wanyu/IteraTeR_v2 huggingface dataset:
Original:  An attention model was then built to provide a dynamic blended representation according to the relative importance of the embedding spaces for each user-item pair, forming a flexible measure to characterize variant user-item interactions.
Revised:  An attention model was then built to provide a dynamic blended representation according to the relative importance of the representation spaces for each user-item pair, forming a flexible measure to characterize variant user-item interactions.
Edit intent: clarity
Original:  An attention model was then built to provide a dynamic blended representation according to the relative importance of the embedding spaces for each user-item pair, forming a flexible measure to characterize variant user-item interactions.
Revised:  An attention model was then built to provide a dynamic blended representation according to the relative importance of the embedding spaces for each user-item pair, providing a flexible way to characterize diverse user-item interactions.
Edit intent: clarity
Original:  Substantial experiments were performed and evaluated on four popular benchmark datasets.
Revised:  Substantial experiments were evaluated on four popular benchmark datasets.
Edit intent: clarity
Original:  The results show that the proposed method is effective and competitive compared to several CF methods where only one embedding space is considered.
Revised:  The results show that the proposed method is superior to several CF methods where only one embedding space is considered.
Edit intent: clarity
Original:  The results show that the proposed method is effective and competitive compared to several CF methods where only one embedding space is considered.
Revised:  The results show that the proposed method is effective and competitive compared to several CF methods where only one representation space is considered.
Edit intent: clarity
Original:  The proposal targets  opportunistic allocation of any bandwidth that is available after meeting the SLA requirements.
Revised:  The proposal targets opportunistic allocation of any available bandwidth is done after meeting the SLA requirements.
Edit intent: clarity
Original:  Such an opportunistic allocation is particularly beneficial when networking applications with varying urgency and quality of service requirementsare being operated at the user end .
Revised:  Such an opportunistic allocation is particularly beneficial for nomadic users with varying QoS requirements .
Edit intent: clarity
Original:  The opportunistic allocation is carried out with the help of Vickerey-Clarke-Groves (VCG) auction.
Revised:  The opportunistic allocation is carried out with the help of Vickrey-Clarke-Groves (VCG) auction.
Edit intent: fluency
Original:  Here we use a Shannon's information-theoretic approach to characterize the smooth transition between the ordered and disordered states of consensus and polarization in the Voter model.
Revised:  Here we use a Shannon's information-theoretic approach to characterize the smooth transition between the states of consensus and polarization in the Voter model.
Edit intent: clarity
Original:  Describing the population as a network of connected individuals we show that the transition between the two regimes depends on the geographic structure of the population and on the possible asymmetries in the mutation rates.
Revised:  Describing the population as a network of connected individuals we show that the transition between the two regimes depends on the network topology of the population and on the possible asymmetries in the mutation rates.
Edit intent: clarity
Original:   This paper contributes to the foundations of answer set programming and artificial intelligence by introducing and studying the sequential composition of answer set programs . Specifically, we show that the notion of composition gives rise to a family of finite monoids and seminearrings , baptized {\em ASP monoids } and {\em ASP seminearrings } in this paper.
Revised:  This paper contributes to the foundations of answer set programming and artificial intelligence by introducing and studying the sequential composition of answer set programs . Specifically, we show that the notion of composition gives rise to a family of finite monoids and seminearrings , baptized {\em ASP magmas } and {\em ASP seminearrings } in this paper.
Edit intent: clarity
Original:   This paper contributes to the foundations of answer set programming and artificial intelligence by introducing and studying the sequential composition of answer set programs . Specifically, we show that the notion of composition gives rise to a family of finite monoids and seminearrings , baptized {\em ASP monoids } and {\em ASP seminearrings } in this paper.
Revised:  This paper contributes to the foundations of answer set programming and artificial intelligence by introducing and studying the sequential composition of answer set programs . Specifically, we show that the notion of composition gives rise to a family of finite monoids and seminearrings , baptized {\em ASP monoids } and {\em ASP algebras } in this paper.
Edit intent: clarity
Original:  As a result, we  characterize answer sets algebraically, which bridges the conceptual gap between the syntax and semantics of an answer set program in a mathematically satisfactory way, and which provides an algebraic characterization of strong and uniform equivalence.
Revised:  As a result, we can characterize answer sets algebraically, which bridges the conceptual gap between the syntax and semantics of an answer set program in a mathematically satisfactory way, and which provides an algebraic characterization of strong and uniform equivalence.
Edit intent: coherence
Original:  Moreover, it gives rise to an algebraic meta-calculus for answer set programs.
Edit intent: coherence
Original:  In a broader sense, this paper is a further step towards an algebra of rule-based logical theories and in the future we plan to adapt and generalize the methods of this paper to wider classes of formalisms, most importantly to first-order and disjunctive answer set programs and extensions thereof.
Revised:  In a broader sense, this paper is a further step towards an algebra of rule-based logical theories and in the future we plan to adapt and generalize the methods of this paper to wider classes of formalisms, most importantly to higher-order and disjunctive logic programs and extensions thereof.
