wanyu/IteraTeR_v2 huggingface dataset:
Original:  By exploiting efficient data re-use, data buffering, latch-based memories, and voltage scaling, a throughput of 241 GOPS is achieved while consuming just 1.1 mW at 0.4V/154MHz during inference of binary CNNs with up to 7x7 kernels, leading to a  core energy efficiency of 223 TOPS/W. ChewBaccaNN's flexibility allows to run a much wider range of binary CNNs than other accelerators, drastically improving the accuracy-energy trade-off beyond what can be captured by the TOPS/W metric.
Revised:  By exploiting efficient data re-use, data buffering, latch-based memories, and voltage scaling, a throughput of 241 GOPS is achieved while consuming just 1.1 mW at 0.4V/154MHz during inference of binary CNNs with up to 7x7 kernels, leading to a peak core energy efficiency of 223 TOPS/W. ChewBaccaNN's flexibility allows to run a much wider range of binary CNNs than other accelerators, drastically improving the accuracy-energy trade-off beyond what can be captured by the TOPS/W metric.
Edit intent: clarity
Original:  In fact, it can perform CIFAR-10 inference at 86.8\% accuracy with merely 1.3 \mu J, thus exceeding the accuracy while at the same time lowering the energy cost by 2.8x compared to even the most efficient and much larger analog processing-in-memory devices, while keeping the flexibility of running larger CNNs for higher accuracy when needed.
Revised:  In fact, it can perform CIFAR-10 inference at 86.8\% accuracy with merely 1.3 \mu J, thus exceeding the accuracy while at the same time lowering the energy cost by 2.8x compared to even the most efficient and much larger analog processing-in-memory devices, while keeping the flexibility of running larger CNNs for higher accuracy when needed.
Edit intent: fluency
Original:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 \, mJ/frame - at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the  full-precision ResNet-18.
Revised:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 mJ/frame - at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the full-precision ResNet-18.
Edit intent: fluency
Original:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 \, mJ/frame - at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the  full-precision ResNet-18.
Revised:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 \, mJ/frame -- at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the full-precision ResNet-18.
Edit intent: fluency
Original:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 \, mJ/frame - at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the  full-precision ResNet-18.
Revised:  Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67.5\% Top-1 accuracy with only 3.0 \, mJ/frame - at an accuracy drop of merely 1.8 %DIFDELCMD < \\%%% %DIF < from the \% from the full-precision ResNet-18.
Edit intent: fluency
Original:  Firstly, the initial frame layers can be restructured into 1-dimensional Res(2)Net modules with impactful skip connections.
Revised:  Firstly, the initial frame layers can be restructured into 1-dimensional Res2Net modules with impactful skip connections.
Edit intent: fluency
Original:  We argue that, when the training data amount is  low, this approach can allow an end-to-end model to reach hybrid systems' quality.
Revised:  We argue that, when the training data amount is relatively low, this approach can allow an end-to-end model to reach hybrid systems' quality.
Edit intent: clarity
Original:  An external language model allows our approach to reach the quality of a comparable supervised setup and outperform a semi-supervised setup (both on test-clean).
Revised:  An external language model , our approach outperforms a semi-supervised setup (both on test-clean).
Edit intent: clarity
Original:  Moreover, our main result on model embeddability , enables us to compute the volume of the set of model embeddable Markov matrices relative to the volume of other relevant sets of Markov matrices within the model.
Revised:  Moreover, our main result on model embeddability enables us to compute the volume of the set of model embeddable Markov matrices relative to the volume of other relevant sets of Markov matrices within the model.
Edit intent: fluency
Original: Information is key during a crisis such as the  current COVID-19 pandemic as it greatly shapes people opinion, behaviour and even their psychological state.
Revised: Information is key during a crisis such as the one produced by the current COVID-19 pandemic as it greatly shapes people opinion, behaviour and even their psychological state.
Edit intent: clarity
Original:  It has been acknowledged from the Secretary-General of the United Nations that the infodemic of misinformation is an important secondary crisis produced by the pandemic.
Revised:  It has been acknowledged from the Secretary-General of the United Nations that the infodemic of misinformation is an important secondary crisis associated to the pandemic.
Edit intent: clarity
Original:  On the contrary, reliable and trustful information along with messages of hope and solidarity can be used to control the pandemic, build safety nets and help promote resilience and antifragility .
Revised:  On the contrary, reliable and trustful information along with messages of hope and solidarity can be used to control the pandemic, build safety nets and help promote resilience .
Edit intent: coherence
Original:  We propose  a framework to characterize leaders in Twitter based on the analysis of the social graph derived from the activity in this social network.
Revised:  We propose the foundation of a framework to characterize leaders in Twitter based on the analysis of the social graph derived from the activity in this social network.
Edit intent: clarity
Original:  Centrality metrics are used to identify relevant nodes that are further characterized in terms of users parameters managed by Twitter.
