wanyu/IteraTeR_v2 huggingface dataset:
Original:  In this paper, we review a subset of these methods called asynchronous quorum-based methods, which are independent of synchronization between nodes, and their performances are investigated in different metrics.
Revised:  In this paper, we review a subset of these methods called asynchronous quorum-based methods, independent of synchronization between nodes, and their performances are investigated in different metrics.
Edit intent: coherence
Original:  In this paper, we review a subset of these methods called asynchronous quorum-based methods, which are independent of synchronization between nodes, and their performances are investigated in different metrics.
Revised:  In this paper, we review a subset of these methods called asynchronous quorum-based methods, which are independent of synchronization between nodes, and investigate their performances in different metrics.
Edit intent: coherence
Original:  Then,  a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Revised:  Then, we propose a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Edit intent: clarity
Original:  Then,  a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Revised:  Then, a new metric to investigate the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Edit intent: clarity
Original:  Then,  a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Revised:  Then, a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks . Next, we study the performances of all discussed methods in the paper are studied using the proposed metric.
Edit intent: coherence
Original:  Then,  a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods in the paper are studied using the proposed metric.
Revised:  Then, a new metric is proposed which investigates the latency of adjacent nodes in wireless sensor networks and the performances of all discussed methods using the proposed metric.
Edit intent: clarity
Original:  Finally,  the best and worst methods based on different metrics are introduced .
Revised:  Finally, we introduce the best and worst methods based on different metrics are introduced .
Edit intent: coherence
Original:  Finally,  the best and worst methods based on different metrics are introduced .
Revised:  Finally, the best and worst methods based on different metrics .
Edit intent: clarity
Original:  Via relating experienced transition's importance to its associated quantum bit (qubit) and applying Grover iteration based amplitude amplification technique, the proposed DRL-QiER solution can commit a better trade-off between sampling priority and diversity.
Revised:  Via relating experienced transition's importance to its associated quantum bit (qubit) and applying Grover iteration based amplitude amplification technique, the proposed DRL-QiER solution commits a better trade-off between sampling priority and diversity.
Edit intent: clarity
Original:  A pair equivariantly relatively submajorizes another if there is an equivariant subnormalized channel that takes the components of the first pair  a pair satisfying similar positivity constraints as in the definition of relative submajorization.
Revised:  A pair equivariantly relatively submajorizes another if there is an equivariant subnormalized channel that takes the components of the first pair to a pair satisfying similar positivity constraints as in the definition of relative submajorization.
Edit intent: clarity
Original:  When the request rate exceeds capacity limits at the  edge, some functions need to be offloaded from the edge towards the cloud.
Revised:  When the request rate exceeds capacity limits at the resource-constrained edge, some functions need to be offloaded from the edge towards the cloud.
Edit intent: clarity
Original:  When the request rate exceeds capacity limits at the  edge, some functions need to be offloaded from the edge towards the cloud.
Revised:  When the request rate exceeds capacity limits at the edge, some functions need to be offloaded towards the cloud.
Edit intent: clarity
Original:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit-level .
Revised:  Unfortunately, AD safety cases express safety requirements at the system level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit-level .
Edit intent: fluency
Original:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit-level .
Revised:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument needed to integrate safety requirements at the system-level to component performance requirements at the unit-level .
Edit intent: clarity
Original:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit-level .
Revised:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system level with component performance requirements at the unit-level .
Edit intent: fluency
Original:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit-level .
Revised:  Unfortunately, AD safety cases express safety requirements at the system-level and these efforts are missing the critical linking argument connecting safety requirements at the system-level to component performance requirements at the unit level .
Edit intent: fluency
Original:  In this paper, we demonstrate that the old and new paradigms can be combined to obtain the advantages of both worlds, by replacing the attention in Tacotron 2 with an autoregressive left-right no-skip hidden-Markov model defined by a neural network.
Revised:  In this paper, we demonstrate that the old and new paradigms can be combined to obtain the advantages of both worlds, by replacing the attention in Tacotron 2 with an autoregressive left-right no-skip hidden Markov model defined by a neural network.
Edit intent: fluency
Original:  The final system is smaller and simpler than Tacotron 2 and learns to align and speak with fewer iterations, while achieving the same speech naturalness . Unlike Tacotron 2, it also allows easy control over speaking rate.
