wanyu/IteraTeR_v2 huggingface dataset:
Original:  Furthermore, we show that the use of dilated distance-generating functions allow us to decompose the mirror descent algorithm, and its optimistic variant, into local mirror descent algorithms at each information set.
Revised:  Furthermore, we show that the use of dilated distance-generating functions enable us to decompose the mirror descent algorithm, and its optimistic variant, into local mirror descent algorithms at each information set.
Edit intent: fluency
Original:  We experimentally compare our algorithms to the popular algorithm CFR+ . CFR+ is known to often converge at a rate of T^{-1}, or better, in practice.
Revised:  We experimentally compare to the popular algorithm CFR+ . CFR+ is known to often converge at a rate of T^{-1}, or better, in practice.
Edit intent: clarity
Original:  We give an example matrix game where CFR+ experimentally converges at a relatively slow rate of T^{-0.74}, whereas  optimistic methods converge faster than T^{-1}.
Revised:  We give an example matrix game where CFR+ experimentally converges at a relatively slow rate of T^{-0.74}, whereas our optimistic methods converge faster than T^{-1}.
Edit intent: fluency
Original:  We go on to show that this fast rate also holds in the Kuhn poker game, which is an extensive-form game.
Revised:  We go on to show that our fast rate also holds in the Kuhn poker game, which is an extensive-form game.
Edit intent: clarity
Original:  Finally we show that when the goal is minimizing regret, rather than computing a Nash equilibrium,  optimistic methods can outperform CFR+, even in deep game trees.
Revised:  Finally we show that when the goal is minimizing regret, rather than computing a Nash equilibrium, our optimistic methods can outperform CFR+, even in deep game trees.
Edit intent: clarity
Original: Vision-based sign language recognition aims at helping the hearing-impaired people to communicate with others.
Revised: Vision-based sign language recognition aims at helping deaf people to communicate with others.
Edit intent: clarity
Original:  We will make the large-scale dataset , as well as our baseline deep models , freely available online.
Revised:  Our dataset and baseline deep models , freely available online.
Edit intent: clarity
Original:  We benchmark indexing throughput on a single high-end multi-core commodity server in a number of configurations varying the media of the source collection and target index, examining a network-attacked store, a direct-attached disk array, and an SSD. Experiments show that the largest determinants of performance are the physical characteristics of the source and target media, and that physically isolating the two yields the highest indexing throughput.
Revised:  We benchmark indexing throughput on a single high-end multi-core commodity server in a number of configurations varying the media of the source collection and target index, examining a network-attached store, a direct-attached disk array, and an SSD. Experiments show that the largest determinants of performance are the physical characteristics of the source and target media, and that physically isolating the two yields the highest indexing throughput.
Edit intent: fluency
Original: We report the possibility of obtaining complex networks with diverse topology, henceforth called harmonic networks, by taking into account the consonances and dissonances between sound notes as defined by scale temperaments.
Revised: We report an approach to obtaining complex networks with diverse topology, henceforth called harmonic networks, by taking into account the consonances and dissonances between sound notes as defined by scale temperaments.
Edit intent: clarity
Original: We report the possibility of obtaining complex networks with diverse topology, henceforth called harmonic networks, by taking into account the consonances and dissonances between sound notes as defined by scale temperaments.
Revised: We report the possibility of obtaining complex networks with diverse topology, henceforth called harmonic networks, by taking into account the consonances and dissonances between notes as defined by scale temperaments.
Edit intent: clarity
Original:  In real-world sounds , several additional frequencies (partials) accompany the respective fundamental, influencing the consonance between simultaneous notes.
Revised:  In real-world sounds several additional frequencies (partials) accompany the respective fundamental, influencing the consonance between simultaneous notes.
Edit intent: fluency
Original:  In real-world sounds , several additional frequencies (partials) accompany the respective fundamental, influencing the consonance between simultaneous notes.
Revised:  In real-world sounds , several additional frequencies (partials) accompany the respective fundamental, influencing both timber and consonance between simultaneous notes.
Edit intent: clarity
Original:  We use a method based on Helmholtz's consonance approach to quantify the consonances and dissonances , between each of the pairs of notes in a given scale temperament.
Revised:  We use a method based on Helmholtz's consonance approach to quantify the consonances and dissonances between each of the pairs of notes in a given scale temperament.
Edit intent: fluency
Original:  We use a method based on Helmholtz's consonance approach to quantify the consonances and dissonances , between each of the pairs of notes in a given scale temperament.
