wanyu/IteraTeR_v2 huggingface dataset:
Original:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Revised:  However, for time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Edit intent: clarity
Original:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Revised:  However, for the case of time-correlated channels, we demonstrate that statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Edit intent: fluency
Original:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Revised:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel may significantly improve the performance when compared to those of the simple-to-implement policies.
Edit intent: clarity
Original:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance when compared to those of the simple-to-implement policies.
Revised:  However, for the case of time-correlated channels, we demonstrate that the statistical knowledge of the channel state may significantly improve the performance over such policies.
Edit intent: clarity
Original:  Designed as a modern compiler IR inspired by LLVM and the Swift Intermediate Language, DLVM IR is more modular and more generic than existing deep learning compiler IRs , and supports tensor DSLs with high expressivity.
Revised:  Designed as a modern compiler infrastructure inspired by LLVM and the Swift Intermediate Language, DLVM IR is more modular and more generic than existing deep learning compiler IRs , and supports tensor DSLs with high expressivity.
Edit intent: clarity
Original:  Designed as a modern compiler IR inspired by LLVM and the Swift Intermediate Language, DLVM IR is more modular and more generic than existing deep learning compiler IRs , and supports tensor DSLs with high expressivity.
Revised:  Designed as a modern compiler IR inspired by LLVM , DLVM is more modular and more generic than existing deep learning compiler IRs , and supports tensor DSLs with high expressivity.
Edit intent: coherence
Original:  Designed as a modern compiler IR inspired by LLVM and the Swift Intermediate Language, DLVM IR is more modular and more generic than existing deep learning compiler IRs , and supports tensor DSLs with high expressivity.
Revised:  Designed as a modern compiler IR inspired by LLVM and the Swift Intermediate Language, DLVM IR is more modular and more generic than existing deep learning compiler frameworks , and supports tensor DSLs with high expressivity.
Edit intent: clarity
Original:  For MN-SRM, our method grants a modest improvement to out-of-sample reconstruction while relaxing the orthonormality constraint of SRM.
Revised:  For MN-SRM, our method grants a modest improvement to out-of-sample reconstruction while relaxing an orthonormality constraint of SRM.
Edit intent: fluency
Original: We consider the problem of representing a large population's behavior policy that drives the evolution of the population distribution over a discrete state space.
Revised: We consider the problem of representing collective behavior of large populations and predicting the evolution of the population distribution over a discrete state space.
Edit intent: clarity
Original: We consider the problem of representing a large population's behavior policy that drives the evolution of the population distribution over a discrete state space.
Revised: We consider the problem of representing a large population's behavior policy that drives the evolution of a population distribution over a discrete state space.
Edit intent: fluency
Original: Large libraries pose significant challenges to static points-to analysis.
Revised: When analyzing programs, large libraries pose significant challenges to static points-to analysis.
Edit intent: clarity
Original:  A popular solution is to have a human analyst provide points-to specifications that summarize relevant behaviors of library code, which can substantially improve precision and scalability, and furthermore handle missing code such as native code.
Revised:  A popular solution is to have a human analyst provide points-to specifications that summarize relevant behaviors of library code, which can substantially improve precision and furthermore handle missing code such as native code.
Edit intent: clarity
Original:  Atlas synthesizes test cases that exercise the library code, and then generates points-to specifications based on observations from these executions.
Revised:  Atlas synthesizes unit tests that exercise the library code, and then generates points-to specifications based on observations from these executions.
Edit intent: clarity
Original:  Atlas synthesizes test cases that exercise the library code, and then generates points-to specifications based on observations from these executions.
Revised:  Atlas synthesizes test cases that exercise the library code, and then infers points-to specifications based on observations from these executions.
Edit intent: clarity
Original:  A popular solution is to have a human analyst provide points-to specifications that summarize relevant behaviors of library code, which can substantially improve precision and furthermore handle missing code such as native code.
Revised:  A popular solution is to have a human analyst provide points-to specifications that summarize relevant behaviors of library code, which can substantially improve precision and handle missing code such as native code.
Edit intent: coherence
Original:  We propose Atlas , a tool that automatically infers points-to specifications.
