wanyu/IteraTeR_v2 huggingface dataset:
Original:  Even though this is a fundamental principle in ecology , it has been observed empirically that in some settings it will fail .
Revised:  However , it has been observed empirically that in some settings it will fail .
Edit intent: coherence
Original:  Even though this is a fundamental principle in ecology , it has been observed empirically that in some settings it will fail .
Revised:  Even though this is a fundamental principle in ecology , it has been observed empirically that in some settings it is possible to have coexistence .
Edit intent: clarity
Original:  Both experimental and theoretical studies have shown that in some instances (deterministic) temporal fluctuations of the environment can facilitate coexistence for competing species.
Revised:  Both experimental and theoretical studies have shown that temporal fluctuations of the environment can facilitate coexistence for competing species.
Edit intent: clarity
Original:  If the environmental stochasticity is modeled by white noise, and the per-capita growth rates of the competitors depend linearly on the resources, we prove that the competitive exclusionprinciple has to hold .
Revised:  If the environmental fluctuations are modeled by white noise, and the per-capita growth rates of the competitors depend linearly on the resources, we prove that the competitive exclusionprinciple has to hold .
Edit intent: clarity
Original:  If the environmental stochasticity is modeled by white noise, and the per-capita growth rates of the competitors depend linearly on the resources, we prove that the competitive exclusionprinciple has to hold .
Revised:  If the environmental stochasticity is modeled by white noise, and the per-capita growth rates of the competitors depend linearly on the resources, we prove that there is competitive exclusion .
Edit intent: clarity
Original:  Maybe even more surprisingly, if the noise comes from switching the environment at random times between a finite number of possible states  it is possible for all species to coexist even if the growth rates depend linearly on the resources.
Revised:  Maybe even more surprisingly, if the temporal environmental variation comes from switching the environment at random times between a finite number of possible states it is possible for all species to coexist even if the growth rates depend linearly on the resources.
Edit intent: clarity
Original:  Maybe even more surprisingly, if the noise comes from switching the environment at random times between a finite number of possible states  it is possible for all species to coexist even if the growth rates depend linearly on the resources.
Revised:  Maybe even more surprisingly, if the noise comes from switching the environment at random times between a finite number of possible states , it is possible for all species to coexist even if the growth rates depend linearly on the resources.
Edit intent: fluency
Original:  Moreover, we show in an example  that, contrary to Hutchinson's explanation, one can switch between two environments in which the same species is favored and still get coexistence.
Revised:  We show in an example that, contrary to Hutchinson's explanation, one can switch between two environments in which the same species is favored and still get coexistence.
Edit intent: coherence
Original:  We show that, after learning, the vectors produced by our multi-view frameworks provide improved representations over their single-view learned counterparts, and the combination of different views gives representational improvement over each view and demonstrates solid transferability on standard downstream tasks.
Revised:  We show that, after learning, the vectors produced by our multi-view frameworks provide improved representations over their single-view learnt counterparts, and the combination of different views gives representational improvement over each view and demonstrates solid transferability on standard downstream tasks.
Edit intent: fluency
Original:  Distributional hypothesis provides another form of useful self-supervision from adjacent sentences which are plentiful in large unlabelled corpora.
Revised:  The distributional hypothesis provides another form of useful self-supervision from adjacent sentences which are plentiful in large unlabelled corpora.
Edit intent: clarity
Original:  Motivated by the asymmetry in the two hemispheres of the human brain as well as the observation that different learning architectures tend to emphasise different aspects of sentence meaning, we present two multi-view frameworks for learning sentence representations in an unsupervised fashion.
Revised:  Motivated by the observation that different learning architectures tend to emphasise different aspects of sentence meaning, we present two multi-view frameworks for learning sentence representations in an unsupervised fashion.
Edit intent: coherence
Original:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the input sentence with a Recurrent Neural Network (RNN), and the other view encodes it with a simple linear model.
Revised:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the sentence with a Recurrent Neural Network (RNN), and the other view encodes it with a simple linear model.
Edit intent: clarity
Original:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the input sentence with a Recurrent Neural Network (RNN), and the other view encodes it with a simple linear model.
Revised:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the input sentence with a recurrent neural network (RNN), and the other view encodes it with a simple linear model.
Edit intent: fluency
Original:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the input sentence with a Recurrent Neural Network (RNN), and the other view encodes it with a simple linear model.
Revised:  In both frameworks, the final representation is an ensemble of two views , in which, one view encodes the input sentence with a Recurrent Neural Network (RNN), and the other view encodes the same sentence with a simple linear model.
Edit intent: clarity
Original:  We show that, after learning, the vectors produced by our multi-view frameworks provide improved representations over their single-view learnt counterparts , and the combination of different views gives representational improvement over each view and demonstrates solid transferability on standard downstream tasks .
