wanyu/IteraTeR_v2 huggingface dataset:
Original: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline ,  ( 4) journal prestige, and (5) type of institution of employment on the propensity to conduct same-sex collaboration in research .
Revised: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline , ( 4) journal prestige, and type of institution of employment on the propensity to conduct same-sex collaboration in research .
Edit intent: coherence
Original: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline ,  ( 4) journal prestige, and (5) type of institution of employment on the propensity to conduct same-sex collaboration in research .
Revised: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline , ( 4) journal prestige, and (5) type of institution on the same-sex collaboration in research .
Edit intent: clarity
Original: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline ,  ( 4) journal prestige, and (5) type of institution of employment on the propensity to conduct same-sex collaboration in research .
Revised: This paper investigates the respective impacts of (1) biological age,(2) academic position, (3) academic discipline , ( 4) journal prestige, and (5) type of institution of employment on the propensity to conduct same-sex collaboration ratio .
Edit intent: clarity
Original:  The gender homophily principle  was found to work for male scientists - but not for females.
Revised:  The gender homophily principle was found to apply to male scientists - but not for females.
Edit intent: clarity
Original:  The gender homophily principle  was found to work for male scientists - but not for females.
Revised:  The gender homophily principle was found to work for male scientists - but not to females.
Edit intent: fluency
Original:  The propensity for same-sex collaboration of males is three times that of females.
Edit intent: coherence
Original:  Our unique biographical, administrative, publication, and citation database (The Observatory of Polish Science ) included all professors with at least a doctoral degree employed in 85 research-involved universities.
Revised:  Our unique biographical, administrative, publication, and citation database (The Polish Science Observatory ) included all professors with at least a doctoral degree employed in 85 research-involved universities.
Edit intent: clarity
Original:  In essence, we seek fairness in the %DIFDELCMD < {\em %%% outcome or conversions generated by the advertising campaigns.
Revised:  In essence, we seek fairness in the %DIFDELCMD < {\em %%% outcome or conversions generated by the advertising campaigns.
Edit intent: fluency
Original:  The data analyst has a fixed budget to purchase datasets from multiple data providers.
Revised:  The data analyst has a budget to purchase datasets from multiple data providers.
Edit intent: clarity
Original:  For both settings, our mechanisms guarantee that truthfully reporting one's dataset is always an equilibrium , by adopting techniques from peer prediction: pay each provider the mutual information between his reported data and other providers' reported data.
Revised:  For both settings, our mechanisms guarantee that truthfully reporting one's dataset is always an equilibrium by adopting techniques from peer prediction: pay each provider the mutual information between his reported data and other providers' reported data.
Edit intent: fluency
Original:  Through non-linear transformation, a continuous valued vector (i.e. a concatenation of the continuous variables associated with all edges) is transferred to a discrete valued community grouping solution.
Revised:  Through non-linear transformation, a continuous valued vector (i.e. a concatenation of the continuous variables associated with the edges) is transferred to a discrete valued community grouping solution.
Edit intent: clarity
Original:  Further, two new objective functions for single- and multi-attribute network are proposed to evaluate the attribute homogeneity of the nodes in communities, respectively.
Revised:  Further, two objective functions for single- and multi-attribute network are proposed to evaluate the attribute homogeneity of the nodes in communities, respectively.
Edit intent: clarity
Original:  Based on the new encoding method and the two new objectives, a multiobjective evolutionary algorithm (MOEA) based upon NSGA-II, termed as continuous encoding MOEA, is developed for the transformed community detection problem with continuous decision variables.
Revised:  Based on the new encoding method and the two objectives, a multiobjective evolutionary algorithm (MOEA) based upon NSGA-II, termed as continuous encoding MOEA, is developed for the transformed community detection problem with continuous decision variables.
Edit intent: clarity
Original:  Experimental results on single- and multi-attribute real-life networks with different types show that the developed algorithm performs significantly better than some well-known evolutionary and non-evolutionary based algorithms.