Revised:  The final system is smaller and simpler than Tacotron 2 and learns to align and speak with fewer iterations, whilst achieving the same speech naturalness . Unlike Tacotron 2, it also allows easy control over speaking rate.
Edit intent: fluency
Original: Neural sequence-to-sequence TTS has demonstrated significantly better output quality over classical statistical parametric speech synthesis using HMMs. However, the new paradigm is not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Revised: Neural sequence-to-sequence TTS has achieved significantly better output quality over classical statistical parametric speech synthesis using HMMs. However, the new paradigm is not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Edit intent: clarity
Original: Neural sequence-to-sequence TTS has demonstrated significantly better output quality over classical statistical parametric speech synthesis using HMMs. However, the new paradigm is not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Revised: Neural sequence-to-sequence TTS has demonstrated significantly better output quality than statistical speech synthesis using HMMs. However, the new paradigm is not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Edit intent: clarity
Original: Neural sequence-to-sequence TTS has demonstrated significantly better output quality over classical statistical parametric speech synthesis using HMMs. However, the new paradigm is not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Revised: Neural sequence-to-sequence TTS has demonstrated significantly better output quality over classical statistical parametric speech synthesis using HMMs. However, neural TTS is generally not probabilistic and the use of non-monotonic attention both increases training time and introduces "babbling" failure modes that are unacceptable in production.
Edit intent: clarity
Original:  In this paper , we demonstrate that the old and new paradigms can be combined to obtain the advantages of both worlds, by replacing the attention in Tacotron 2 with an autoregressive left-right no-skip hidden Markov model defined by a neural network.
Revised:  This paper demonstrates that the old and new paradigms can be combined to obtain the advantages of both worlds, by replacing the attention in Tacotron 2 with an autoregressive left-right no-skip hidden Markov model defined by a neural network.
Edit intent: coherence
Original:  The final system is smaller and simpler than Tacotron 2  and learns to align and speak with fewer iterations  , whilst achieving the same naturalness prior to the post-net.
Revised:  The final system is smaller and simpler than Tacotron 2 , and learns to align and speak with fewer iterations , whilst achieving the same naturalness prior to the post-net.
Edit intent: fluency
Original:  The final system is smaller and simpler than Tacotron 2  and learns to align and speak with fewer iterations  , whilst achieving the same naturalness prior to the post-net.
Revised:  The final system is smaller and simpler than Tacotron 2 and learns to speak with fewer iterations , whilst achieving the same naturalness prior to the post-net.
Edit intent: clarity
Original: This paper presents Hire-MLP, a simple yet competitive vision MLP architecture via hierarchical rearrangement.
Edit intent: coherence
Original:  Previous vision MLPs like MLP-Mixer are not flexible for various image sizes and are inefficient to capture spatial information by flattening the tokens.
Revised:  Previous vision MLPs such as MLP-Mixer are not flexible for various image sizes and are inefficient to capture spatial information by flattening the tokens.
Edit intent: fluency
Original:  Hire-MLP innovates the existing MLP-based models by proposing the idea of hierarchical rearrangement to aggregate the local and global spatial information while being versatile for downstream tasks.
Revised:  Hire-MLP , a simple yet competitive vision MLP architecture via
Edit intent: coherence
Original:  Specifically, the inner-region rearrangement is designed to capture local information inside a spatial region .
Revised:  Specifically, the inner-region rearrangement is proposed to capture local information inside a spatial region .
Edit intent: clarity
Original:  Moreover, to enable information communication between different regions and capture global context , the cross-region rearrangement is proposed to circularly shift all tokens along spatial directions.
Revised:  Moreover, to enable information communication between different regions and capture global context by circularly shifting all tokens along spatial directions.
Edit intent: clarity
Original:  In particular, Hire-MLP achieves an 83.4%DIFDELCMD < \\%%% %DIF < top-1 accuracy on ImageNet, which surpasses previous Transformer-based and MLP-based models with better trade-off for accuracy and throughput. 
Revised:  In particular, Hire-MLP achieves %DIFDELCMD < \\%%% %DIF < top-1 accuracy on ImageNet, which surpasses previous Transformer-based and MLP-based models with better trade-off for accuracy and throughput. 