Revised:  After learning, the vectors produced by our multi-view frameworks provide improved representations over their single-view learnt counterparts , and the combination of different views gives representational improvement over each view and demonstrates solid transferability on standard downstream tasks .
Edit intent: coherence
Original:  This problem is known to be polynomial-time solvable for a wide variety of graphs  (e.g. all C_4-free graphs) but only a handful of hard cases are known.
Revised:  This problem is known to be polynomial-time solvable for a wide variety of graphs H (e.g. all C_4-free graphs) but only a handful of hard cases are known.
Edit intent: fluency
Original:  The generalized hyperbolic distribution is efficiently approximated as a finite normal variance-mean mixture with the quadrature .
Revised:  The generalized hyperbolic distribution is efficiently approximated as a finite normal variance-mean mixture .
Edit intent: clarity
Original:  Therefore, the expectations under the distribution, such as cumulative distribution function and  option price, are accurately computed as weighted sums of those under normal distributions  .
Revised:  Therefore, the expectations under the distribution, such as cumulative distribution function and European option price, are accurately computed as weighted sums of those under normal distributions .
Edit intent: fluency
Original: In this study, a numerical quadrature for the generalized inverse Gaussian distribution is derived from the Gauss--Hermite quadrature by exploiting its relationship with the normal distribution.
Revised: In this study, a numerical quadrature for the generalized inverse Gaussian distribution is derived from the Gauss-Hermite quadrature by exploiting its relationship with the normal distribution.
Edit intent: fluency
Original:  The random variates from the generalized hyperbolic distribution are also sampled in a straightforward manner.
Revised:  The generalized hyperbolic random variates are also sampled in a straightforward manner.
Edit intent: clarity
Original:  Assuming the presence of feedback in the form of a common reward to the agents, a conventional approach would apply separately: ( i ) an off-the-shelf coding and decoding scheme in order to enhance the reliability of the communication of the state of one agent to the other;
Revised:  Assuming the presence of feedback in the form of a common reward to the agents, a conventional approach would apply separately: ( i ) an off-the-shelf coding and decoding scheme in order to enhance the reliability of the communication of the state of one agent to the other;
Edit intent: fluency
Original:  and ( ii ) a standard multi-agent reinforcement learning strategy to learn how to act in the resulting environment.
Revised:  and ( ii ) a standard multi-agent reinforcement learning strategy to learn how to act in the resulting environment.
Edit intent: fluency
Original: Given positive integers n\ge 2k, a Kneser graph KG_{n,k} is a graph whose vertex set is the collection of all k-element subsets of the set \{1,\ldots, n\}, with edges connecting pairs of disjoint sets.
Revised: Given positive integers n\ge 2k, the Kneser graph KG_{n,k} is a graph whose vertex set is the collection of all k-element subsets of the set \{1,\ldots, n\}, with edges connecting pairs of disjoint sets.
Edit intent: fluency
Original:  One of the classical results in combinatorics, conjectured by M. Kneser and proved by L. Lov\'asz, states that the chromatic number of KG_{n,k} is equal to n-2k+2.
Revised:  One of the classical results in combinatorics, conjectured by Kneser and proved by L. Lov\'asz, states that the chromatic number of KG_{n,k} is equal to n-2k+2.
Edit intent: clarity
Original:  One of the classical results in combinatorics, conjectured by M. Kneser and proved by L. Lov\'asz, states that the chromatic number of KG_{n,k} is equal to n-2k+2.
Revised:  One of the classical results in combinatorics, conjectured by M. Kneser and proved by Lov\'asz, states that the chromatic number of KG_{n,k} is equal to n-2k+2.
Edit intent: clarity
Original: Given positive integers n\ge 2k, the Kneser graph {\it  KG_{n,k} is a graph whose vertex set is the collection of all k-element subsets of the set \{1,\ldots, n\}, with edges connecting pairs of disjoint sets.
Revised: Given positive integers n\ge 2k, the {\it KG_{n,k} is a graph whose vertex set is the collection of all k-element subsets of the set \{1,\ldots, n\}, with edges connecting pairs of disjoint sets.
Edit intent: clarity
Original:  We also prove that, for any fixed l%DIFDELCMD < \ge %%% 6 and k\ge C\sqrt[2l-3%DIFDELCMD < ]{\logn}%%%  , we have \chi(KG_{n,k}(1/2))\ge n-2k+2-2l, where C=C(l) is an absolute constant .
Revised:  We also prove that, for %DIFDELCMD < \ge %%% 6 and k\ge C\sqrt[2l-3%DIFDELCMD < ]{\logn}%%% , we have \chi(KG_{n,k}(1/2))\ge n-2k+2-2l, where C=C(l) is an absolute constant .
