wanyu/IteraTeR_v2 huggingface dataset:
Original:  We argue that it can be used to determine whether trades at a tick-by-tick scale are best represented as samples from a Brownian diffusion, perhaps dressed with jumps;
Revised:  We argue that it can be used to determine whether trades at a tick-by-tick scale are best represented as samples from Brownian diffusions,
Edit intent: coherence
Original:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Revised:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Edit intent: clarity
Original:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Revised:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of interconnected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Edit intent: fluency
Original:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Revised:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than being samples from continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Edit intent: clarity
Original:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions irrespective of whether or not they are dressed with jumps .
Revised:  We find evidence suggesting that high frequency correlation dynamics are most faithfully recovered when tick-by-tick data is represented as a web of inter-connected discrete events rather than sampled or averaged from underlying continuous Brownian diffusions even when combined with noise .
Edit intent: clarity
Original: This paper studies an optimal forward investment problem in an incomplete market with model uncertainty, in which the dynamics of the underlying stocks depends on the correlated stochastic factors.
Revised: This paper studies an optimal forward investment problem in an incomplete market with model uncertainty, in which the underlying stocks depend on the correlated stochastic factors.
Edit intent: clarity
Original:  We obtain directly the representation of the power robust forward performance process in factor-form by combining the zero-sum stochastic differential game and ergodic BSDE approach.
Revised:  We obtain directly the representation of the power robust forward performance processes in factor-form by combining the zero-sum stochastic differential game and ergodic BSDE approach.
Edit intent: fluency
Original:  The platform offers two types of matches to workers: an " adopted match " which entails repeatedly matching with the same job or a one-time match.
Revised:  The platform offers two types of matches to workers: an " adoption. " which entails repeatedly matching with the same job or a one-time match.
Edit intent: fluency
Original:  For sufficiently thick markets, we show that the optimal single-period policy is also optimal for maximizing the total discounted number of matches .
Revised:  For sufficiently thick markets, we show that the optimal single-period policy is also optimal in the long run .
Edit intent: clarity
Original:  In thinner markets, even though a static policy of full or no adoption can be suboptimal,  it achieves a constant-factor approximation where the factor improves with market thickness  .
Revised:  In thinner markets, even though a static policy of full or no adoption can be suboptimal, we show it achieves a constant-factor approximation where the factor improves with market thickness .
Edit intent: clarity
Original: Volunteer crowdsourcing platforms , such as food recovery organizations, match volunteers with tasks which are often recurring.
Revised: Volunteer crowdsourcing platforms match volunteers with tasks which are often recurring.
Edit intent: clarity
Original:  To ensure completion of such tasks, platforms frequently use a commitment lever known as "adoption . " Despite being effective in reducing match uncertainty, high levels of adoption reduce match availability for volunteers which in turn can suppress future engagement .
Revised:  To ensure completion of such tasks, platforms frequently use a lever known as "adoption . " Despite being effective in reducing match uncertainty, high levels of adoption reduce match availability for volunteers which in turn can suppress future engagement .
Edit intent: clarity
Original:  To ensure completion of such tasks, platforms frequently use a commitment lever known as "adoption . " Despite being effective in reducing match uncertainty, high levels of adoption reduce match availability for volunteers which in turn can suppress future engagement .
Revised:  To ensure completion of such tasks, platforms frequently use a commitment lever known as "adoption . " Despite being effective in reducing match uncertainty, high levels of adoption reduce match availability for volunteers which in turn can suppress growth .
Edit intent: clarity
Original:  We study how platforms should balance these two opposing factors .
Revised:  We study how platforms should manage this trade-off .
Edit intent: clarity
Original:  Our research is motivated by a collaboration with Food Rescue U.S. (FRUS), a volunteer-based food recovery organization active in over 33 locationsacross the U. S. For platforms such as FRUS, success crucially depends on efficient volunteer utilization and engagement.
Revised:  Our research is motivated by a collaboration with Food Rescue U.S. (FRUS), a volunteer-based food recovery organization active in over 33 locationsacross the U. S. For platforms such as FRUS, success crucially depends on volunteer engagement.
Edit intent: clarity
Original:  Based on our analysis of fine-grained FRUS data, we develop a model for a repeated two-sided matching market consisting of tasks (prearranged donations) and volunteers .
Revised:  Based on our analysis of FRUS data, we develop a model for a repeated two-sided matching market consisting of tasks (prearranged donations) and volunteers .