Revised:  We use a method based on Helmholtz's consonance approach to quantify the consonances and dissonances , between each of the pairs of notes in a given temperament.
Edit intent: clarity
Original:  When these estimated consonances/dissonances are taken along several octaves, respective harmonic complex networks can be obtained, in which nodes and weighted edge represent notes, and consonance/dissonance, respectively.
Revised:  When these estimated consonances/dissonances are estimated along several octaves, respective harmonic complex networks can be obtained, in which nodes and weighted edge represent notes, and consonance/dissonance, respectively.
Edit intent: clarity
Original:  When these estimated consonances/dissonances are taken along several octaves, respective harmonic complex networks can be obtained, in which nodes and weighted edge represent notes, and consonance/dissonance, respectively.
Revised:  When these estimated consonances/dissonances are taken along several octaves, respective syntonets can be obtained, in which nodes and weighted edge represent notes, and consonance/dissonance, respectively.
Edit intent: clarity
Original:  We consider five scale temperaments (i.e., equal, meantone, Werckmeister, just, and Pythagorean).
Edit intent: coherence
Original:  The obtained results can be organized into two major groups, those related to complex networks and musical implications . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Revised:  The obtained results are organized into two major groups, those related to complex networks and musical implications . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Edit intent: clarity
Original:  The obtained results can be organized into two major groups, those related to complex networks and musical implications . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Revised:  The obtained results can be organized into two main groups, those related to complex networks and musical implications . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Edit intent: clarity
Original:  The obtained results can be organized into two major groups, those related to complex networks and musical implications . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Revised:  The obtained results can be organized into two major groups, those related to network science and musical theory . Regarding the former group, we have that the harmonic networks can provide, for varying values of \beta, a wide range of topologies spanning the space comprised between traditional models.
Edit intent: clarity
Original:   The musical interpretations of the results include the confirmation of the more regular consonance pattern of the equal temperament, obtained at the expense of a wider range of consonances such as that obtained in the meantone temperament.
Revised:  The musical interpretations of the results include the confirmation of the more regular consonance pattern of the equal temperament, obtained at the expense of a wider range of consonances such as that in the meantone temperament.
Edit intent: fluency
Original:  We also have that scales derived for shifted partials tend to exhibit a wide range of consonance / dissonance behavior depending oh the adopted temperament and anharmonicity strength.
Revised:  We also have that scales derived for shifted partials tend to have a wider range of consonances / dissonance behavior depending oh the adopted temperament and anharmonicity strength.
Edit intent: clarity
Original:  We also have that scales derived for shifted partials tend to exhibit a wide range of consonance / dissonance behavior depending oh the adopted temperament and anharmonicity strength.
Revised:  We also have that scales derived for shifted partials tend to exhibit a wide range of consonance / dissonances, depending on the temperament and anharmonicity strength.
Edit intent: clarity
Original:  We extend \textsf{MVU} with subscriptions and commands as found in Elm .
Revised:  We extend \textsf{MVU} with commands as found in Elm .
Edit intent: clarity
Original:  By further extending the calculus with linearity and model transitions, we provide  the first formal integration of session-typed communication with a GUI framework .
Revised:  By further extending the calculus with linearity and model transitions, we provide and the first formal integration of session-typed communication with a GUI framework .
Edit intent: fluency
Original:  By further extending the calculus with linearity and model transitions, we provide  the first formal integration of session-typed communication with a GUI framework .
Revised:  By further extending the calculus with linearity and model transitions, we provide , we show the first formal integration of session-typed communication with a GUI framework .
Edit intent: coherence
Original:  By further extending the calculus with linearity and model transitions, we provide  the first formal integration of session-typed communication with a GUI framework .
Revised:  By further extending the calculus with linearity and model transitions, we provide the first formal integration of session typing and GUI programming .
Edit intent: clarity
Original:  Then the proposed CM schemes are evaluated and the optimized parameters for the proposed CM schemes are further provided considering CM performance and the complexity.
Revised:  Then the proposed CM schemes are evaluated and the optimized parameters are further provided considering CM performance and the complexity.
Edit intent: coherence
Original:  There has been a plethora of work in search of more powerful architectures or loss functions suitable for the task, but they do not consider what information is learnt by the models aside from being able to predict the given labels.
Revised:  There has been a plethora of work in search for more powerful architectures or loss functions suitable for the task, but they do not consider what information is learnt by the models aside from being able to predict the given labels.
Edit intent: fluency
Original:  There has been a plethora of work in search of more powerful architectures or loss functions suitable for the task, but they do not consider what information is learnt by the models aside from being able to predict the given labels.