Edit intent: clarity
Original:  Consequently, much is known about how to accurately and stably discretize such equations on a priori adapted meshes, in order to properly resolve the layer structure present in their continuum solutions.
Revised:  Consequently, much is known about how to accurately and stably discretize such equations on a priori adapted meshes, in order to properly resolve the layer structure present in their continuum solutions.
Edit intent: fluency
Original: Z|Y}(\Delta_X), introduced by Draper and Wornell \mbox{ draper-wornell2004 , for a triple of jointly independent and identically distributed, multivariate Gaussian random variables (RVs), (X^n, S^n, Y^n)= \{(X_{t}, S_t, Y_{t}):
Revised: Z|Y}(\Delta_X), introduced by Draper and Wornell , for a triple of jointly independent and identically distributed, multivariate Gaussian random variables (RVs), (X^n, S^n, Y^n)= \{(X_{t}, S_t, Y_{t}):
Edit intent: clarity
Original:  Our analysis demonstrates that vanilla fine-tuning oversimplifies the sentence representation by focusing heavily on one or a few label-indicative words.
Revised:  Our analysis demonstrates that vanilla fine-tuning oversimplifies the sentence representation by focusing heavily on a small subset of words.
Edit intent: clarity
Original:  First, we summarize the representative and cutting-edge algorithms for each submodule of the classical motion planning architecture , and analyze their performance limitations.
Revised:  First, we summarize the representative and cutting-edge algorithms for each submodule of the classical motion planning architecture and analyze their performance limitations.
Edit intent: fluency
Original:  For the rest part, we focus on reviewing RL-based motion planning approaches, including RL optimization motion planners, map-free end-to-end methods that integrate sensing and decision-making, and multi-robot cooperative planning methods.
Revised:  Subsequently, we concentrate on reviewing RL-based motion planning approaches, including RL optimization motion planners, map-free end-to-end methods that integrate sensing and decision-making, and multi-robot cooperative planning methods.
Edit intent: coherence
Original:  In the last section , we analyze the urgent challenges faced by these methods in detail, review some state-of-the-art works for these issues, and propose suggestions for future research.
Revised:  Last but not least , we analyze the urgent challenges faced by these methods in detail, review some state-of-the-art works for these issues, and propose suggestions for future research.
Edit intent: coherence
Original:  In general, we found RF to excel at tabular and structured data ( image and audio ) with small sample sizes, whereas DN performed better on structured data with larger sample sizes.
Revised:  In general, we found forests to excel at tabular and structured data ( image and audio ) with small sample sizes, whereas DN performed better on structured data with larger sample sizes.
Edit intent: clarity
Original:  Although we plan to continue updating this technical report in the coming months , we believe the current preliminary resultsmay be of interest to others .
Revised:  Although we plan to continue updating this technical report in the coming months with updated results .
Edit intent: clarity
Original: A probabilistic approach to epidemic evolution on realistic social-connection graphs allows for characteristic differences among subjects, including the individual structure and number of social contacts (`ego networks') and the individual infection and recovery rates according to age or medical preconditions.
Revised: A probabilistic approach to epidemic evolution on realistic social-contact networks allows for characteristic differences among subjects, including the individual structure and number of social contacts (`ego networks') and the individual infection and recovery rates according to age or medical preconditions.
Edit intent: clarity
Original:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios  by confinement,  vaccination, and their combinations.
Revised:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and activation margin of control scenarios by confinement, vaccination, and their combinations.
Edit intent: clarity
Original:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios  by confinement,  vaccination, and their combinations.
Revised:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios ; by confinement, vaccination, and their combinations.
Edit intent: fluency
Original:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios  by confinement,  vaccination, and their combinations.
Revised:  Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios by confinement, by vaccination, and their combinations.
Edit intent: fluency
Original:  Kinematic models for these robots are typically parameterized by joint angles, generating a complicated mapping between a robot 's configuration and end-effector pose.
Revised:  Kinematic models for these robots are typically parametrized by joint angles, generating a complicated mapping between a robot 's configuration and end-effector pose.
Edit intent: fluency
Original:  Kinematic models for these robots are typically parameterized by joint angles, generating a complicated mapping between a robot 's configuration and end-effector pose.
