: clarity
Original:  Our method adds yet another choice to  existing toolbox and shows better performance in some applications.
Revised:  Our method adds yet another choice to the existing toolbox and shows better performance in some applications.
Edit intent: fluency
Original: The role of interactions in shaping the interplay between the stability of an ecosystem and its biodiversity is still not well understood.
Revised: The role of species interactions in controlling the interplay between the stability of an ecosystem and its biodiversity is still not well understood.
Edit intent: clarity
Original: While extracting the temporal dynamical features based on the sharp time-frequency analyses, like  reassignment and synchrosqueezing , attract more and more interest in medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Revised: While extracting the temporal dynamical features based on the time-frequency analyses, like reassignment and synchrosqueezing , attract more and more interest in medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Edit intent: clarity
Original: While extracting the temporal dynamical features based on the sharp time-frequency analyses, like  reassignment and synchrosqueezing , attract more and more interest in medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Revised: While extracting the temporal dynamical features based on the sharp time-frequency analyses, like the reassignment and synchrosqueezing , attract more and more interest in medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Edit intent: fluency
Original: While extracting the temporal dynamical features based on the sharp time-frequency analyses, like  reassignment and synchrosqueezing , attract more and more interest in medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Revised: While extracting the temporal dynamical features based on the sharp time-frequency analyses, like reassignment and synchrosqueezing , attract more and more interest in bio-medical data analysis, we should be careful about artifacts generated by interpolation schemes, in particular when the sampling rate is not significantly higher than the frequency of the oscillatory component we are interested in.
Edit intent: clarity
Original:  The inputs required are the current and future through-the-cycle PDs of the obligors, their last known default rates, and a measure for the systematic dependence of the obligors.
Revised:  The inputs required are the current and future Through-the-Cycle PDs of the obligors, their last known default rates, and a measure for the systematic dependence of the obligors.
Edit intent: fluency
Original:  The inputs required are the current and future through-the-cycle PDs of the obligors, their last known default rates, and a measure for the systematic dependence of the obligors.
Revised:  The inputs required are the current and future through-the-cycle PDs of the obligors, their last known default rates, and a measurement of the systematic dependence of the obligors.
Edit intent: fluency
Original:  Technically, the forecasts are made from within a classical asset-based credit portfolio model, just with the assumption of a suitable autoregressive process for the systematic factor.
Revised:  Technically, the forecasts are made from within a classical asset-based credit portfolio model, with the additional assumption of a suitable autoregressive process for the systematic factor.
Edit intent: coherence
Original:  The paper discusses in detail the practical issues of implementation, in particular the parametrization alternatives.
Revised:  This paper elaborates in detail on the practical issues of implementation, in particular the parametrization alternatives.
Edit intent: clarity
Original:  The paper discusses in detail the practical issues of implementation, in particular the parametrization alternatives.
Revised:  The paper discusses in detail the practical issues of implementation, especially on the parametrization alternatives.
Edit intent: coherence
Original:  The paper also shows how the approach can be naturally extended to low-default portfolios with volatile default rates, using Bayesian methodology.
Revised:  We also show how the approach can be naturally extended to low-default portfolios with volatile default rates, using Bayesian methodology.
Edit intent: coherence
Original:  Furthermore, the expert judgments about the current macroeconomic state, although not necessary for the forecasts, can be embedded  using the Bayesian technique.
Revised:  Furthermore, expert judgments on the current macroeconomic state, although not necessary for the forecasts, can be embedded using the Bayesian technique.
Edit intent: fluency
Original:  Furthermore, the expert judgments about the current macroeconomic state, although not necessary for the forecasts, can be embedded  using the Bayesian technique.
Revised:  Furthermore, the expert judgments about the current macroeconomic state, although not necessary for the forecasts, can be embedded into the model using the Bayesian technique.
Edit intent: clarity
Original:  The paper also describes a set of optimizations that significantly improve the performance and scalability of the system.
Revised:  The paper also describes a novel optimization that further improves the performance and scalability of the system.
Edit intent: clarity
Original:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Revised:  We evaluated the approach on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Edit intent: clarity
Original:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Revised:  The approach is evaluated on a set of benchmarks that most notably includes desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Edit intent: clarity
Original:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Revised:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus , which force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Edit intent: fluency
Original:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations , as well as a procedure to generate constraints for type inference .
Revised:  The approach is evaluated on a set of case studies which most notably include synthesizing desugaring functions for lambda calculus that force the synthesizer to discover Church encodings for pairs and boolean operations .
Edit intent: clarity