Revised:  Centrality metrics are used to characterize the topology of the network and the nodes as potential leaders. These metrics are compared with the user popularity metrics managed by Twitter.
Edit intent: clarity
Original:  Our paper considers the problem of jointly planning the availability of computational resources at the edge, the slicing of mobile network and edge computation resources, and the routing of heterogeneous traffic types to the various slices.
Revised:  This paper considers the problem of jointly planning the availability of computational resources at the edge, the slicing of mobile network and edge computation resources, and the routing of heterogeneous traffic types to the various slices.
Edit intent: fluency
Original:  In this paper, we study the lifelong variant of MAPF  where agents are constantly engaged with new goal locations, such as in large-scale  warehouses.
Revised:  In this paper, we study the lifelong variant of MAPF , where agents are constantly engaged with new goal locations, such as in large-scale warehouses.
Edit intent: fluency
Original:  We propose a new framework  for solving lifelong MAPF by decomposing the problem into a sequence of Windowed MAPF instances, where a Windowed MAPF solver resolves collisions among the paths of the agents only within a finite time horizon and ignores collisions beyond it.
Revised:  We propose a new framework for solving lifelong MAPF by decomposing the problem into a sequence of Windowed MAPF instances, where a Windowed MAPF solver resolves collisions among the paths of the agents only within a bounded time horizon and ignores collisions beyond it.
Edit intent: clarity
Original:  Our framework is particularly well suited to generating pliable plans that adapt to continually arriving new goal locations.
Revised:  RHCR is particularly well suited to generating pliable plans that adapt to continually arriving new goal locations.
Edit intent: clarity
Original:  Empirically, we evaluate our framework with a variety of MAPF solvers and show that it can produce high-quality solutions for up to 1,000 agents \\%DIF > of the empty cells on the map) for simulated warehouse  , significantly outperforming existing methods .
Revised:  Empirically, we evaluate our framework with a variety of MAPF solvers and show that it can produce high-quality solutions for up to 1,000 agents \\%DIF > of the empty cells on the map) for simulated warehouse instances , significantly outperforming existing methods .
Edit intent: clarity
Original:  Empirically, we evaluate our framework with a variety of MAPF solvers and show that it can produce high-quality solutions for up to 1,000 agents \\%DIF > of the empty cells on the map) for simulated warehouse  , significantly outperforming existing methods .
Revised:  Empirically, we evaluate our framework with a variety of MAPF solvers and show that it can produce high-quality solutions for up to 1,000 agents \\%DIF > of the empty cells on the map) for simulated warehouse , significantly outperforming existing work .
Edit intent: clarity
Original:  We study this problem in the {\em k-machine model}, \footnote{Note that parameter k stands for the number of machines in the k-machine model and is independent of K-nearest points. a model for distributed large-scale data.
Revised:  We study this problem in the {\em k-machine model}, \footnote{(Note that parameter k stands for the number of machines in the k-machine model and is independent of K-nearest points.) a model for distributed large-scale data.
Edit intent: coherence
Original:  Our bounds are essentially the best possible for comparison-based algorithms .\footnote{Algorithms that use only comparison operations (\leq, \geq, =) between elements to distinguish the ordering among them.
Revised:  Our bounds are essentially the best possible for comparison-based algorithms \footnote{Algorithms that use only comparison operations (\leq, \geq, =) between elements to distinguish the ordering among them.
Edit intent: fluency
Original:  Our bounds are essentially the best possible for comparison-based algorithms .\footnote{Algorithms that use only comparison operations (\leq, \geq, =) between elements to distinguish the ordering among them.
Revised:  Our bounds are essentially the best possible for comparison-based algorithms .\footnote{
Edit intent: clarity
Original:  Al\`os (2012) introduced a decomposition expression of the call option prices for the Heston model by using Ito's formula.
Revised:  Al\`os (2012) introduced a decomposition expression for the Heston model by using Ito's formula.
Edit intent: clarity
Original:  The estimation of expected value, standard deviation, and probability density function of the (model-scale) resistance is presented and discussed obtained by multi-grid Reynolds averaged Navier-Stokes (RANS) computations\chinavis .
Revised:  The estimation of expected value, standard deviation, and probability density function of the (model-scale) resistance is presented and discussed obtained by multi-grid Reynolds Averaged Navier-Stokes (RANS) computations\chinavis .
Edit intent: fluency
Original:  The estimation of expected value, standard deviation, and probability density function of the (model-scale) resistance is presented and discussed obtained by multi-grid Reynolds averaged Navier-Stokes (RANS) computations\chinavis .
Revised:  The estimation of expected value, standard deviation, and probability density function of the (model-scale) resistance is presented and discussed obtained by multi-grid Reynolds averaged Navier-Stokes (RANS) solver\chinavis .
