wanyu/IteraTeR_v2 huggingface dataset:
Original:  In this paper, we propose a method that compensates for the performance degradation of speaker verification for short utterances, referred to as " crop aggregating ".
Revised:  In this paper, we propose a method that compensates for the performance degradation of speaker verification for short utterances, referred to as " segment aggregation ".
Edit intent: clarity
Original:  At every time step, the scheduler has the possibility either to test a job, by querying a processing time oracle , which reveals its processing time , and occupies one time unit on the schedule .
Revised:  At every time step, the scheduler has the possibility either to test a job, by querying a processing time oracle reveals the processing time of a given job. These tests occupy time on the schedule .
Edit intent: clarity
Original:  The objective value is the total completion time over all jobs, and is compared with the objective value of an optimal schedule, which does not need to test .
Revised:  The objective value of the resulting schedule is compared with the objective value of an optimal schedule, which does not need to test .
Edit intent: clarity
Original:  The resulting competitive ratio measures the price of hidden processing time .
Revised:  The resulting competitive ratio measures the price of hidden processing times .
Edit intent: fluency
Original:  However it is initially hidden to the algorithm, only the execution of a processing time oracle  reveals the processing time of a given job.
Revised:  However it is initially hidden to the algorithm, only the execution of a processing time oracle , which reveals the processing time of a given job.
Edit intent: coherence
Original:  These tests occupy time on the schedule, therefore the algorithm must decide for which jobs it will call the processing time oracle.
Revised:  Each test occupies a time unit in the schedule, therefore the algorithm must decide for which jobs it will call the processing time oracle.
Edit intent: clarity
Original:  In the non-adaptive model, the algorithm needs to decide before hand which jobs to test, and which jobs to execute untested.
Revised:  In the non-adaptive model, the algorithm needs to decide beforehand which jobs to test, and which jobs to execute untested.
Edit intent: clarity
Original:  However in the adaptive model, the algorithm can make these decisions adaptively to the outcomes of the job tests.
Revised:  However in the adaptive model, the algorithm can make these decisions adaptively depending on the outcomes of the job tests.
Edit intent: clarity
Original:  In both models we provide optimal polynomial time two-phase algorithms , which consist of a first phase where jobs are tested, and a second phase where jobs are executed obliviously.
Revised:  In both models we provide optimal polynomial time algorithms following a two-phase strategy , which consist of a first phase where jobs are tested, and a second phase where jobs are executed obliviously.
Edit intent: clarity
Original:  Despite the fact that unparameterized universality is Ackermann-complete and that these problems seem to reduce to checking basic structural properties of the underlying automaton, we show that in fact both problems are undecidable.
Revised:  Despite the fact that unparameterized universality is Ackermann-complete ) and these parameterized problems seem to reduce to checking basic structural properties of the underlying automaton, we show that in fact both problems are undecidable.
Edit intent: clarity
Original: In a previous article [1] we have described the temporal evolution of the Sars-Cov-2 in Italy in the time window February 24-April 1.
Revised: In a previous article [1] we have described the temporal evolution of the Sars- Cov-2 in Italy in the time window February 24-April 1.
Edit intent: fluency
Original: Real-world application scenarios like modern Internet services consist of diversity of AI and non-AI modules with very long and complex execution paths . Using component or micro AI benchmarks alone can lead to error-prone conclusions.
Revised: Modern real-world application scenarios like modern Internet services consist of diversity of AI and non-AI modules with very long and complex execution paths . Using component or micro AI benchmarks alone can lead to error-prone conclusions.
Edit intent: fluency
Original: Real-world application scenarios like modern Internet services consist of diversity of AI and non-AI modules with very long and complex execution paths . Using component or micro AI benchmarks alone can lead to error-prone conclusions.
Revised: Real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with very long and complex execution paths . Using component or micro AI benchmarks alone can lead to error-prone conclusions.
Edit intent: clarity
Original:  This paper proposes a scenario-distilling AI benchmarking methodology .
Revised:  This paper presents a scenario-distilling AI benchmarking methodology .
Edit intent: clarity
Original:  On the basis of the framework, we propose the guideline for building scenario-distilling benchmarks, and present two Internet service AI ones.
Revised:  On the basis of which, we implement two Internet service AI ones.
Edit intent: clarity
Original:  The preliminary evaluation shows the advantage of scenario-distilling AI benchmarking against using component or micro AI benchmarks alone.
Revised:  The preliminary evaluation shows the advantage of our methodology against using component or micro AI benchmarks alone.
Edit intent: clarity
Original:  The specifications, source code, testbed, and results are publicly available from the web site URL
Revised:  The specifications, source code, testbed, and results are publicly available from URL
Edit intent: clarity
Original: Modern real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with very long and complex execution paths, but also have huge code size, which raises serious benchmarking or evaluating challenges.