Edit intent: clarity
Original:  We also prove that, for any fixed l%DIFDELCMD < \ge %%% 6 and k\ge C\sqrt[2l-3%DIFDELCMD < ]{\logn}%%%  , we have \chi(KG_{n,k}(1/2))\ge n-2k+2-2l, where C=C(l) is an absolute constant .
Revised:  We also prove that, for any fixed l%DIFDELCMD < \ge %%% k\ge C\sqrt[2l-3%DIFDELCMD < ]{\logn}%%% , we have \chi(KG_{n,k}(1/2))\ge n-2k+2-2l, where C=C(l) is an absolute constant .
Edit intent: coherence
Original:  Nevertheless, what is observed at the sensor space with either technique is a superposition of projected fields, from the whole Gray-Matter PCD.
Revised:  Nevertheless, what we observe at the sensor space with either technique is a superposition of projected fields, from the whole Gray-Matter PCD.
Edit intent: fluency
Original:  Nevertheless, what is observed at the sensor space with either technique is a superposition of projected fields, from the whole Gray-Matter PCD.
Revised:  Nevertheless, what is observed at the sensor space is a superposition of projected fields, from the whole Gray-Matter PCD.
Edit intent: clarity
Original:  That is the reason for a major pitfall of MEEG analysis methods, distorted reconstruction of source activity and its connectivity or "Leakage".
Revised:  That is the reason for a major pitfall of MEEG analysis methods, distorted reconstruction of neural activity and its connectivity or "Leakage".
Edit intent: clarity
Original:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either System Theory and Bayesian Formalism .
Revised:  It has been proven that current methods produce incorrect connectomes . Somewhat related to the incorrect connectivity modelling : they disregard either System Theory and Bayesian Formalism .
Edit intent: clarity
Original:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either System Theory and Bayesian Formalism .
Revised:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling , they disregard either System Theory and Bayesian Formalism .
Edit intent: fluency
Original:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either System Theory and Bayesian Formalism .
Revised:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either Systems Theory and Bayesian Formalism .
Edit intent: fluency
Original:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either System Theory and Bayesian Formalism .
Revised:  It has been proven that current methods produce incorrect connectomes , also related to incorrect connectivity modelling : they disregard either System Theory and Bayesian Information Theory .
Edit intent: clarity
Original:  Open source packages  , to reproduce the results presented in this paper and to analyze external MEEG databases , are freely available online .
Revised:  Open source packages are freely available online , to reproduce the results presented in this paper and to analyze external MEEG databases , are freely available online .
Edit intent: fluency
Original:  Open source packages  , to reproduce the results presented in this paper and to analyze external MEEG databases , are freely available online .
Revised:  Open source packages , to reproduce the results presented in this paper and to analyze external MEEG databases .
Edit intent: clarity
Original:  We prove that the error in the tensor-train approximation propagates linearly into the Metropolis--Hastings rejection rate and the integrated autocorrelation time of the resulting Markov chain.
Revised:  We show that the error in the tensor-train approximation propagates linearly into the Metropolis--Hastings rejection rate and the integrated autocorrelation time of the resulting Markov chain.
Edit intent: coherence
Original:  Two previously existing combinations use either a standard evolutionary algorithm or a goal exploration process together with the DDPG algorithm, a sample efficient off-policy deep RL algorithm.
Revised:  Two previously existing combinations use either an ad hoc evolutionary algorithm or a goal exploration process together with the DDPG algorithm, a sample efficient off-policy deep RL algorithm.
Edit intent: clarity
Original:  In this paper, we propose a different combination scheme using the simple cross-entropy method (CEM) and TD3 , another off-policy deep RL algorithm which improves over DDPG . We evaluate the resulting algorithm, CEM-RL , on a set of benchmarks classically used in deep RL.
Revised:  In this paper, we propose a different combination scheme using the simple cross-entropy method (CEM) and TD3 , another off-policy deep RL algorithm which improves over ddpg . We evaluate the resulting algorithm, CEM-RL , on a set of benchmarks classically used in deep RL.
Edit intent: clarity
Original:  In this paper, we propose a different combination scheme using the simple cross-entropy method (CEM) and TD3 , another off-policy deep RL algorithm which improves over DDPG . We evaluate the resulting algorithm, CEM-RL , on a set of benchmarks classically used in deep RL.
Revised:  In this paper, we propose a different combination scheme using the simple cross-entropy method (CEM) and TD3 , another off-policy deep RL algorithm which improves over DDPG . We evaluate the resulting method, cem-rl , on a set of benchmarks classically used in deep RL.
Edit intent: clarity
Original:  We show that CEM-RL benefits from several advantages over its competitors and offers a satisfactory trade-off between performance and sample efficiency.
Revised:  We show that cem-rl benefits from several advantages over its competitors and offers a satisfactory trade-off between performance and sample efficiency.
Edit intent: fluency
Original: We investigate the scheduling of n jobs divided into c classes /batches on m identical parallel machines.
