wanyu/IteraTeR_v2 huggingface dataset:
Original: This paper presents a density-based topology optimization method for designing  3D  compliant mechanisms and loadbearing structures with design-dependent pressure loading.
Revised: This paper presents a density-based topology optimization method for designing 3D ) compliant mechanisms and loadbearing structures with design-dependent pressure loading.
Edit intent: fluency
Original: We derive the variational formulation of an anisotropic gradient damage model with different behaviour at traction and compression and a state dependent dissipation potential by applying the energetic formulation of rate-independent processes .
Revised: We derive the variational formulation of a gradient damage model with different behaviour at traction and compression and a state dependent dissipation potential by applying the energetic formulation of rate-independent processes .
Edit intent: clarity
Original: We derive the variational formulation of an anisotropic gradient damage model with different behaviour at traction and compression and a state dependent dissipation potential by applying the energetic formulation of rate-independent processes .
Revised: We derive the variational formulation of an anisotropic gradient damage model with different behaviour at traction and compression and has a state-dependent dissipation potential which induces a path-independent work .
Edit intent: clarity
Original: Now-a-days in Quantum Computing,  implementation of quantum algorithm has created a stir since Noisy Intermediate-Scale Quantum (NISQ) devices are out in the market.
Revised: Nowadays in Quantum Computing, implementation of quantum algorithm has created a stir since Noisy Intermediate-Scale Quantum (NISQ) devices are out in the market.
Edit intent: fluency
Original: Now-a-days in Quantum Computing,  implementation of quantum algorithm has created a stir since Noisy Intermediate-Scale Quantum (NISQ) devices are out in the market.
Revised: Now-a-days in Quantum Computing, the implementation of quantum algorithm has created a stir since Noisy Intermediate-Scale Quantum (NISQ) devices are out in the market.
Edit intent: fluency
Original:  In this Paper, K-coloring problem (NP-complete problem) has been considered to solve using Grover's search.
Revised:  In this Paper, k-coloring problem (NP-complete problem) has been considered to solve using Grover's search.
Edit intent: fluency
Original:  A comparator-based approach has been used to implement K-coloring problem which enables the reduction of the qubit cost comparing to the state-of-the-art.
Revised:  A comparator-based approach has been used to implement k-coloring problem which enables the reduction of the qubit cost comparing to the state-of-the-art.
Edit intent: fluency
Original:  A comparator-based approach has been used to implement K-coloring problem which enables the reduction of the qubit cost comparing to the state-of-the-art.
Revised:  A comparator-based approach has been used to implement K-coloring problem which enables the reduction of the qubit cost compared to the state-of-the-art.
Edit intent: fluency
Original:  An end-to-end automated framework has been proposed to implement K-coloring problem for any unweighted and undirected graph on any available Noisy Intermediate-Scale Quantum (NISQ) devices, which helps in generalizing our approach.
Revised:  An end-to-end automated framework has been proposed to implement the k-coloring problem for any unweighted and undirected graph on any available Noisy Intermediate-Scale Quantum (NISQ) devices, which helps in generalizing our approach.
Edit intent: fluency
Original:  Here we propose KENN (Knowledge Enhanced Neural Networks), a Neural-Symbolic architecture that injects prior knowledge, codified in a set of universally quantified FOL clauses, into a neural network model.
Revised:  Here we propose KENN (Knowledge Enhanced Neural Networks), a Neural-Symbolic architecture that injects prior logical knowledge into a neural network model.
Edit intent: clarity
Original:  In KENN, clauses are used to generate a new final layer of the neural network which modifies the initial predictions based on the knowledge.
Revised:  In KENN, clauses are used to generate a new final layer which modifies the initial predictions based on the knowledge.
Edit intent: clarity
Original:  In KENN, clauses are used to generate a new final layer of the neural network which modifies the initial predictions based on the knowledge.
Revised:  In KENN, clauses are used to generate a new final layer of the neural network which modifies the initial predictions accordingly to the knowledge.
Edit intent: clarity
Original:  Among the advantages of this strategy, there is the possibility to include additional learnable parameters, the clause weights, each of which represents the strength of a specific clause.
Revised:  Among the advantages of this strategy, there is the inclusion of clause weights, each of which represents the strength of a specific clause.
Edit intent: clarity
Original:  Among the advantages of this strategy, there is the possibility to include additional learnable parameters, the clause weights, each of which represents the strength of a specific clause.
Revised:  Among the advantages of this strategy, there is the possibility to include additional learnable parameters, the clause weights, learnable parameters that represent the strength of a specific clause.
Edit intent: clarity
Original:  The obtained results show that KENN is capable of increasing the performances of the underlying neural network even in the presence of relational dataobtaining results in line with other methods that combine learning with logic.