Revised:  There has been a plethora of work in search of more powerful architectures or loss functions suitable for the task, but these works do not consider what information is learnt by the models aside from being able to predict the given labels.
Edit intent: clarity
Original:  There has been a plethora of work in search of more powerful architectures or loss functions suitable for the task, but they do not consider what information is learnt by the models aside from being able to predict the given labels.
Revised:  There has been a plethora of work in search of more powerful architectures or loss functions suitable for the task, but they do not consider what information is learnt by the models , apart from being able to predict the given labels.
Edit intent: fluency
Original:  This allows the network to generalise better in unseen conditions.
Revised:  This allows the network to generalise better to unseen conditions.
Edit intent: fluency
Original: In this paper, we present our approach to extract structured information from unstructured Electronic Health Records (EHR) [2] to study adverse drug reactions on patients , due to chemicals in their products.
Revised: In this paper, we present our approach to extracting structured information from unstructured Electronic Health Records (EHR) [2] to study adverse drug reactions on patients , due to chemicals in their products.
Edit intent: fluency
Original: In this paper, we present our approach to extract structured information from unstructured Electronic Health Records (EHR) [2] to study adverse drug reactions on patients , due to chemicals in their products.
Revised: In this paper, we present our approach to extract structured information from unstructured Electronic Health Records (EHR) [2] which can be used to, for example, study adverse drug reactions on patients , due to chemicals in their products.
Edit intent: coherence
Original: In this paper, we present our approach to extract structured information from unstructured Electronic Health Records (EHR) [2] to study adverse drug reactions on patients , due to chemicals in their products.
Revised: In this paper, we present our approach to extract structured information from unstructured Electronic Health Records (EHR) [2] to study adverse drug reactions in patients due to chemicals in their products.
Edit intent: fluency
Original:   ] We showcase a combination of tools and techniques leveraging the recent advancements in NLP aimed at targeting domain shifts by applying transfer learning and language model pre-training techniques [3].
Revised:  26] We showcase a combination of tools and techniques leveraging the recent advancements in NLP aimed at targeting domain shifts by applying transfer learning and language model pre-training techniques [3].
Edit intent: fluency
Original:   ] We showcase a combination of tools and techniques leveraging the recent advancements in NLP aimed at targeting domain shifts by applying transfer learning and language model pre-training techniques [3].
Revised:  ]. We showcase a combination of tools and techniques leveraging the recent advancements in NLP aimed at targeting domain shifts by applying transfer learning and language model pre-training techniques [3].
Edit intent: fluency
Original:  We present a comparison of our technique to the base models available and show the effective increase in performance of the NER model and the reduction in time to annotate data.
Revised:  We present a comparison of our technique to the current popular approaches and show the effective increase in performance of the NER model and the reduction in time to annotate data.
Edit intent: clarity
Original:  A key problem in this automation process is  generation of regional clock tree.
Revised:  A key problem in this automation process is the generation of regional clock tree.
Edit intent: fluency
Original:  Synchoros design style requires that the clock tree should emerge by abutting its identical fragments, that are absorbed in synchoros large grain VLSI design objects as a one-time engineering effort.
Revised:  Synchoros design style requires that the clock tree should emerge by abutting its fragments. The clock tree fragments are absorbed in synchoros large grain VLSI design objects as a one-time engineering effort.
Edit intent: clarity
Original:  Synchoros design style requires that the clock tree should emerge by abutting its identical fragments, that are absorbed in synchoros large grain VLSI design objects as a one-time engineering effort.
Revised:  Synchoros design style requires that the clock tree should emerge by abutting its identical fragments, that are absorbed in the SiLago blocks as a one-time engineering effort.
Edit intent: clarity
Original:  The clock tree should not be ad-hoc  but a structured parametrically predictable design whose cost metrics are known.
Revised:  The clock tree should not be ad-hoc , but a structured parametrically predictable design whose cost metrics are known.
Edit intent: fluency
Original:  The clock tree should not be ad-hoc  but a structured parametrically predictable design whose cost metrics are known.
Revised:  The clock tree should not be ad-hoc but a structured and predictable design whose cost metrics are known.
Edit intent: clarity
Original:  We present a new clock tree design that is compatible with the Synchoros design .
Revised:  Here, we present a new clock tree design that is compatible with the Synchoros design .
Edit intent: coherence
Original:  We present a new clock tree design that is compatible with the Synchoros design .
Revised:  We present a new clock tree design that is compatible with the synchoros design style .