Edit intent: clarity
Original:  This subchapter will start from an introduction of GANs from an analytical perspective, then move on  the training of GANs via SDE approximations and finally discuss some applications of GANs in computing high dimensional MFGs as well as tackling mathematical finance problems.
Revised:  This subchapter will start from an introduction of GANs from an analytical perspective, then move on to the training of GANs via SDE approximations and finally discuss some applications of GANs in computing high dimensional MFGs as well as tackling mathematical finance problems.
Edit intent: fluency
Original:  We first study the 2-fold Forrelation formulation with bent duality based promise problems as desirable instantiations.
Revised:  We introduce the existing 2-fold Forrelation formulation with bent duality based promise problems as desirable instantiations.
Edit intent: clarity
Original:  In this work, we propose that STDP in an ensemble of spiking neurons renders storing high dimensional information in the form of a `memory plane'.
Revised:  In this work, we have rigorously shown that STDP in an ensemble of spiking neurons renders storing high dimensional information in the form of a `memory plane'.
Edit intent: clarity
Original:  In the auto-associative memory task , a group of images that were continuously streamed to the system can be retrieved from the oscillating neural state.
Revised:  In the auto-associative memory task with a group of images that were continuously streamed to the system can be retrieved from the oscillating neural state.
Edit intent: clarity
Original:  The second application deals with the process of semantic memory components that are embedded from sentences.
Revised:  The second application deals with the process of semantic memory representations that are embedded from sentences.
Edit intent: clarity
Original:  First, we perform an auto-associative memory task with a group of images .
Revised:  First, we perform an auto-associative memory task where a group of images .
Edit intent: fluency
Original:  In practice, the quadratic scaling in the number of  transpositions often makes this maintenance procedure slower than simply computing the decomposition from scratch, effectively limiting the application of dynamic persistence to relatively small data sets.
Revised:  In practice, the quadratic scaling in the number of such transpositions often makes this maintenance procedure slower than simply computing the decomposition from scratch, effectively limiting the application of dynamic persistence to relatively small data sets.
Edit intent: clarity
Original:  In practice, the quadratic scaling in the number of  transpositions often makes this maintenance procedure slower than simply computing the decomposition from scratch, effectively limiting the application of dynamic persistence to relatively small data sets.
Revised:  In practice, the quadratic scaling in the number of transpositions often makes this maintenance procedure slower than simply computing the decomposition from scratch, limiting the application of dynamic persistence to relatively small data sets.
Edit intent: coherence
Original:  In this work, we propose a coarser strategy for maintaining the decomposition over a discrete 1-parameter family of filtrations.
Revised:  In this work, we propose a coarser strategy for maintaining the decomposition over a 1-parameter family of filtrations.
Edit intent: clarity
Original:  Our first result is an analysis of a simple linear-time strategy for reducing the number of column operations needed to simulate persistence across a fixed homotopy by at most a factor of 2.
Revised:  Our first result is an analysis of a simple linear-time strategy which reduces the number of column operations needed to simulate persistence across a fixed homotopy by at most a factor of 2.
Edit intent: clarity
Original:  We then show a modification of this technique which maintains only a sublinear number of valid states, as opposed to a quadratic number of states, and we provide tight lower bounds for this technique.
Revised:  We show a modification of this technique which maintains only a sublinear number of valid states, as opposed to a quadratic number of states, and we provide tight lower bounds for this technique.
Edit intent: coherence
Original:  Finally, we provide empirical results suggesting that the decrease in operations needed to compute diagrams across a family of filtrations is proportional to the difference between the expected quadratic number of states, and the proposed sublinear coarsening  .
Revised:  Finally, we present results showing that the decrease in operations needed to compute diagrams across a family of filtrations is proportional to the difference between the expected quadratic number of states, and the proposed sublinear coarsening .
Edit intent: clarity
Original:  Finally, we provide empirical results suggesting that the decrease in operations needed to compute diagrams across a family of filtrations is proportional to the difference between the expected quadratic number of states, and the proposed sublinear coarsening  .
Revised:  Finally, we provide empirical results suggesting that the decrease in operations to compute diagrams across a family of filtrations is proportional to the difference between the expected quadratic number of states, and the proposed sublinear coarsening .
Edit intent: clarity
Original:  Unfortunately to date, the automatic lie detection , which may help us to understand this lying characteristics  are still fairly limited . Mainly due to lack of a lie dataset and corresponding evaluations .
Revised:  While automatic lie detection , which may help us to understand this lying characteristics are still fairly limited . Mainly due to lack of a lie dataset and corresponding evaluations .
Edit intent: coherence
Original:  Unfortunately to date, the automatic lie detection , which may help us to understand this lying characteristics  are still fairly limited . Mainly due to lack of a lie dataset and corresponding evaluations .
Revised:  Unfortunately to date, the automatic lie detection may help us to understand this lying characteristics are still fairly limited . Mainly due to lack of a lie dataset and corresponding evaluations .
Edit intent: coherence
Original:  Unfortunately to date, the automatic lie detection , which may help us to understand this lying characteristics  are still fairly limited . Mainly due to lack of a lie dataset and corresponding evaluations .