Revised: Modern real-world application scenarios like Internet services consist of a diversity of AI and non-AI modules with very long and complex execution paths, but also have huge code size, which raises serious benchmarking or evaluating challenges.
Edit intent: coherence
Original: Modern real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with very long and complex execution paths, but also have huge code size, which raises serious benchmarking or evaluating challenges.
Revised: Modern real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with huge code sizes and long and complicated execution paths, but also have huge code size, which raises serious benchmarking or evaluating challenges.
Edit intent: clarity
Original: Modern real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with very long and complex execution paths, but also have huge code size, which raises serious benchmarking or evaluating challenges.
Revised: Modern real-world application scenarios like Internet services not only consist of diversity of AI and non-AI modules with very long and complex execution paths, which raises serious benchmarking or evaluating challenges.
Edit intent: coherence
Original:  This paper presents a scenario-distilling methodology to attack the above challenge.
Revised:  This paper presents a methodology to attack the above challenge.
Edit intent: clarity
Original:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model , and propose the rules to distill it into the permutation of essential AI and non-AI tasks as a high-level scenario benchmarkspecification .
Revised:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model and propose the rules to distill it into the permutation of essential AI and non-AI tasks as a high-level scenario benchmarkspecification .
Edit intent: fluency
Original:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model , and propose the rules to distill it into the permutation of essential AI and non-AI tasks as a high-level scenario benchmarkspecification .
Revised:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model , and propose the rules to distill it into a permutation of essential AI and non-AI tasks as a high-level scenario benchmarkspecification .
Edit intent: fluency
Original:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model , and propose the rules to distill it into the permutation of essential AI and non-AI tasks as a high-level scenario benchmarkspecification .
Revised:  We formalize a real-world application scenario as a Directed Acyclic Graph-based model , and propose the rules to distill it into the permutation of essential AI and non-AI tasks , which we call a scenario benchmark .
Edit intent: clarity
Original:  Together with seventeen industry partners, we extract nine typical application scenarios, and identify the primary components .
Revised:  Together with seventeen industry partners, we extract nine typical scenario benchmarks .
Edit intent: clarity
Original:  We design and implement a highly extensible, configurable, and flexible benchmark framework , on the basis of which, we implement two Internet service AI scenario benchmarks  as proxies to two real-world application scenarios.
Revised:  We design and implement an extensible, configurable, and flexible benchmark framework , on the basis of which, we implement two Internet service AI scenario benchmarks as proxies to two real-world application scenarios.
Edit intent: clarity
Original:  We design and implement a highly extensible, configurable, and flexible benchmark framework , on the basis of which, we implement two Internet service AI scenario benchmarks  as proxies to two real-world application scenarios.
Revised:  We design and implement a highly extensible, configurable, and flexible benchmark framework . We implement two Internet service AI scenario benchmarks as proxies to two real-world application scenarios.
Edit intent: coherence
Original:  We claim scenario, component  and micro benchmarks should be considered as three indispensable parts for evaluating.
Revised:  We consider scenario, component and micro benchmarks should be considered as three indispensable parts for evaluating.
Edit intent: clarity
Original:  We claim scenario, component  and micro benchmarks should be considered as three indispensable parts for evaluating.
Revised:  We claim scenario, component , and micro benchmarks should be considered as three indispensable parts for evaluating.
Edit intent: fluency
Original:  We claim scenario, component  and micro benchmarks should be considered as three indispensable parts for evaluating.
Revised:  We claim scenario, component and micro benchmarks as three indispensable parts for evaluating.
Edit intent: clarity
Original:  The saliency and separability of the hidden representations when trained on MNIST dataset is studied using an external classifier, and compared with other unsupervised learning methods that include restricted Boltzmann machines and autoencoders.
Revised:  The usefulness and class-dependent separability of the hidden representations when trained on MNIST dataset is studied using an external classifier, and compared with other unsupervised learning methods that include restricted Boltzmann machines and autoencoders.
Edit intent: clarity
Original:  Such an \alpha is called a normal element and G\cdot\alpha is a normal basis.
Revised:  Such a \alpha is called a normal element and G\cdot\alpha is a normal basis.
Edit intent: fluency
Original:  Once we know that \alpha is normal, we show how to perform conversions between the working basis of K/\mathsf{F} and the normal basis with the same asymptotic cost.
Revised:  Once we know that \alpha is normal, we show how to perform conversions between the power basis of K/\mathsf{F} and the normal basis with the same asymptotic cost.
Edit intent: clarity
Original:  Law enforcement can adopt this approach to solve crimesinvolving cryptocurrency and anonymization techniques .
Revised:  Cryptocurrencies can adopt this approach to solve crimesinvolving cryptocurrency and anonymization techniques .