Edit intent: clarity
Original:  Both MISC and SRBF use as multi-fidelity levels the evaluations on  different grid levels , intrinsically employed by the RANS solver for multi-grid acceleration;
Revised:  Both MISC and SRBF use as multi-fidelity levels the evaluations on the different grid levels , intrinsically employed by the RANS solver for multi-grid acceleration;
Edit intent: fluency
Original:  Both MISC and SRBF use as multi-fidelity levels the evaluations on  different grid levels , intrinsically employed by the RANS solver for multi-grid acceleration;
Revised:  Both MISC and SRBF use as multi-fidelity levels the evaluations on different grid levels intrinsically employed by the RANS solver for multi-grid acceleration;
Edit intent: fluency
Original:  Online Social Networks have become an important medium for communication among people who suffer from mental disorders to share moments of hardship and to seek support.
Revised: In recent years, Online Social Networks have become an important medium for communication among people who suffer from mental disorders to share moments of hardship and to seek support.
Edit intent: clarity
Original:  Online Social Networks have become an important medium for communication among people who suffer from mental disorders to share moments of hardship and to seek support.
Revised:  Online Social Networks have become an important medium for people who suffer from mental disorders to share moments of hardship and to seek support.
Edit intent: clarity
Original:  Here we analyze how Reddit discussions can help improve the health conditions of its users.
Revised:  Here we analyze how Reddit discussions can help improve the health conditions of their users.
Edit intent: fluency
Original:  Using  emotional tone of user publications as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community.
Revised:  Using the emotional tone of user publications as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community.
Edit intent: fluency
Original:  Using  emotional tone of user publications as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community.
Revised:  Using emotional tone of users' writing as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community.
Edit intent: clarity
Original:  Using  emotional tone of user publications as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community.
Revised:  Using emotional tone of user publications as a proxy for emotional state, we uncover relationships between state changes and interactions he has in a given community.
Edit intent: fluency
Original:  We observe that authors of negative posts often write more positive comments after engaging in discussions  .
Revised:  We observe that authors of negative posts often write rosier comments after engaging in discussions .
Edit intent: clarity
Original:  Our models could assist in interventions promoted by health care professionals to provide support to people suffering from mental health illnesses.
Revised:  Our models hold promising implications for interventions to provide support to people suffering from mental health illnesses.
Edit intent: clarity
Original:  Our models could assist in interventions promoted by health care professionals to provide support to people suffering from mental health illnesses.
Revised:  Our models could assist in interventions promoted by health care professionals to provide support for people struggling with mental illnesses.
Edit intent: clarity
Original:  When compared to a control group, provided with random level suggestions throughout the design process, the mixed-initiative approach increased engagement in the level design task and was effective in inspiring new ideas and design directions.
Revised:  When compared to a control group, provided with random level suggestions . The designers using the mixed-initiative approach increased engagement in the level design task and was effective in inspiring new ideas and design directions.
Edit intent: clarity
Original:  When compared to a control group, provided with random level suggestions throughout the design process, the mixed-initiative approach increased engagement in the level design task and was effective in inspiring new ideas and design directions.
Revised:  When compared to a control group, provided with random level suggestions throughout the design process, the mixed-initiative tool showed an increased engagement in the level design task and was effective in inspiring new ideas and design directions.
Edit intent: clarity
Original:  When compared to a control group, provided with random level suggestions throughout the design process, the mixed-initiative approach increased engagement in the level design task and was effective in inspiring new ideas and design directions.
Revised:  When compared to a control group, provided with random level suggestions throughout the design process, the mixed-initiative approach increased engagement in the level design task , reporting that it was effective in inspiring new ideas and design directions.
Edit intent: clarity
Original: Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems  and epidemiology.
Revised: Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems , and epidemiology.
Edit intent: fluency
Original: This work introduces efficient online methods to build all-frequency approximations to the light transport distribution in a scene by exploiting both its spatial and temporal coherence , and shows several ways in which these approximants can be used to control the underlying sampling process andgreatly reduce sample variance in a regular path tracer.
Revised: This work introduces efficient online methods to build all-frequency approximations to the light transport distribution into a scene by exploiting both its spatial and temporal coherence , and shows several ways in which these approximants can be used to control the underlying sampling process andgreatly reduce sample variance in a regular path tracer.
Edit intent: fluency
Original:  Usually, Classification and Regression Trees are used for phonetic clustering, which is standard in Hidden Markov Model (HMM)-based systems.
Revised:  Usually, classification and regression trees are used for phonetic clustering, which is standard in Hidden Markov Model (HMM)-based systems.
Edit intent: fluency
Original:  Usually, Classification and Regression Trees are used for phonetic clustering, which is standard in Hidden Markov Model (HMM)-based systems.
Revised:  Usually, Classification and Regression Trees are used for phonetic clustering, which is standard in hidden Markov model (HMM)-based systems.