Revised:  Experimental results on single- and multi-attribute networks with different types show that the developed algorithm performs significantly better than some well-known evolutionary and non-evolutionary based algorithms.
Edit intent: clarity
Original:  We propose that a similar benchmark, called the quantum LINPACK benchmark, could be used to gauge the performance of future quantum computers.
Revised:  We propose that a similar benchmark, called the quantum LINPACK benchmark, could be used to measure the whole machine performance of quantum computers.
Edit intent: clarity
Original:  The task of the quantum LINPACK benchmark can also be difficult for classical computers, and its success can pave the way for achieving quantum advantage.
Edit intent: coherence
Original:  We implement these linear algebra operations on IBM Q quantum devices as well as quantum virtual machines, and demonstrate that such tasks can be only steps away from Google's quantum supremacy test .
Revised:  We implement these linear algebra operations on IBM Q quantum devices as well as quantum virtual machines, and demonstrate their performance in solving scientific computing problems .
Edit intent: clarity
Original: Given a graph G and an integer p, a coloring f : V(G) \to N is p-centered if for every connected subgraph H of G, either f uses more than p colors on H or there is a color that appears exactly once in H. The notion of p-centered colorings plays a central role in the theory of sparse graphs.
Revised: Given a graph G and an integer p, a coloring f : V(G) \to N is p-centered if for every connected subgraph H of G, either f uses more than p colors on H or there is a color that appears exactly once in H. The notion of p-centered colorings plays a central role in the theory of sparse graphs.
Edit intent: fluency
Original: Graph Convolutional Networks (GCNs) have shown to be effective in handling unordered data like point cloud and meshes.
Revised: Graph Convolutional Networks (GCNs) have shown to be effective in handling unordered data like point clouds and meshes.
Edit intent: fluency
Original:  In this work we propose novel approaches for graph convolution, pooling and unpooling, taking inspiration from finite-elements and algebraic multigrid frameworks.
Revised:  In this work we propose novel approaches for graph convolution, pooling and unpooling, inspired from finite differences and algebraic multigrid frameworks.
Edit intent: clarity
Original:  To motivate and explain our method, we compare it to standard Convolutional Neural Networks , and show their similarities and relations in the case of a regular grid.
Revised:  To motivate and explain our method, we compare it to standard convolutional neural networks , and show their similarities and relations in the case of a regular grid.
Edit intent: fluency
Original: We present a Systems and a Network Medicine view of Crohn's Disease (CD) and Ulcerative Colitis (UC).
Revised: Introduction: Crohn's Disease (CD) and Ulcerative Colitis (UC).
Edit intent: coherence
Original:  CD and UC , both under the umbrella of Inflammatory Bowel Diseases (IBD), involve many distinct molecular processes.
Revised:  CD and UC , both under the umbrella of inflammatory bowel diseases (IBD), involve many distinct molecular processes.
Edit intent: fluency
Original:  The difference in  molecular processes is studied  using the different genes involved in each disease, and  explored further for drug targeting and drug repurposing.
Revised:  The difference in their molecular processes is studied using the different genes involved in each disease, and explored further for drug targeting and drug repurposing.
Edit intent: fluency
Original:  The difference in  molecular processes is studied  using the different genes involved in each disease, and  explored further for drug targeting and drug repurposing.
Revised:  The difference in molecular processes is studied by using the different genes involved in each disease, and explored further for drug targeting and drug repurposing.
Edit intent: coherence
Original:  The difference in  molecular processes is studied  using the different genes involved in each disease, and  explored further for drug targeting and drug repurposing.
Revised:  The difference in molecular processes is studied using the different genes involved in each disease, and it is explored further for drug targeting and drug repurposing.
Edit intent: fluency
Original: Real world multi-agent tasks often involve varying types and quantities of agents and non-agent entities . Agents frequently do not know a priori how many other agents and non-agent entities they will need to interact with in order to complete a given task, requiring agents to generalize across a combinatorial number of task configurations with each potentially requiring different strategies.