Edit intent: clarity
Original:  Law enforcement can adopt this approach to solve crimesinvolving cryptocurrency and anonymization techniques .
Revised:  Law enforcement can adopt this approach to enable prosecution of publicly recognized crimes .
Edit intent: clarity
Original:  We show that contracts which automatically reduce the outstanding balance in the event of local house price decline remove the default incentive, but may induce prepayment in low price states.
Revised:  We show that contracts which automatically reduce the outstanding balance in the event of house price decline remove the default incentive, but may induce prepayment in low price states.
Edit intent: clarity
Original:  However, low state prepayments vanish if borrower utility from home ownership , or outside options such as rental costs, are too high.
Revised:  However, low state prepayments vanish if the benefit from home ownership , or outside options such as rental costs, are too high.
Edit intent: clarity
Original:  However, low state prepayments vanish if borrower utility from home ownership , or outside options such as rental costs, are too high.
Revised:  However, low state prepayments vanish if borrower utility from home ownership is sufficiently high.
Edit intent: clarity
Original:  We also show that capital gain sharing features, through prepayment penalties in high house price states, are ineffective , as they virtually eliminate prepayment in such states.
Revised:  We also show that capital gain sharing features, such as prepayment penalties in high house price states, are ineffective , as they virtually eliminate prepayment in such states.
Edit intent: clarity
Original:  We also show that capital gain sharing features, through prepayment penalties in high house price states, are ineffective , as they virtually eliminate prepayment in such states.
Revised:  We also show that capital gain sharing features, through prepayment penalties in high house price states, are ineffective as they virtually eliminate prepayment in such states.
Edit intent: fluency
Original:  Our results are obtained using American options pricing methods , in a  model with diffusive home prices , and either diffusive or constant interest rates.
Revised:  Our results are obtained using American options pricing method , in a model with diffusive home prices , and either diffusive or constant interest rates.
Edit intent: fluency
Original: We analyze recently proposed mortgage contracts which aim to eliminate selective borrower default when the loan balance exceeds the house price (the "underwater" effect).
Revised: We analyze recently proposed mortgage contracts that aim to eliminate selective borrower default when the loan balance exceeds the house price (the "underwater" effect).
Edit intent: fluency
Original: We analyze recently proposed mortgage contracts which aim to eliminate selective borrower default when the loan balance exceeds the house price (the "underwater" effect).
Revised: We analyze recently proposed mortgage contracts which aim to eliminate selective borrower default when the loan balance exceeds the house price (the ``underwater'' effect).
Edit intent: fluency
Original:  We show that contracts which automatically reduce the outstanding balance in the event of house price decline remove the default incentive, but may induce prepayment in low price states.
Revised:  We show contracts that automatically reduce the outstanding balance in the event of house price decline remove the default incentive, but may induce prepayment in low price states.
Edit intent: fluency
Original:  For observed foreclosure costs, we find that contracts with automatic balance adjustments become preferable to the traditional fixed rate contracts at mortgage rate spreads between 50-100 basis points.
Revised:  For observed foreclosure costs, we find that contracts with automatic balance adjustments become preferable to the traditional fixed-rate contracts at mortgage rate spreads between 50-100 basis points.
Edit intent: fluency
Original:  Results are obtained using American options pricing method , in a continuous time model with diffusive home prices.
Revised:  Results are obtained using American options pricing methodology , in a continuous time model with diffusive home prices.
Edit intent: fluency
Original:  Results are obtained using American options pricing method , in a continuous time model with diffusive home prices.
Revised:  Results are obtained using American options pricing method , in a continuous-time model with diffusive home prices.
Edit intent: fluency
Original:  Here, we associate the contracts' values and optimal decision rules  with free boundary problems .
Revised:  The contracts' values and optimal decision rules with free boundary problems .
Edit intent: clarity
Original:  Here, we associate the contracts' values and optimal decision rules  with free boundary problems .
Revised:  Here, we associate the contracts' values and optimal decision rules are associated with free boundary problems .
Edit intent: clarity
Original:  In this paper, we propose a novel PoS-based blockchain protocol, QuickSync, to achieve security against fully adaptive corruptions without compromising on performance.
Revised:  In this paper, we propose a novel PoS-based blockchain protocol, QuickSync, to achieve security against fully adaptive corruptions while improving on performance.
Edit intent: clarity
Original:  We also identify two properties, specifically balanced weight sparsity and lower cardinality bounds, that reduce the verification complexity of BNNs. EEV contains both a SAT solver enhanced to handle reified cardinality constraints natively and novel training strategies designed to reduce verification complexity by delivering networks with improved sparsity properties and cardinality bounds .