Edit intent: clarity
Original:  The proposed design has been verified with static timing analysis and compared against functionally equivalent clock tree synthesized by commercial EDA tools.
Revised:  The proposed design has been verified with static timing analysis and compared against functionally equivalent clock tree synthesised by the commercial EDA tools.
Edit intent: fluency
Original:  More critically, the synthesized design is correct by construction and requires no further verification.
Revised:  More critically, the synthesised design is correct by construction and requires no further verification.
Edit intent: fluency
Original:  In contrast, the  hierarchical synthesis flow requires to synthesize the regional clock tree in addition to follow up verification step because it lacks predictability.
Revised:  In contrast, the hierarchical synthesis flow requires synthesis of the regional clock tree in addition to follow up verification step because it lacks predictability.
Edit intent: fluency
Original:  The results also demonstrate that the capacitance, slew and the ability to balance skew of the clock tree synthesized by abutment is comparable to the one generated by commercial EDA tools.
Revised:  The results also demonstrate that the capacitance, slew and the ability to balance skew of the clock tree created by abutment is comparable to the one generated by commercial EDA tools.
Edit intent: clarity
Original: Being able to produce synthetic networks by means of generative random graph models and scalable algorithms is a recurring tool-of-the-trade in network analysis, as it provides a well founded basis for the statistical analysis of various properties in real-world networks.
Revised: Being able to produce synthetic networks by means of generative random graph models and scalable algorithms is a recurring tool-of-the-trade in network analysis, as it provides a well-founded basis for the statistical analysis of various properties in real-world networks.
Edit intent: fluency
Original:  In particular, we are concerned with the fulfillment of a fundamental hypothesis that must be placed on the model parameters, without which the generated graphs loose all the theoretical properties of the model, notably, the controllability of the expected node degrees and the absence of correlations between the degrees of two nodes joined by an edge.
Revised:  In particular, we are concerned with the fulfillment of a fundamental hypothesis that must be placed on the model parameters, without which the generated graphs lose all the theoretical properties of the model, notably, the controllability of the expected node degrees and the absence of correlations between the degrees of two nodes joined by an edge.
Edit intent: fluency
Original:  We provide explicit formulas for the model parameters in order to generate random graphs which fulfil a number of requirements on the behavior of the smallest, largest, and average expected degrees and have several desirable properties, including a power-law degree distribution with any prescribed exponent larger than 2, the presence of a giant component and no potentially isolated nodes.
Revised:  We provide explicit formulas for the model parameters in order to generate random graphs which fulfill a number of requirements on the behavior of the smallest, largest, and average expected degrees and have several desirable properties, including a power-law degree distribution with any prescribed exponent larger than 2, the presence of a giant component and no potentially isolated nodes.
Edit intent: fluency
Original: Being able to produce synthetic networks by means of generative random graph models and scalable algorithms is a recurring tool-of-the-trade in network analysis, as it provides a well-founded basis for the statistical analysis of various properties in real-world networks.
Revised: Random graph models are a recurring tool-of-the-trade in network analysis, as it provides a well-founded basis for the statistical analysis of various properties in real-world networks.
Edit intent: coherence
Original:  In this paper, we illustrate how to generate large random graphs having a power-law degree profile by means of the Chung-Lu model.
Revised:  In this paper, we illustrate how to generate large random graphs having a power-law degree distribution using the Chung--Lu model.
Edit intent: clarity
Original:  In particular, we are concerned with the fulfillment of a fundamental hypothesis that must be placed on the model parameters, without which the generated graphs lose all the theoretical properties of the model, notably, the controllability of the expected node degrees and the absence of correlations between the degrees of two nodes joined by an edge.
Revised:  In particular, we are concerned with the fulfilment of a fundamental hypothesis that must be placed on the model parameters, without which the generated graphs lose all the theoretical properties of the model, notably, the controllability of the expected node degrees and the absence of correlations between the degrees of two nodes joined by an edge.
Edit intent: clarity
Original:  We provide explicit formulas for the model parameters in order to generate random graphs which fulfill a number of requirements on the behavior of the smallest, largest, and average expected degrees and have several desirable properties, including a power-law degree distribution with any prescribed exponent larger than 2, the presence of a giant component and no potentially isolated nodes .
Revised:  We provide explicit formulas for the model parameters to generate random graphs which fulfill a number of requirements on the behavior of the smallest, largest, and average expected degrees and have several desirable properties, including a power-law degree distribution with any prescribed exponent larger than 2, the presence of a giant component and no potentially isolated nodes .
Edit intent: coherence