Revised: Real world multi-agent tasks often involve varying types and quantities of agents and non-agent entities ; however, agents within these tasks rarely need to consider all others at all times in order to complete a given task, requiring agents to generalize across a combinatorial number of task configurations with each potentially requiring different strategies.
Edit intent: clarity
Original: Real world multi-agent tasks often involve varying types and quantities of agents and non-agent entities;
Revised: Multi-agent settings in the real world often involve tasks with varying types and quantities of agents and non-agent entities;
Edit intent: clarity
Original:  We hypothesize that such an approach helps agents learn more effectively in multi-agent settings by discovering common trajectories across episodes within sub-groups of agents/entities.
Revised:  We hypothesize that such an approach helps agents learn more effectively in multi-agent reinforcement learning. By doing so, our model can recognize and leverage similarities across tasks to improve learning efficiency in a multi-task setting.
Edit intent: clarity
Original:  Our approach, Randomized Entity-wise Factorization for Imagined Learning (REFIL), outperforms all strong baselines by a significant margin in challenging StarCraft micromanagement tasks .
Revised:  Our approach, Randomized Entity-wise Factorization for Imagined Learning (REFIL), outperforms all strong baselines by a significant margin in challenging multi-task StarCraft micromanagement settings .
Edit intent: clarity
Original: Recommender systems learn from historical data that is often non-uniformly distributed across items , so they may end up suggesting popular items more than niche items  .
Revised: Recommender systems learn from historical data that is often non-uniformly distributed across items . As a consequence, these systems may end up suggesting popular items more than niche items .
Edit intent: coherence
Original:  This can hamper user interest and several qualities of the recommended lists (e.g., novelty, coverage, diversity), impacting on the future success of the platform .
Revised:  This can hamper several core qualities of the recommended lists (e.g., novelty, coverage, diversity), impacting on the future success of the platform .
Edit intent: clarity
Original:  Then, we characterize the recommendations of representative algorithms with respect to the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are directly proportional to the item popularity.
Revised:  We characterize the recommendations of representative algorithms with respect to the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are directly proportional to the item popularity.
Edit intent: coherence
Original:  Then, we characterize the recommendations of representative algorithms with respect to the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are directly proportional to the item popularity.
Revised:  Then, we characterize the recommendations of representative algorithms by means of the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are directly proportional to the item popularity.
Edit intent: clarity
Original:  Then, we characterize the recommendations of representative algorithms with respect to the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are directly proportional to the item popularity.
Revised:  Then, we characterize the recommendations of representative algorithms with respect to the proposed metrics, and we show that the item probability of being recommended and the item true positive rate are biased against the item popularity.
Edit intent: clarity
Original:  To mitigate the influence of popularity , we propose an in-processing approach aimed at minimizing the  correlation between user-item relevance and item popularity , leading to a more equal treatment of items along the popularity tail .
Revised:  To promote a more equal treatment of items along the popularity tail , we propose an in-processing approach aimed at minimizing the correlation between user-item relevance and item popularity , leading to a more equal treatment of items along the popularity tail .
Edit intent: clarity
Original:  To mitigate the influence of popularity , we propose an in-processing approach aimed at minimizing the  correlation between user-item relevance and item popularity , leading to a more equal treatment of items along the popularity tail .
Revised:  To mitigate the influence of popularity , we propose an in-processing approach aimed at minimizing the correlation between user-item relevance and item popularity .
Edit intent: clarity
Original:  Extensive experiments show that, with small losses in accuracy, our popularity-debiasing approach leads to important gains in beyond-accuracy recommendation quality.
Revised:  Extensive experiments show that, with small losses in accuracy, our popularity-mitigation approach leads to important gains in beyond-accuracy recommendation quality.