Revised:  We also identify two properties, specifically balanced weight sparsity and lower cardinality bounds, that reduce the verification complexity of BNNs. EEV consists of two parts: (i) a novel SAT solver that speeds up BNN verification by natively handling the reified cardinality constraints natively and novel training strategies designed to reduce verification complexity by delivering networks with improved sparsity properties and cardinality bounds .
Edit intent: clarity
Original:  We also identify two properties, specifically balanced weight sparsity and lower cardinality bounds, that reduce the verification complexity of BNNs. EEV contains both a SAT solver enhanced to handle reified cardinality constraints natively and novel training strategies designed to reduce verification complexity by delivering networks with improved sparsity properties and cardinality bounds .
Revised:  We also identify two properties, specifically balanced weight sparsity and lower cardinality bounds, that reduce the verification complexity of BNNs. EEV contains both a SAT solver enhanced to handle reified cardinality constraints arising in BNN encodings; and (ii) strategies to train solver-friendly robust BNNs by inducing balanced layer-wise sparsity and low cardinality bounds, and adaptively cancelling the gradients .
Edit intent: clarity
Original:  Our results also show that, depending on the dataset and network architecture, our techniques verify BNNs between a factor of ten to ten thousand times fasterthan the best previous exact verification techniques for either binarized or real-valued networks .
Revised:  Compared to exact verification of real-valued networks .
Edit intent: clarity
Original: In response to the coronavirus disease (COVID-19) outbreak , there is an ever-increasing number of national governments that are rolling out contact-tracing Apps to aid the containment of the virus.
Revised: In response to the coronavirus disease (COVID-19) , there is an ever-increasing number of national governments that are rolling out contact-tracing Apps to aid the containment of the virus.
Edit intent: clarity
Original:  The  vulnerabilities and the directions of research are identified, with a special focus on the Bluetooth-based decentralised scheme .
Revised:  The vulnerabilities and the directions of research are identified, with a special focus on the Bluetooth-inspired decentralized paradigm .
Edit intent: clarity
Original:  The number of cases follows an early exponential expansion;
Revised:  The number of cases follows in its early stages an almost exponential expansion;
Edit intent: clarity
Original:  we chose as a starting point in each country the first day  with 30 cases and used 12 days  .
Revised:  we chose as a starting point in each country the first day with 30 cases and we fitted for 12 days .
Edit intent: coherence
Original:  We looked  for linear correlations of the exponents  with other variables, using 126 countries.
Revised:  We looked for linear correlations of the exponents with other variables, for a sample of 126 countries.
Edit intent: clarity
Original:  , low Vitamin D levels ( p-value 0.002-0.006, smaller sample, \sim 50 countries  ).
Revised:  , low Vitamin D levels ( 0.002-0.006, smaller sample, \sim 50 countries ).
Edit intent: clarity
Original:  We also analyzed the possible existence of a bias: countries with low GDP-per capita , typically located in warm regions, might have less intense testing and we discuss correlation with the above variables.
Revised:  We also analyzed the possible existence of a bias: countries with low GDP-per capita might have less intense testing and we discuss correlation with the above variables.
Edit intent: clarity
Original:  We also analyzed the possible existence of a bias: countries with low GDP-per capita , typically located in warm regions, might have less intense testing and we discuss correlation with the above variables.
Revised:  We also analyzed the possible existence of a bias: countries with low GDP-per capita , typically located in warm regions, might have less testing and we discuss correlation with the above variables.
Edit intent: clarity
Original: Motivation: This study focuses on supervised prediction of aging-related genes from -omics data.
Revised:  This study focuses on supervised prediction of aging-related genes from -omics data.
Edit intent: coherence
Original:  Results: So, here, we propose computational advances towards improving prediction accuracy from a dynamic aging-specific subnetwork.
Revised:  So, here, we propose computational advances towards improving prediction accuracy from a dynamic aging-specific subnetwork.
Edit intent: coherence
Original: This study focuses on  supervised prediction of aging-related genes from -omics data.
Revised: This study focuses on the task of supervised prediction of aging-related genes from -omics data.
Edit intent: clarity
Original:  However, a dynamic aging-specific subnetwork did  improve prediction performance compared to a static aging-specific subnetwork, despite the aging process being dynamic.
Revised:  However, a dynamic aging-specific subnetwork did not improve prediction performance compared to a static aging-specific subnetwork, despite the aging process being dynamic.
Edit intent: coherence
Original: We study preference aggregation under uncertainty when individual and collective preferences are based on subjective expected utility  .
Revised: How should a group of agents decide among actions whose consequences are uncertain? I study this problem when agents and groups are subjective expected utility .
Edit intent: clarity
Original:  A natural procedure for determining the collective preferences of a group then is to average its members' beliefs and add up their (0,1)-normalized utility functions .
Revised:  A natural way to determine the preferences of a group then is to average its members' beliefs and add up their (0,1)-normalized utility functions .
Edit intent: clarity