Revised:  The results show that KENN is capable of increasing the performances of the underlying neural network even in the presence of relational dataobtaining results in line with other methods that combine learning with logic.
Edit intent: coherence
Original: One of the issues in dependable complex systems execution process is the presence of a high dimension of decisions to be taken into account when deciding the next action to be taken.
Revised: The challenges related to dependable complex systems execution process is the presence of a high dimension of decisions to be taken into account when deciding the next action to be taken.
Edit intent: clarity
Original:  While in designing the logical architecture of a system, various dependability aspects such as safety, reliability, and security must be considered .
Revised:  While in designing the logical architecture of a system, various dependability aspects such as safety, reliability, and security .
Edit intent: clarity
Original:  Moreover, in case of high-assurance systems, it is required to analyze these aspects with rigorous methods.
Revised:  Moreover, in case of high-assurance systems, the analysis of such concerns must be performed with rigorous methods.
Edit intent: clarity
Original:  In this paper, we present an open-source tool calledCHESS , a cross-domain  model-based engineering environment, along with various analysis support for dependable complex systems.
Revised:  In this paper, we present CHESS , a cross-domain model-based engineering environment, along with various analysis support for dependable complex systems.
Edit intent: clarity
Original:  As a result , we present the newly released CHESS features and we will show how CHESS contributed to several research projects.
Revised:  As a result , we present contributions of CHESS to several international research projects.
Edit intent: clarity
Original: Given a weighted bipartite graph with n vertices and m edges, the \mathit{maximum~weight~bipartite~matching problem is to find a set of vertex-disjoint edges with the maximum weight.
Revised: Given a weighted bipartite graph with n vertices and m edges, the maximum weight bipartite matching problem is to find a set of vertex-disjoint edges with the maximum weight.
Edit intent: fluency
Original:  To the best of our knowledge, this is the first work that implements the SDD solver and IPM in the streaming model in O(n) spaces for graph matrix.
Revised:  To the best of our knowledge, this is the first work that implements the SDD solvers and IPMs in the streaming model in O(n) spaces for graph matrix.
Edit intent: fluency
Original:  The LP solver for general matrix is impossible to be implemented in (n) spaces .
Revised:  The LP solver for general matrix is impossible to be implemented in .
Edit intent: clarity
Original:  The Designer's utility is a linear function of the steady state probabilities of the accessible states (that is, the ones for which the platform has been adopted), minus the development cost of the platforms.
Revised:  The Designer's utility is a linear function of the steady state probabilities of the accessible states minus the development cost of the platforms.
Edit intent: clarity
Original:  The underlying optimization problem of the Agent -- that is, how to choose the states for which to adopt the platform -- is an MDP.
Revised:  The underlying optimization problem of the Agent -- how to choose the states for which to adopt the platform -- is an MDP.
Edit intent: coherence
Original:  These results generalize , under mild additional assumptions, from a single Agent to a distribution of Agents with finite support .
Revised:  These results generalize from a single Agent to a distribution of Agents with finite support .
Edit intent: clarity
Original: The combination of the Reduced Basis (RB) and the Empirical Interpolation Method (EIM) approaches have produced outstanding results in gravitational wave (GW) science and in many other disciplines.
Revised: The combination of the Reduced Basis and the Empirical Interpolation Method (EIM) approaches have produced outstanding results in gravitational wave (GW) science and in many other disciplines.
Edit intent: clarity
Original: The combination of the Reduced Basis (RB) and the Empirical Interpolation Method (EIM) approaches have produced outstanding results in gravitational wave (GW) science and in many other disciplines.
Revised: The combination of the Reduced Basis (RB) and the Empirical Interpolation Method (EIM) approaches have produced outstanding results in many disciplines.
Edit intent: clarity
Original:  In GW science in particular, these results range from building non-intrusive surrogate models for gravitational waves to fast parameter estimation adding the use of Reduced Order Quadratures.
Revised:  In particular, in gravitational wave (GW) science these results range from building non-intrusive surrogate models for gravitational waves to fast parameter estimation adding the use of Reduced Order Quadratures.
Edit intent: clarity
Original:  In GW science in particular, these results range from building non-intrusive surrogate models for gravitational waves to fast parameter estimation adding the use of Reduced Order Quadratures.
Revised:  In GW science in particular, these results range from building non-intrusive surrogate models for GWs to fast parameter estimation adding the use of Reduced Order Quadratures.
Edit intent: clarity
Original: The energy dissipation is an important and essential property of classical phase-field equations .
Revised: The numerical integration of phase-field equations .
Edit intent: coherence
Original:  In this work, we achieve some of the computational capabilities of differentiable neural computers with a model that can be trained extremely efficiently, namely an echo state network with an explicit memory without interference.