Edit intent: clarity
Original:  Based on our analysis of fine-grained FRUS data, we develop a model for a repeated two-sided matching market consisting of tasks (prearranged donations) and volunteers .
Revised:  Based on our analysis of fine-grained FRUS data, we develop a model for two-sided matching market consisting of tasks (prearranged donations) and volunteers .
Edit intent: clarity
Original:  Based on our analysis of fine-grained FRUS data, we develop a model for a repeated two-sided matching market consisting of tasks (prearranged donations) and volunteers .
Revised:  Based on our analysis of fine-grained FRUS data, we develop a model for a repeated two-sided markets which repeatedly match volunteers with tasks .
Edit intent: clarity
Original:  Our model incorporates the uncertainty in match compatibility as well as the negative impact of failing to match on future engagement.
Revised:  Our model incorporates match uncertainty as well as the negative impact of failing to match on future engagement.
Edit intent: clarity
Original:  Our analysis reveals that the optimal myopic policy is either full or no adoption.
Revised:  We fully characterize the optimal myopic policy is either full or no adoption.
Edit intent: clarity
Original:  More broadly, our work sheds light on how other two-sided platforms can control the double-edged impacts that commitment levers have on growth and engagement  .
Revised:  More broadly, our work sheds light on how two-sided platforms can control the double-edged impacts that commitment levers have on growth and engagement .
Edit intent: clarity
Original:  More broadly, our work sheds light on how other two-sided platforms can control the double-edged impacts that commitment levers have on growth and engagement  .
Revised:  More broadly, our work sheds light on how other two-sided platforms need to carefully control the double-edged impacts that commitment levers have on growth and engagement .
Edit intent: clarity
Original:  The comparison considers all scientific documents from the period 2008-2017 covered by these data sources.
Revised:  The comparison considers scientific documents from the period 2008-2017 covered by these data sources.
Edit intent: clarity
Original:  We focus on two clustering models, constant high-order clustering (CHC) and rank-one higher-order clustering (ROHC), and study the methods and theories for testing whether a cluster exists (detection) and identifying the support of cluster (recovery).
Revised:  We focus on two clustering models, constant high-order clustering (CHC) and rank-one higher-order clustering (ROHC), and study the methods and theory for testing whether a cluster exists (detection) and identifying the support of cluster (recovery).
Edit intent: fluency
Original:  Specifically, we identify  sharp boundaries of signal-to-noise ratio for which CHC and ROHC detection/recovery are statistically possible.
Revised:  Specifically, we identify the sharp boundaries of signal-to-noise ratio for which CHC and ROHC detection/recovery are statistically possible.
Edit intent: fluency
Original:  We also develop  tight computational thresholds: when the signal-to-noise ratio is below these thresholds, we prove that polynomial-time algorithms cannot solve these problems under the computational hardness conjectures of hypergraphic planted clique (HPC) detection and hypergraphic planted dense subgraph (HPDS) recovery.
Revised:  We also develop the tight computational thresholds: when the signal-to-noise ratio is below these thresholds, we prove that polynomial-time algorithms cannot solve these problems under the computational hardness conjectures of hypergraphic planted clique (HPC) detection and hypergraphic planted dense subgraph (HPDS) recovery.
Edit intent: fluency
Original:  In addition, we also provide evidence for the computational hardness conjectures of HPC detection and HPDS recovery.
Revised:  Finally, we provide evidence for the computational hardness conjectures of HPC detection and HPDS recovery.
Edit intent: coherence
Original:  In this work, we plug this gap through market based mechanisms  to efficiently allocate capacity constrained public goods.
Revised:  In this work, we plug this gap through market based mechanisms designed to efficiently allocate capacity constrained public goods.
Edit intent: clarity
Original:  To design these mechanisms, we leverage the theory of Fisher markets, wherein each agent  is endowed with an artificial currency budget that they can spend to avail public goods.
Revised:  To design these mechanisms, we leverage the theory of Fisher markets, wherein each agent in the economy is endowed with an artificial currency budget that they can spend to avail public goods.
Edit intent: clarity
Original:  In our  mechanism, we specifically modify the Fisher market social optimization problem through a perturbation of the budgets of agents.
Revised:  In our market mechanism, we specifically modify the Fisher market social optimization problem through a perturbation of the budgets of agents.
Edit intent: fluency
Original:  While the perturbed social problem may not resemble the original societal objective, we show that the optimal allocation corresponding to the perturbed problem is closely related to that of the unperturbed problem .
Revised:  This establishes that our mechanism sets market clearing prices such that each agent obtains their maximum possible utilities subject to their constraints .