Revised:  We propose ATLAS , a tool that automatically infers points-to specifications.
Edit intent: style
Original:  Atlas automatically infers specifications for the Java standard library, and produces better results for a client static information flow analysis on a benchmark of 46 Android apps compared to using existing handwritten specifications.
Revised:  ATLAS automatically infers specifications for the Java standard library, and produces better results for a client static information flow analysis on a benchmark of 46 Android apps compared to using existing handwritten specifications.
Edit intent: clarity
Original:  We derive a moment model which is able to replicate the most prominent features of the financial markets: oscillatory price behavior, booms and crashes.
Edit intent: coherence
Original: Plasticity is one of the most important features of the nervous systems that enable animals to adjust their behavior to an ever-changing external world.
Revised: Plasticity is one of the most important properties of the nervous systems that enable animals to adjust their behavior to an ever-changing external world.
Edit intent: clarity
Original: Plasticity is one of the most important features of the nervous systems that enable animals to adjust their behavior to an ever-changing external world.
Revised: Plasticity is one of the most important features of the nervous system, which enables animals to adjust their behavior to an ever-changing external world.
Edit intent: coherence
Original: Plasticity is one of the most important features of the nervous systems that enable animals to adjust their behavior to an ever-changing external world.
Revised: Plasticity is one of the most important features of the nervous systems that enable animals to adjust their behavior to the ever-changing external world.
Edit intent: fluency
Original:  A major mechanism of plasticity is the changes in synaptic efficacy between neurons , and therefore estimation of neural connections is crucial for investigating information processing in the brain.
Revised:  A major mechanism of plasticity is the changes in synaptic efficacy between neurons constitute one of the major mechanisms of plasticity. Therefore, estimation of neural connections is crucial for investigating information processing in the brain.
Edit intent: coherence
Original:  Although many analysis methods have been proposed to this end , most of them suffer from a mathematical difficulty that stems from the fact that activity of only a limited number of neurons are available.
Revised:  Although many analysis methods have been proposed for this purpose , most of them suffer from a mathematical difficulty that stems from the fact that activity of only a limited number of neurons are available.
Edit intent: clarity
Original:  To overcome this difficulty , a novel probabilistic framework is proposed for estimating neural connections from partially observed spikes .
Revised:  To overcome this difficulty , a novel probabilistic framework for estimating neural connections from partially observed spikes .
Edit intent: clarity
Original:  As a first step , Bcool constructs a corrected compacted de Bruijn graph from the reads.
Revised:  As a first st ep , Bcool constructs a corrected compacted de Bruijn graph from the reads.
Edit intent: fluency
Original:  As a first step , Bcool constructs a corrected compacted de Bruijn graph from the reads.
Revised:  As a first step , Bcool constructs a compacted de Bruijn graph from the reads.
Edit intent: clarity
Original:  This graph is then used as a reference and the reads are corrected according to their mapping on the graph .
Revised:  This graph is then used as a reference on which the reads are corrected according to their mapping on the graph .
Edit intent: clarity
Original:  This graph is then used as a reference and the reads are corrected according to their mapping on the graph .
Revised:  This graph is then used as a reference and the reads are mapped to correct them .
Edit intent: clarity
Original:  We show that this approach yields a better correction than kmer-spectrum techniques, while being scalable , making it possible to apply it to human-size genomic datasets and beyond.
Revised:  We show that this approach yields more accurate reads than k-mer-spectrum correctors while being scalable , making it possible to apply it to human-size genomic datasets and beyond.
Edit intent: clarity
Original:  We show that this approach yields a better correction than kmer-spectrum techniques, while being scalable , making it possible to apply it to human-size genomic datasets and beyond.
Revised:  We show that this approach yields a better correction than kmer-spectrum techniques, while being scalable to human-size genomic datasets and beyond.
Edit intent: coherence
Original: The goal of this paper is to demonstrate a method for tensorizing neural networks based upon an efficient way of approximating scale invariant quantum states, the Multi-scale Entanglement Renormalization Ansatz (MERA).