Revised:  In this work, we achieve some of the computational capabilities of differentiable neural computers with a model that can be trained very efficiently, namely an echo state network with an explicit memory without interference.
Edit intent: clarity
Original:  This extension raises the computation power of echo state networks from strictly less than finite state machines to strictly more than finite state machines .
Revised:  This extension enables echo state networks from strictly less than finite state machines to strictly more than finite state machines .
Edit intent: clarity
Original:  Hence, in this work we propose to use advanced features of the newest annealer generation, the D-Wave 2000Q , to indirectly infer information about the dynamics of the ground-state during the anneal process.
Revised:  Hence, in this work we propose to use advanced features of D-Wave 2000Q , to indirectly infer information about the dynamics of the ground-state during the anneal process.
Edit intent: clarity
Original:  Hence, in this work we propose to use advanced features of the newest annealer generation, the D-Wave 2000Q , to indirectly infer information about the dynamics of the ground-state during the anneal process.
Revised:  Hence, in this work we propose to use advanced features of the newest annealer generation, the D-Wave 2000Q to indirectly infer information about the dynamics of the ground-state during the anneal process.
Edit intent: fluency
Original:  Hence, in this work we propose to use advanced features of the newest annealer generation, the D-Wave 2000Q , to indirectly infer information about the dynamics of the ground-state during the anneal process.
Revised:  Hence, in this work we propose to use advanced features of the newest annealer generation, the D-Wave 2000Q , to indirectly infer information about the dynamics of the state evolution during the anneal process.
Edit intent: clarity
Original:  We use our technique to obtain a variety of insights into the annealer such as how the ground state evolves during the  annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce an approximate technique to determine the freeze-out point of  the system as well as of individual qubits.
Revised:  We use our technique to obtain a variety of insights into the annealer , such as the annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce an approximate technique to determine the freeze-out point of the system as well as of individual qubits.
Edit intent: coherence
Original:  We use our technique to obtain a variety of insights into the annealer such as how the ground state evolves during the  annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce an approximate technique to determine the freeze-out point of  the system as well as of individual qubits.
Revised:  We use our technique to obtain a variety of insights into the annealer such as how the ground state evolves during the annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce a technique to estimate the freeze-out point of the system as well as of individual qubits.
Edit intent: clarity
Original:  We use our technique to obtain a variety of insights into the annealer such as how the ground state evolves during the  annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce an approximate technique to determine the freeze-out point of  the system as well as of individual qubits.
Revised:  We use our technique to obtain a variety of insights into the annealer such as how the ground state evolves during the annealing, when individual bits in an evolving solution flip during the anneal process and when they stabilize, and we introduce an approximate technique to determine the freeze-out point of both the system as well as of individual qubits.
Edit intent: clarity
Original:  Our results show that when conflict occurs, it causes suboptimal and potentially dangerous behaviour.
Revised:  Our results show that when conflict occurs, it causes sub-optimal and potentially dangerous behaviour.
Edit intent: fluency
Original:  The typical approach to adapt to unknown input classes is to retrain the neural-network classifier on an augmented training dataset.
Revised:  The typical approach is to detect inputs from novel classes and retrain the classifier on an augmented training dataset.
Edit intent: clarity
Original:  The typical approach to adapt to unknown input classes is to retrain the neural-network classifier on an augmented training dataset.
Revised:  The typical approach to adapt to unknown input classes is to retrain the neural-network classifier on an augmented dataset.
Edit intent: clarity
Original:  The proposed algorithm, Censored-and-Quantized Generalized GADMM (CQ-GGADMM), leverages the novel worker grouping and decentralized learning ideas of Group Alternating Direction Method of Multipliers (GADMM), and pushes the frontier in communication efficiency by extending its applicability to generalized network topologies, while incorporating link censoring for negligible updates after quantization.
Revised:  The proposed algorithm, Censored and Quantized Generalized GADMM (CQ-GGADMM), leverages the novel worker grouping and decentralized learning ideas of Group Alternating Direction Method of Multipliers (GADMM), and pushes the frontier in communication efficiency by extending its applicability to generalized network topologies, while incorporating link censoring for negligible updates after quantization.
Edit intent: fluency
Original:  The proposed algorithm, Censored-and-Quantized Generalized GADMM (CQ-GGADMM), leverages the novel worker grouping and decentralized learning ideas of Group Alternating Direction Method of Multipliers (GADMM), and pushes the frontier in communication efficiency by extending its applicability to generalized network topologies, while incorporating link censoring for negligible updates after quantization.
Revised:  The proposed algorithm, Censored-and-Quantized Generalized GADMM (CQ-GGADMM), leverages the worker grouping and decentralized learning ideas of Group Alternating Direction Method of Multipliers (GADMM), and pushes the frontier in communication efficiency by extending its applicability to generalized network topologies, while incorporating link censoring for negligible updates after quantization.