Edit intent: clarity
Original:  Finally, to compute the perturbation constants we present a fixed point procedure, establish its convergence and present numerical experiments to corroborate our convergence results .
Revised:  Finally, to compute the perturbation constants we present a fixed point scheme, establish the existence of a unique fixed point and present numerical experiments to corroborate our convergence results .
Edit intent: clarity
Original:  Finally, to compute the perturbation constants we present a fixed point procedure, establish its convergence and present numerical experiments to corroborate our convergence results .
Revised:  Finally, to compute the perturbation constants we present a fixed point procedure, establish its convergence and present numerical experiments to illustrate convergence guarantees .
Edit intent: clarity
Original:  Finally, to compute the perturbation constants we present a fixed point scheme , establish the existence of a unique fixed point and present numerical experiments to illustrate convergence guarantees  .
Revised:  Finally, to compute the budget perturbations we present a fixed point scheme , establish the existence of a unique fixed point and present numerical experiments to illustrate convergence guarantees .
Edit intent: clarity
Original:  Finally, to compute the perturbation constants we present a fixed point scheme , establish the existence of a unique fixed point and present numerical experiments to illustrate convergence guarantees  .
Revised:  Finally, to compute the perturbation constants we present a fixed point scheme and illustrate convergence guarantees .
Edit intent: clarity
Original:  Finally, to compute the perturbation constants we present a fixed point scheme , establish the existence of a unique fixed point and present numerical experiments to illustrate convergence guarantees  .
Revised:  Finally, to compute the perturbation constants we present a fixed point scheme , establish the existence of a unique fixed point and present numerical experiments to illustrate convergence guarantees through numerical experiments .
Edit intent: clarity
Original:  Currently, most of the methods address the problem with global style transfer, assuming styles can be represented by global statistics , such as Gram matrices or covariance matrices .
Revised:  Currently, most of the methods address the problem with global style transfer, assuming styles can be represented with global statistics (e.g., Gram matrices or covariance matrices .
Edit intent: clarity
Original:  In this paper, we make a different assumption that local semantically aligned (or similar) regions between the content and style images should share similar style patterns . Based on this assumption, content features and style features are seen as two sets of manifolds and a manifold alignment based style transfer (MAST) method is proposed.
Revised:  In this paper, we make a different assumption that local semantically aligned (or similar) regions between the content and style images should share similar style patterns . Based on this assumption, content features and style features are seen as two sets of manifolds and a manifold alignment based style transfer (MAST) framework is proposed.
Edit intent: clarity
Original:  Based on this insight, we introduce new cache DoS attacks, which can be mounted from the user-space and can cause extreme WCET impacts to cross-core victims---even if the shared cache is partitioned---by taking advantage of the platform's memory address mapping information and HugePage support.
Revised:  Based on this insight, we introduce new cache DoS attacks, which can be mounted from the user-space and can cause extreme WCET impacts to cross-core victims -- even if the shared cache is partitioned---by taking advantage of the platform's memory address mapping information and HugePage support.
Edit intent: fluency
Original:  Based on this insight, we introduce new cache DoS attacks, which can be mounted from the user-space and can cause extreme WCET impacts to cross-core victims---even if the shared cache is partitioned---by taking advantage of the platform's memory address mapping information and HugePage support.
Revised:  Based on this insight, we introduce new cache DoS attacks, which can be mounted from the user-space and can cause extreme WCET impacts to cross-core victims---even if the shared cache is partitioned -- by taking advantage of the platform's memory address mapping information and HugePage support.
Edit intent: fluency
Original: The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter hostile influence operations ( IO ).
Revised: The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter hostile influence operations ( IOs ).
Edit intent: clarity
Original:  however, it is generally not provided as a discrete quantity and needs to be derived from free text medication instructions (Sigs)in the structured electronic health record (EHR) . Existing works in daily dosage extraction are narrow in scope, dealing with dosage extraction for a single drug from clinical notes.
Revised:  however, it is generally not provided and needs to be derived from free text medication instructions (Sigs)in the structured electronic health record (EHR) . Existing works in daily dosage extraction are narrow in scope, dealing with dosage extraction for a single drug from clinical notes.
Edit intent: clarity
Original:  however, it is generally not provided as a discrete quantity and needs to be derived from free text medication instructions (Sigs)in the structured electronic health record (EHR) . Existing works in daily dosage extraction are narrow in scope, dealing with dosage extraction for a single drug from clinical notes.