Edit intent: clarity
Original:  Existing fairness-aware frameworks expose limits to handle a situation where all these conditions hold: (i) the same provider is associated to multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Revised:  Our study handles a situation where all these conditions hold: (i) the same provider is associated to multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Edit intent: clarity
Original:  Existing fairness-aware frameworks expose limits to handle a situation where all these conditions hold: (i) the same provider is associated to multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Revised:  Existing fairness-aware frameworks expose limits to handle a situation where (i) the same provider is associated to multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Edit intent: clarity
Original:  We assess this form of equity on synthetic data, simulating diverse representations of the minority group in the catalog and the observations . Based on learned lessons , we devise a treatment that combines observation upsampling and loss regularization, while learning user-item relevance scores.
Revised:  We assess this form of equity on synthetic data, simulating diverse representations of the minority group in the catalog and the interactions . Based on learned lessons , we devise a treatment that combines observation upsampling and loss regularization, while learning user-item relevance scores.
Edit intent: clarity
Original:  We assess this form of equity on synthetic data, simulating diverse representations of the minority group in the catalog and the observations . Based on learned lessons , we devise a treatment that combines observation upsampling and loss regularization, while learning user-item relevance scores.
Revised:  We assess this form of equity on synthetic data, simulating diverse representations of the minority group in the catalog and the observations . Based on emerged unfair outcomes , we devise a treatment that combines observation upsampling and loss regularization, while learning user-item relevance scores.
Edit intent: clarity
Original:  The resulting suggested items provide fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Revised:  The resulting recommended lists provide fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Edit intent: clarity
Original:  Our study  handles a situation where (i) the same provider is associated to multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Revised:  Our study handles a situation where (i) the same provider is associated with multiple items of a list suggested to a user, (ii) an item is created by more than one provider jointly, and (iii) predicted user-item relevance scores are biasedly estimated for items of provider groups.
Edit intent: fluency
Original:  Under this scenario, we assess disparities in terms of relevance, visibility, and exposure, by simulating diverse representations of the minority group in the catalog and the interactions.
Revised:  Under this scenario, we assess disparities in relevance, visibility, and exposure, by simulating diverse representations of the minority group in the catalog and the interactions.
Edit intent: clarity
Original:  Experiments on real-world data show that our treatment leads to lower disparate relevance.
Revised:  Experiments on real-world data demonstrate that our treatment leads to lower disparate relevance.
Edit intent: fluency
Original:  The resulting recommended lists provide fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Revised:  The resulting recommended lists show fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Edit intent: clarity
Original:  The resulting recommended lists provide fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Revised:  The resulting recommended lists provide fairer visibility and exposure, higher minority item coverage, and no or limited loss in recommendation utility.
Edit intent: clarity
Original:  The resulting recommended lists provide fairer visibility and exposure, wider minority-group item coverage, and no or limited loss in recommendation utility.
Revised:  The resulting recommended lists provide fairer visibility and exposure, wider minority-group item coverage, and negligible loss in recommendation utility.
Edit intent: clarity
Original: Online educational platforms are promising to play a primary role in mediating the success of individuals' careers.
Revised: Online educational platforms are playing a primary role in mediating the success of individuals' careers.
Edit intent: clarity
Original:  Hence , while building overlying content recommendation services, it becomes essential to ensure that learners are provided with equal  learning opportunities, according to the platform values, context, and pedagogy.
Revised:  Therefore , while building overlying content recommendation services, it becomes essential to ensure that learners are provided with equal learning opportunities, according to the platform values, context, and pedagogy.
Edit intent: fluency
Original:  Hence , while building overlying content recommendation services, it becomes essential to ensure that learners are provided with equal  learning opportunities, according to the platform values, context, and pedagogy.
Revised:  Hence , while building overlying content recommendation services, it becomes essential to guarantee that learners are provided with equal learning opportunities, according to the platform values, context, and pedagogy.
Edit intent: clarity
Original:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Revised:  Though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Edit intent: coherence
Original:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Revised:  Even though the importance of ensuring equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Edit intent: clarity
Original:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Revised:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how this equality can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Edit intent: clarity
Original:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably in online learning ecosystems through recommender systems is still under-explored.
Revised:  Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized in online learning ecosystems through recommender systems is still under-explored.
Edit intent: clarity