Edit intent: fluency
Original:  In this work, we address a direct phonetic context modeling for the hybrid Deep Neural Network (DNN)/HMM, that does not build on any phone clustering algorithm for the determination of the HMM state inventory.
Revised:  In this work, we address a direct phonetic context modeling for the hybrid deep neural network (DNN)/HMM, that does not build on any phone clustering algorithm for the determination of the HMM state inventory.
Edit intent: fluency
Original:  Recent wildfires exhibited an unprecedented spatial and temporal extend and their control is beyond national firefighting capabilities.
Revised:  Several recent wildfires have exhibited an unprecedented spatial and temporal extend and their control is beyond national firefighting capabilities.
Edit intent: clarity
Original:  Recent wildfires exhibited an unprecedented spatial and temporal extend and their control is beyond national firefighting capabilities.
Revised:  Recent wildfires exhibited an unprecedented spatial and temporal extent and their control is beyond national firefighting capabilities.
Edit intent: fluency
Original:  Results indicate that controlled fire return interval accounts of 3.5\% of fire spread and 3.5\% of fire intensity.
Revised:  Results indicate that controlled fire return interval exhibited a feature importance of 3.5\% of fire spread and 3.5\% of fire intensity.
Edit intent: clarity
Original:  Results indicate that controlled fire return interval accounts of 3.5\% of fire spread and 3.5\% of fire intensity.
Revised:  Results indicate that controlled fire return interval accounts of 3.5\% regarding fire spread rate and 3.5\% of fire intensity.
Edit intent: clarity
Original:  Results indicate that controlled fire return interval accounts of 3.5\% of fire spread and 3.5\% of fire intensity.
Revised:  Results indicate that controlled fire return interval accounts of 3.5\% of fire spread and 3.5\% regarding fire intensity.
Edit intent: clarity
Original:  Manipulating burn seasonality accounted for 5\% of fire spread and 6\% of fire intensity.
Revised:  Manipulating burn seasonality showed a feature importance of 5\% of fire spread and 6\% of fire intensity.
Edit intent: clarity
Original:  Manipulating burn seasonality accounted for 5\% of fire spread and 6\% of fire intensity.
Revised:  Manipulating burn seasonality accounted for 5\% regarding fire spread rate and 6\% of fire intensity.
Edit intent: clarity
Original:  Manipulating burn seasonality accounted for 5\% of fire spread and 6\% of fire intensity.
Revised:  Manipulating burn seasonality accounted for 5\% of fire spread and 6\% regarding fire intensity.
Edit intent: clarity
Original:  While manipulated fire return interval and seasonality moderated both fire spread  and intensity, their overall effects were low in comparison with  hydrological and climatic  variables.
Revised:  While manipulated fire return interval and seasonality moderated both fire spread and intensity, their overall effects were low in comparison with hydrological and climatic ) variables.
Edit intent: fluency
Original:  Given that the main driving factors of fire spread are related to hydrological and climatic variables, we suggest investigating further the use of climatic refugia against wildfires
Edit intent: coherence
Original: Fire is an integral part of the Earth for millennia.
Revised: Fire has been an integral part of the Earth for millennia.
Edit intent: clarity
Original:  Results indicate that controlled fire return interval exhibited a feature importance of 3.5\% regarding fire spread rate and 3.5 \% regarding fire intensity .
Revised:  Results indicate that fire return interval exhibited a feature importance of 3.5\% regarding fire spread rate and 3.5 \% regarding fire intensity .
Edit intent: clarity
Original:  Results indicate that controlled fire return interval exhibited a feature importance of 3.5\% regarding fire spread rate and 3.5 \% regarding fire intensity .
Revised:  Results indicate that controlled fire return interval was not an important predictor of fire spread rate and 3.5 \% regarding fire intensity .
Edit intent: clarity
Original:  Results indicate that controlled fire return interval exhibited a feature importance of 3.5\% regarding fire spread rate and 3.5 \% regarding fire intensity .
Revised:  Results indicate that controlled fire return interval exhibited a feature importance of 3.5\% regarding fire spread rate or fire intensity, having a feature importance of 3.5 \% regarding fire intensity .
Edit intent: clarity
Original:  Manipulating burn seasonality showed a feature importance of 5\% regarding fire spread rate and 6\% regarding fire intensity.
Revised:  Manipulating burn seasonality showed a feature importance of 5\% regarding fire spread rate or fire intensity.
Edit intent: clarity
Original:  We confirm this claim quantitatively for the federal legislation of two industrialised countries, finding impressive expansion in the laws of Germany and the United States over the past two and a half decades.
Revised:  We confirm this claim quantitatively for the federal legislation of the United States and Germany, we find impressive expansion in the laws of Germany and the United States over the past two and a half decades.
Edit intent: clarity