Revised:  however, it is generally not provided as a discrete quantity and needs to be derived from free text instructions (Sig) . Existing works in daily dosage extraction are narrow in scope, dealing with dosage extraction for a single drug from clinical notes.
Edit intent: clarity
Original:  however, it is generally not provided as a discrete quantity and needs to be derived from free text medication instructions (Sigs)in the structured electronic health record (EHR) . Existing works in daily dosage extraction are narrow in scope, dealing with dosage extraction for a single drug from clinical notes.
Revised:  however, it is generally not provided as a discrete quantity and needs to be derived from free text medication instructions (Sigs)in the structured electronic health record (EHR) . Existing works in daily dosage extraction are narrow in scope, targeting dosage extraction for a single drug from clinical notes.
Edit intent: clarity
Original:  Current methods for similarity search of trajectories  are inefficient in terms of search time and memory when applied to massive datasets.
Revised:  Current methods for similarity search of trajectories ; however, those methods are inefficient in terms of search time and memory when applied to massive datasets.
Edit intent: coherence
Original:  This paper presentsCovidNet , a COVID-19 tracking project associated with a largescale epidemic dataset, which was initiated by 1Point3Acres.
Revised:  This paper presents CovidNet , a COVID-19 tracking project associated with a largescale epidemic dataset, which was initiated by 1Point3Acres.
Edit intent: fluency
Original:  This paper presentsCovidNet , a COVID-19 tracking project associated with a largescale epidemic dataset, which was initiated by 1Point3Acres.
Revised:  This paper presentsCovidNet , a COVID-19 tracking project associated with a large scale epidemic dataset, which was initiated by 1Point3Acres.
Edit intent: fluency
Original:  All datasets are openly accessible for non-commercial purposes  URL via a formal request through our APIs 
Revised:  All datasets are openly accessible for non-commercial purposes at URL via a formal request through our APIs 
Edit intent: clarity
Original:  All datasets are openly accessible for non-commercial purposes  URL via a formal request through our APIs 
Revised:  All datasets are openly accessible for non-commercial purposes URL via a formal request through our APIs .
Edit intent: fluency
Original:  Despite the advantages , the parallel TTS models cannot be trained without guidance from autoregressive TTS models as their external aligners.
Revised:  Despite the advantage , the parallel TTS models cannot be trained without guidance from autoregressive TTS models as their external aligners.
Edit intent: fluency
Original:  By leveraging the properties of flows , MAS searches for the most probable monotonic alignment between text and the latent representation of speech . Glow-TTS obtains an order-of-magnitude speed-up over the autoregressive TTS model, Tacotron 2, at synthesis with comparable speech quality , requiring only 1.5 seconds to synthesize one minute of speech in end-to-end .
Revised:  By leveraging the properties of flows , MAS searches for the most probable monotonic alignment between text and the latent representation of speech . Glow-TTS obtains an order-of-magnitude speed-up over the autoregressive model, Tacotron 2, at synthesis with comparable speech quality , requiring only 1.5 seconds to synthesize one minute of speech in end-to-end .
Edit intent: clarity
Original:  By leveraging the properties of flows , MAS searches for the most probable monotonic alignment between text and the latent representation of speech . Glow-TTS obtains an order-of-magnitude speed-up over the autoregressive TTS model, Tacotron 2, at synthesis with comparable speech quality , requiring only 1.5 seconds to synthesize one minute of speech in end-to-end .
Revised:  By leveraging the properties of flows , MAS searches for the most probable monotonic alignment between text and the latent representation of speech . Glow-TTS obtains an order-of-magnitude speed-up over the autoregressive TTS model, Tacotron 2, at synthesis with comparable speech quality .
Edit intent: coherence
Original:  We combine neural networks with genetic algorithms to find parsimonious models that describe the time evolution of a point particle subjected to an external potential.
Revised:  We combine neural networks with evolutionary optimization to find the simplest models that describe the time evolution of a point particle subjected to an external potential.
Edit intent: clarity
Original:  Our PNN is immediately interpretable as the position Verlet algorithm, a non-trivial integrator whose justification originates from Trotter's theorem .
Revised:  Furthermore, the models discovered belong to the widely used family of Verlet algorithms which are not only reversible but symplectic .
Edit intent: coherence
Original: Machine learning is playing an increasing role in the physical sciences and significant progress has been made towards embedding physics into domain-agnostic models.
Revised: Machine learning is playing an increasing role in the physical sciences and significant progress has been made towards embedding domain knowledge into models.
Edit intent: clarity