Revised:  Kinematic models for these robots are typically parameterized by joint angles, generating a complicated mapping between the robot configuration and the end-effector pose.
Edit intent: fluency
Original:  Furthermore, we parameterize the space of Euclidean distance matrices with the Riemannian manifold of fixed-rank Gram matrices, allowing us to leverage a variety of mature Riemannian optimization methods.
Revised:  Furthermore, we parametrize the space of Euclidean distance matrices with the Riemannian manifold of fixed-rank Gram matrices, allowing us to leverage a variety of mature Riemannian optimization methods.
Edit intent: fluency
Original:  We demonstrate that our novel inverse kinematics solver achieves higher success rates than traditional techniques, and significantly outperforms them on problems that involve many workspace constraints.
Revised:  We demonstrate that our inverse kinematics solver achieves higher success rates than traditional techniques, and significantly outperforms them on problems that involve many workspace constraints.
Edit intent: clarity
Original:  We demonstrate that our novel inverse kinematics solver achieves higher success rates than traditional techniques, and significantly outperforms them on problems that involve many workspace constraints.
Revised:  We demonstrate that our novel inverse kinematics solver achieves higher success rates than traditional techniques, and substantially outperforms them on problems that involve many workspace constraints.
Edit intent: clarity
Original: The ability to keep track of scientific challenges, advances and emerging directions is a fundamental part of research.
Revised: Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research.
Edit intent: clarity
Original:  Overall, TRACKERSIFT is able to attribute 98\% of all requests to tracking or functional resources at the finest level of granularity.
Revised:  Overall, TRACKERSIFT is able to attribute 98\% of all requests to tracking or functional resources at the finest method-level granularity.
Edit intent: clarity
Original:  Our results highlight opportunities for fine-grained content blocking to remove mixed resources without breaking legitimate functionality.
Revised:  Our results highlight opportunities for finer-grained content blocking to remove mixed resources without breaking legitimate functionality.
Edit intent: fluency
Original: Graph searching is one of the simplest and most widely usedtools in graph algorithms.
Revised: Graph searching is one of the simplest and most widely used tools in graph algorithms.
Edit intent: fluency
Original:  Every graph search method is defined usingsome particular selection rule, and the analysis of the corresponding ver-tex orderings can aid greatly in devising algorithms, writing proofs ofcorrectness , or recognition of various graph families.
Revised:  Every graph search method is defined using some particular selection rule, and the analysis of the corresponding ver-tex orderings can aid greatly in devising algorithms, writing proofs ofcorrectness , or recognition of various graph families.
Edit intent: fluency
Original:  Every graph search method is defined usingsome particular selection rule, and the analysis of the corresponding ver-tex orderings can aid greatly in devising algorithms, writing proofs ofcorrectness , or recognition of various graph families.
Revised:  Every graph search method is defined usingsome particular selection rule, and the analysis of the corresponding vertex orderings can aid greatly in devising algorithms, writing proofs ofcorrectness , or recognition of various graph families.
Edit intent: fluency
Original:  Every graph search method is defined usingsome particular selection rule, and the analysis of the corresponding ver-tex orderings can aid greatly in devising algorithms, writing proofs ofcorrectness , or recognition of various graph families.
Revised:  Every graph search method is defined usingsome particular selection rule, and the analysis of the corresponding ver-tex orderings can aid greatly in devising algorithms, writing proofs of correctness , or recognition of various graph families.
Edit intent: clarity
Original:  We study graphs where the sets of vertex orderings produced by twodifferent search methods coincide.
Revised:  We study graphs where the sets of vertex orderings produced by two different search methods coincide.
Edit intent: fluency
Original:  We characterise such graph familiesfor ten pairs from the best-known set of graph searches: Breadth FirstSearch (BFS), Depth First Search (DFS), Lexicographic Breadth FirstSearch (LexBFS) and Lexicographic Depth First Search (LexDFS), andMaximal Neighborhood Search (MNS).
Revised:  We characterise such graph families for ten pairs from the best-known set of graph searches: Breadth FirstSearch (BFS), Depth First Search (DFS), Lexicographic Breadth FirstSearch (LexBFS) and Lexicographic Depth First Search (LexDFS), andMaximal Neighborhood Search (MNS).
Edit intent: fluency