Revised:  Unfortunately to date, the automatic lie detection , which may help us to understand this lying characteristics are still fairly limited , partly due to lack of a lie dataset and corresponding evaluations .
Edit intent: coherence
Original:  In this work, we have collected a dataset that contains annotated images and 3D information of different participants faces during a card game that incentivise the lying .
Revised:  In this work, we have collected a dataset that contains annotated images and 3D information of several participants during a card game that incentivise the lying .
Edit intent: clarity
Original:  In this work, we have collected a dataset that contains annotated images and 3D information of different participants faces during a card game that incentivise the lying .
Revised:  In this work, we have collected a dataset that contains annotated images and 3D information of different participants faces during a card game that encourages players to lie .
Edit intent: clarity
Original:  Using our collected dataset, we evaluated several types of machine learning based lie detector through generalize, personal and cross lie lie experiments.
Revised:  Using our collected dataset, We evaluated several types of machine learning based lie detector through generalize, personal and cross lie lie experiments.
Edit intent: fluency
Original:  In these experiments, we showed the superiority of deep learning based model in recognizing the lie with best accuracyof 57\\%DIF < for generalized task and 63%DIFDELCMD < \\%%% %DIF < when dealing with a single participant.
Revised:  In these experiments, we showed the superiority of deep learning based model in recognizing the lie with best accuracyof 57\\%DIF < for %DIFDELCMD < \\%%% %DIF < when dealing with a single participant.
Edit intent: clarity
Original:  Finally, we %DIF > for the generalization task and 63\\% when dealing with a single  also highlight the limitation of the deep learning based lie detector when dealing with different types of lie tasks.
Revised:  Finally, we %DIF > for the generalization task and 63\\% when dealing with a single participant. Finally, we also highlight the limitation of the deep learning based lie detector when dealing with different types of lie tasks.
Edit intent: clarity
Original: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono  using 2D visual information as guidance.
Revised: For immersive applications, the generation of binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono using 2D visual information as guidance.
Edit intent: clarity
Original: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono  using 2D visual information as guidance.
Revised: Binaural sound that matches the visual counterpart is crucial to bring meaningful experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono using 2D visual information as guidance.
Edit intent: clarity
Original: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono  using 2D visual information as guidance.
Revised: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in a virtual environment . Recent works have shown the possibility to generate binaural audio from mono using 2D visual information as guidance.
Edit intent: clarity
Original: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono  using 2D visual information as guidance.
Revised: Binaural sound that matches the visual counterpart is crucial to bring meaningful and immersive experiences to people in augmented reality (AR) and virtual reality (VR) applications . Recent works have shown the possibility to generate binaural audio from mono audio using 2D visual information as guidance.
Edit intent: fluency
Original:  Using 3D visual information  may allow for a more accurate representation of a virtual audio scene for VR/AR applications.
Revised:  Using 3D visual information may allow for a more accurate auralization of a virtual audio scene for VR/AR applications.
Edit intent: clarity
Original:  Specifically, Points2Sound consist of a vision network  which extracts visual features from the point cloud scene to condition an audio network, which operates in the waveform domain, to synthesize the binaural version.
Revised:  Specifically, Points2Sound consists of a vision network which extracts visual features from the point cloud scene to condition an audio network, which operates in the waveform domain, to synthesize the binaural version.
Edit intent: fluency
Original:  Our PHC simulation models incorporate four types of patients seeking medical care: outpatients, limited inpatient care , childbirth cases, and patients seeking antenatal care.
Revised:  Our PHC simulation models incorporate four types of patients seeking medical care: outpatients, inpatients , childbirth cases, and patients seeking antenatal care.
Edit intent: clarity
Original:  A generic modelling approach involving development of reconfigurable simulations was adopted to simulate PHC operations.
Revised:  A generic modelling approach was adopted to simulate PHC operations.
Edit intent: clarity
Original:  A generic modelling approach involving development of reconfigurable simulations was adopted to simulate PHC operations.
Revised:  A generic modelling approach involving development of reconfigurable simulations was adopted to develop simulation models of PHC operations.
Edit intent: clarity
Original:  This involved developing an archetype PHC simulation, which was then modified to represent the three PHC configurations, differing in the number and type of services provided, encountered during PHC visits.
Revised:  This involved developing an archetype PHC simulation, which was then modified to represent the three PHC configurations, differing in numbers of resources and types of services provided, encountered during PHC visits.
Edit intent: clarity
Original:  A model representing the government-mandated case was also developed.
Revised:  A model representing a benchmark configuration conforming to government-mandated case was also developed.
Edit intent: clarity
Original: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Revised: waiting times and low resource utilisation values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Edit intent: fluency
Original: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Revised: waiting times and low resource utilization values at observed patient demand estimates. However, simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Edit intent: coherence
Original: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Revised: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the benchmark configuration indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Edit intent: clarity
Original: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilization . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Revised: waiting times and low resource utilization values at observed estimates of patient demand . Simulation outcomes for the government mandated configuration model based on demand estimated from public health data and larger outpatient consultation times indicated significantly higher resource utilisation . Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the government mandated case were performed.
Edit intent: clarity