Revised: This paper demonstrates a method for tensorizing neural networks based upon an efficient way of approximating scale invariant quantum states, the Multi-scale Entanglement Renormalization Ansatz (MERA).
Edit intent: coherence
Original:  ATE remains a challenging task as it is known that no existing methods can consistently outperforms others in all domains .
Revised:  ATE remains a challenging task as it is known that there is no existing ATE methods that can consistently outperform others in any domain .
Edit intent: clarity
Original:  This work adopts a different strategy towards this problemas we propose to  'enhance' existing ATE methods instead of 'replace' them .
Revised:  This work adopts a different strategy towards this problemas we propose to 'enhance' existing ATE methods .
Edit intent: clarity
Original:  We introduce SemRe-Rank, a generic method based on the concept of incorporating semantic relatedness - an often overlooked venue - into an existing ATE method to further improve its performance.
Revised:  We introduce SemRe-Rank, a generic method based on this principle, to incorporate semantic relatedness - an often overlooked venue - into an existing ATE method to further improve its performance.
Edit intent: clarity
Original:  SemRe-Rank applies a personalized PageRank process to a semantic relatedness graph of words to compute their 'semantic importance' scores  , which are then used to revise the scores of term candidates computed by a base ATE algorithm.
Revised:  SemRe-Rank applies a personalized PageRank process to compute 'semantic importance' scores , which are then used to revise the scores of term candidates computed by a base ATE algorithm.
Edit intent: coherence
Original:  SemRe-Rank applies a personalized PageRank process to a semantic relatedness graph of words to compute their 'semantic importance' scores  , which are then used to revise the scores of term candidates computed by a base ATE algorithm.
Revised:  SemRe-Rank applies a personalized PageRank process to a semantic relatedness graph of words to compute their 'semantic importance' scores , which are then used to revise the scores of candidate terms computed by a base ATE algorithm.
Edit intent: fluency
Original:  it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15 percentage points when measured by the Precision in the top ranked K candidate terms ( Precision at top K ), or  28 percentage points in terms of F1  . Compared to an alternative approach built on the well-known TextRank algorithm, SemRe-Rank can potentially outperform by up to 8 points in Precision at top K, or up to 17 points in F1.
Revised:  it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15 percentage points when measured by the Precision in the top ranked K candidate terms ( Precision at top K ), or up to 28 percentage points in terms of F1 . Compared to an alternative approach built on the well-known TextRank algorithm, SemRe-Rank can potentially outperform by up to 8 points in Precision at top K, or up to 17 points in F1.
Edit intent: fluency
Original:  it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15 percentage points when measured by the Precision in the top ranked K candidate terms ( Precision at top K ), or  28 percentage points in terms of F1  . Compared to an alternative approach built on the well-known TextRank algorithm, SemRe-Rank can potentially outperform by up to 8 points in Precision at top K, or up to 17 points in F1.
Revised:  it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15 percentage points when measured by the Precision in the top ranked K candidate terms ( Precision at top K ), or 28 percentage points in F1 . Compared to an alternative approach built on the well-known TextRank algorithm, SemRe-Rank can potentially outperform by up to 8 points in Precision at top K, or up to 17 points in F1.
Edit intent: clarity
Original: In central neurons , action potentials (APs) originate in the axon initial segment (AIS) presumably due to its high concentration of voltage-dependent sodium (NaV) channels .
Revised: Central neurons initiate action potentials (APs) originate in the axon initial segment (AIS) presumably due to its high concentration of voltage-dependent sodium (NaV) channels .
Edit intent: clarity
Original: In central neurons , action potentials (APs) originate in the axon initial segment (AIS) presumably due to its high concentration of voltage-dependent sodium (NaV) channels .
Revised: In central neurons , action potentials (APs) in the axon initial segment (AIS) presumably due to its high concentration of voltage-dependent sodium (NaV) channels .
Edit intent: clarity
Original: In central neurons , action potentials (APs) originate in the axon initial segment (AIS) presumably due to its high concentration of voltage-dependent sodium (NaV) channels .
Revised: In central neurons , action potentials (APs) originate in the axon initial segment (AIS) , a compartment characterized by a high concentration of voltage-dependent sodium (NaV) channels .