Edit intent: clarity
Original:  Numerical simulations corroborate that CQ-GGADMM exhibits higher communication efficiency in terms of the number of communication rounds and transmit energy consumption without compromising the accuracy and convergence speed, compared to the benchmark schemes based on decentralized ADMMwithout censoring, quantization, and /or the worker grouping method of GADMM.
Revised:  Numerical simulations corroborate that CQ-GGADMM exhibits higher communication efficiency in terms of the number of communication rounds and transmit energy consumption without compromising the accuracy and convergence speed, compared to the censored decentralized ADMM, and the worker grouping method of GADMM.
Edit intent: clarity
Original:  These lessons are particularly salient given the advent of domain specialized hardware which makes it increasingly costly to stray off of the beaten path of research ideas  .
Revised:  These lessons are particularly salient given the advent of domain specialized hardware which make it increasingly costly to stray off of the beaten path of research ideas .
Edit intent: fluency
Original:  Phosphorus-containing species have not been modelled for Venusian atmosphere before and our work represents the first attempt to model phosphorus species in  Venusian atmosphere.
Revised:  Phosphorus-containing species have not been modelled for Venus' atmosphere before and our work represents the first attempt to model phosphorus species in Venusian atmosphere.
Edit intent: fluency
Original:  Phosphorus-containing species have not been modelled for Venusian atmosphere before and our work represents the first attempt to model phosphorus species in  Venusian atmosphere.
Revised:  Phosphorus-containing species have not been modelled for Venusian atmosphere before and our work represents the first attempt to model phosphorus species in the Venusian atmosphere.
Edit intent: fluency
Original:  The presence of PH3 , therefore, must be the result of a process not previously considered plausible for Venusian conditions.
Revised:  If PH3 , therefore, must be the result of a process not previously considered plausible for Venusian conditions.
Edit intent: clarity
Original:  In this paper, we propose a \textit{stochastic satisfiability (SSAT) framework, Justicia, that formally verifies different fairness measures of supervised learning algorithms with respect to the underlying data distribution.
Revised:  In this paper, we propose a \textit{stochastic satisfiability (SSAT) framework, Justicia, that formally verifies different fairness measures of supervised learning algorithms with respect to the underlying data distribution.
Edit intent: fluency
Original:  In an effort to bring clarity to this cross-cutting area of work, from its modern inception to the present, this paper presents a systematic literature review of research at the intersection of SE & DL.
Revised:  In an effort to bring clarity to this crosscutting area of work, from its modern inception to the present, this paper presents a systematic literature review of research at the intersection of SE & DL.
Edit intent: fluency
Original:  The end result of our analysis is a research roadmap that both delineates the foundations of DL techniques applied to SE research, and  likely areas of fertile exploration for the future.
Revised:  The end result of our analysis is a research roadmap that both delineates the foundations of DL techniques applied to SE research, and highlights likely areas of fertile exploration for the future.
Edit intent: fluency
Original: The applications of short-termuser generated video (UGV), such as snapchat, youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Revised: The applications of short-term user-generated video (UGV), such as snapchat, youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Edit intent: fluency
Original: The applications of short-termuser generated video (UGV), such as snapchat, youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Revised: The applications of short-termuser generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Edit intent: coherence
Original:  Amongthem , learning the correspondence between audio and vi-sual information from videos is a challenging one.
Revised:  Among them , learning the correspondence between audio and vi-sual information from videos is a challenging one.
Edit intent: fluency
Original:  Amongthem , learning the correspondence between audio and vi-sual information from videos is a challenging one.
Revised:  Amongthem , learning the correspondence between audio and visual information from videos is a challenging one.
Edit intent: fluency
Original:  Mostprevious work of theaudio-visual correspondence(AVC) learning only investigated on constrained videos or simplesettings , which may not fit the application of UGV.
Revised:  Most previous work of the audio-visual correspondence(AVC) learning only investigated on constrained videos or simplesettings , which may not fit the application of UGV.
Edit intent: fluency
Original:  Mostprevious work of theaudio-visual correspondence(AVC) learning only investigated on constrained videos or simplesettings , which may not fit the application of UGV.
Revised:  Mostprevious work of theaudio-visual correspondence(AVC) learning only investigated constrained videos or simplesettings , which may not fit the application of UGV.
Edit intent: fluency
Original:  Mostprevious work of theaudio-visual correspondence(AVC) learning only investigated on constrained videos or simplesettings , which may not fit the application of UGV.
Revised:  Mostprevious work of theaudio-visual correspondence(AVC) learning only investigated on constrained videos or simple settings , which may not fit the application of UGV.
Edit intent: fluency