Revised: We investigate the scheduling of n jobs divided into c classes on m identical parallel machines.
Edit intent: fluency
Original:  We give near-linear approximation algorithms for the following problem variants: the non-preemptive problem context where jobs may not be preempted, the preemptive context where jobs may be preempted but not parallelized, as well as the splittable context where jobs may be preempted and parallelized.
Revised:  We give near-linear approximation algorithms for the following problem variants: the non-preemptive context where jobs may not be preempted, the preemptive context where jobs may be preempted but not parallelized, as well as the splittable context where jobs may be preempted and parallelized.
Edit intent: fluency
Original:  In more detail, for all three flavors we present an approximation ratio 2 with running time O(n), ratio 3/2+ \epsilon in time O(n\log 1/ \epsilon ) as well as a ratio of 3/2.
Revised:  In more detail, for all three flavors we present an approximation ratio 2 with running time O(n), ratio 3/2+ \epsilon in time O(n\log 1/ \varepsilon ) as well as a ratio of 3/2.
Edit intent: fluency
Original:  For the non-preemptive case we get time O(n\log (n+\Delta)) where \Delta is the largest value of the input.
Revised:  In the non-preemptive case we get time O(n\log (n+\Delta)) where \Delta is the largest value of the input.
Edit intent: fluency
Original:  The splittable approximation needs a running time of O(n+c\log(c+m)) whereas the algorithm for the preemptive context has a running time \mathcal{O}(n \log (c+m)) \leq \mathcal{O}(n \log n).
Revised:  The splittable approximation runs in time O(n+c\log(c+m)) whereas the algorithm for the preemptive context has a running time \mathcal{O}(n \log (c+m)) \leq \mathcal{O}(n \log n).
Edit intent: clarity
Original:  The splittable approximation needs a running time of O(n+c\log(c+m)) whereas the algorithm for the preemptive context has a running time \mathcal{O}(n \log (c+m)) \leq \mathcal{O}(n \log n).
Revised:  The splittable approximation needs a running time of O(n+c\log(c+m)) whereas the preemptive algorithm has a running time \mathcal{O}(n \log (c+m)) \leq \mathcal{O}(n \log n).
Edit intent: clarity
Original: Space situation awareness (SSA) includes tracking of active and inactive resident space objects (RSOs) and space weather assessment through space environmental data collection and processing.
Revised: Space situation awareness (SSA) includes tracking of active and inactive resident space objects (RSOs) and assessing the space environment through sensor data collection and processing.
Edit intent: clarity
Original:   For information management, there is a need for identity authentication and access control strategy to ensure the integrity of exchanged data as well as to grant authorized entities access right to data and services.
Revised:  For information management, there is a need for identity authentication and access control to ensure the integrity of exchanged data as well as to grant authorized entities access right to data and services.
Edit intent: clarity
Original:  Due to decentralization and heterogeneity nature of SSA systems, it is very challenging to build a efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Revised:  Due to decentralization and heterogeneity of SSA systems, it is very challenging to build a efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Edit intent: clarity
Original:  Due to decentralization and heterogeneity nature of SSA systems, it is very challenging to build a efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Revised:  Due to decentralization and heterogeneity nature of SSA systems, it is challenging to build a efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Edit intent: coherence
Original:  Due to decentralization and heterogeneity nature of SSA systems, it is very challenging to build a efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Revised:  Due to decentralization and heterogeneity nature of SSA systems, it is very challenging to build an efficient centralized access control system, which could either be a performance bottleneck or the single point of failure.
Edit intent: fluency
Original:  A robust identity-based capability token management strategy is proposed , which takes advantage of the smart contract for registration, propagation, and revocation of the access authorization .
Revised:  A robust identity-based capability token management strategy is proposed .
Edit intent: coherence
Original:  The Hi-C data shows that chromosomes are composed of 3D compartments that range over a variety of scales.
Revised:  The Hi-C data show that chromosomes are composed of 3D compartments that range over a variety of scales.
Edit intent: fluency
Original:  (ii) CTCF proteins---a loop-stabilizing protein that is ascribed a big role in TAD formation---are correlated well with community borders only at one level of organization.
Revised:  (ii) CTCF proteins---a loop-stabilizing protein that is ascribed a big role in TAD formation---are well correlated with community borders only at one level of organization.
Edit intent: coherence
Original:  We introduce a network model that captures this type of variance in assortativity along with an expectation-maximization algorithm for fitting it to observed network data.
Revised:  We introduce a network model that captures this behavior and a method for fitting it to observed network data.
Edit intent: clarity
Original:  We introduce a network model that captures this type of variance in assortativity along with an expectation-maximization algorithm for fitting it to observed network data.
Revised:  We introduce a network model that captures this type of variance in assortativity along with an expectation-maximization algorithm for fitting it to empirical network data.
Edit intent: clarity