Edit intent: clarity
Original:  In mouse hippocampal neurons, we examined a mutation of the AIS-specific protein%DIFDELCMD < \betaIV%%% -spectrin and assessed AP initiation locus, AIS molecular organization, and the precision of in vivo-like AP encoding.
Revised:  In mouse hippocampal neurons, we examined a mutation of the %DIFDELCMD < \betaIV%%% -spectrin and assessed AP initiation locus, AIS molecular organization, and the precision of in vivo-like AP encoding.
Edit intent: clarity
Original: We present a new proof rule for proving almost-sure termination of probabilistic programs, including those that contain demonic non-determinism.
Edit intent: coherence
Original:  Like others , we use variant functions (a.k.a. "super-martingales") that are real-valued and decrease randomly on each loop iteration;
Revised:  Like others , we use variant functions (a.k.a. "super-martingales") that are real-valued and probabilistically might decrease on each loop iteration;
Edit intent: clarity
Original: While the logical centralization of functional properties of the network in Software-Defined Networking (SDN ) brought advantages such as a faster pace of innovation, it also disrupted some of the natural defenses of traditional architectures against different threats.
Revised: While the centralization of SDN brought advantages such as a faster pace of innovation, it also disrupted some of the natural defenses of traditional architectures against different threats.
Edit intent: clarity
Original:  Though addressing the latter in an ad-hoc, piecemeal way, may work, it will most likely lead to efficiency and e effectiveness problems.
Revised:  Though addressing the latter in an ad-hoc, piecemeal way, may work, it will most likely lead to efficiency and effectiveness problems.
Edit intent: fluency
Original:  We further advocate, for its materialization, the re-iteration of the successful formula behind SDN - 'logical centralization'.
Edit intent: coherence
Original:  ANCHOR sets to provide essential security mechanisms such as strong entropy , secure device registration , and association , among other crucial services .
Revised:  Essential security mechanisms provided by anchor include reliable entropy and resilient pseudo-random generators, and protocols for secure registration and association of SDN devices .
Edit intent: clarity
Original:  We claim and justify in the paper that centralizing such mechanisms is key for their e ectiveness , by allowing us to: define and enforce global policies for those properties;
Revised:  We claim and justify in the paper that centralizing such mechanisms is key for their effectiveness , by allowing us to: define and enforce global policies for those properties;
Edit intent: fluency
Original:  and finally, better foster the resilience of the architecture itself.
Revised:  and promote the security and resilience of the architecture itself.
Edit intent: clarity
Original:  Finally weakening the information own by the agent , and assuming that she only knows a lower-bound  for the terminal value of the interest rate process, we show that the value of the information is finite  .
Revised:  Finally weakening the information own by the agent and assuming that she only knows a lower-bound for the terminal value of the interest rate process, we show that the value of the information is finite .
Edit intent: fluency
Original:  Through mathematical analysis of our model , we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic .
Revised:  Through mathematical analysis , we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic .
Edit intent: clarity
Original:  Through mathematical analysis of our model , we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic .
Revised:  Through mathematical analysis of our model , we show that no addiction-free equilibrium can exist without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic .
Edit intent: clarity
Original:  Through mathematical analysis of our model , we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic .
Revised:  Through mathematical analysis of our model , we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid epidemic into those found in a purely illicit drug model .
Edit intent: clarity
Original:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases  even when the probability of relapse  remains high.
Revised:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases even when the probability of relapse remains high.
Edit intent: clarity
Original:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases  even when the probability of relapse  remains high.
Revised:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by primarily focusing on medical prevention , followed by aggressive treatment of remaining cases even when the probability of relapse remains high.
Edit intent: fluency
Original:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases  even when the probability of relapse  remains high.
Revised:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention followed by aggressive treatment of remaining cases even when the probability of relapse remains high.
Edit intent: fluency
Original:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases  even when the probability of relapse  remains high.
Revised:  Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention , followed by aggressive treatment of remaining cases - even when the probability of relapse remains high.
Edit intent: fluency