wanyu/IteraTeR_v2 huggingface dataset:
Original:  Some results carry over from iterative learning by a general lemma showing that, for a wealth of restrictions (the semantic restrictions), iterative and bounded memory states learning are equivalent.
Revised:  Some results carry over from iterative learning by a general lemma showing that, for a wealth of restrictions (the semantic restrictions), iterative and bounded memory states learning are equivalent.
Edit intent: fluency
Original:  Given the ambiguity inherent in such text, it is not surprising that over the years protocol implementations exhibited bugs and non-interoperabilities .
Revised:  Given the ambiguity inherent in such text, it is not surprising that protocol implementations have long exhibited bugs .
Edit intent: clarity
Original:  In this paper, we explore to what extent natural language processing (NLP) , an area that has made impressive strides in recent years, can be used to generate protocol implementations .
Revised:  In this paper, we apply natural language processing (NLP) , an area that has made impressive strides in recent years, can be used to generate protocol implementations .
Edit intent: clarity
Original:  We advocate a semi-automated protocol generation approach, Sage, that can be used to uncover ambiguous or under-specified sentences in specifications;
Revised:  We advocate a semi-automated generation of protocol implementations from specification text. Our system, SAGE, can uncover ambiguous or under-specified sentences in specifications;
Edit intent: clarity
Original:  these can then be fixed by a human iteratively until Sage is able to generate protocol code automatically.
Revised:  once these are clarified by the spec author, SAGE can generate protocol code automatically.
Edit intent: clarity
Original:  Using an implementation of Sage , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC , after fixing which Sage is able to generate code automatically that interoperates perfectly with Linux implementations.
Revised:  Using SAGE , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC , after fixing which Sage is able to generate code automatically that interoperates perfectly with Linux implementations.
Edit intent: clarity
Original:  Using an implementation of Sage , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC , after fixing which Sage is able to generate code automatically that interoperates perfectly with Linux implementations.
Revised:  Using an implementation of Sage , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC ; after clarification, SAGE is able to generate code automatically that interoperates perfectly with Linux implementations.
Edit intent: coherence
Original:  Using an implementation of Sage , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC , after fixing which Sage is able to generate code automatically that interoperates perfectly with Linux implementations.
Revised:  Using an implementation of Sage , we discover 5 instances of ambiguity and 6 instances of under-specification in the ICMP RFC , after fixing which Sage is able to automatically generate code that interoperates perfectly with Linux implementations.
Edit intent: fluency
Original:  We also find that Sage supports half of the conceptual components found in major standards protocols;
Revised:  We also find that SAGE supports many of the conceptual components found in major standards protocols;
Edit intent: clarity
Original:  this suggests that, with some additional machinery, Sage may be able to generalize to TCP and BGP.
Revised:  this suggests that, with some additional machinery, SAGE may be able to generalize to TCP and BGP.
Edit intent: fluency
Original:  Our primary contribution is a polynomial-time algorithm that list decodes this family to distances approaching 1/2 times the minimum distance.
Revised:  Our primary contribution is a polynomial-time algorithm that list decodes this family to distances approaching 1/2 times the minimum distance.
Edit intent: fluency
Original:  Our primary contribution is a polynomial-time algorithm that list decodes this family to distances approaching 1/2 times the minimum distance.
Revised:  Our primary contribution is a polynomial-time algorithm that list decodes this family to distances approaching 1/2 of the minimum distance.
Edit intent: clarity
Original: Pandemics such as COVID-19 have lethal potential for inflicting long-lasting cyclic devastations if required preventive, curative and reformative steps are not taken up in time which puts forth mammoth multi-dimensional challenges for survival before mankind.
Revised: Pandemics such as COVID-19 pandemic has sharply projected the globally persistent multi-dimensional challenges for survival before mankind.
Edit intent: clarity
Original:  The problems intensify with increasing population density whilst varying with several socio-economic-geo-cultural and human activity parameters.
Revised:  The problems intensify with increasing population densities and also vary with several socio-economic-geo-cultural and human activity parameters.
Edit intent: coherence
Original:  The problems intensify with increasing population density whilst varying with several socio-economic-geo-cultural and human activity parameters.
Revised:  The problems intensify with increasing population density whilst varying with several socio-economic-geo-cultural activity parameters.
Edit intent: clarity
Original:  Ensuring a mechanism for policy designs envisaging crisis scenarios through continuous analysis of real-time region-specific data about societal activities and disease / health indicators can be the only solution.
Revised:  Ensuring a mechanism for policy designs envisaging crisis scenarios through continuous analysis of real-time region-specific downstream / health indicators can be the only solution.
Edit intent: clarity
Original:  Our approach is designed for general dynamic scenes and uses a neural network-based learned scattered field representation along with ray tracing to generate specular, diffuse, diffraction, and occlusion effects efficiently.
Revised:  Our approach is designed for dynamic scenes and uses a neural network-based learned scattered field representation along with ray tracing to generate specular, diffuse, diffraction, and occlusion effects efficiently.
Edit intent: clarity
Original:  To handle general objects, we exploit properties of the acoustic scattering field and use geometric deep learning to approximate the  field using spherical harmonics.
Revised:  We use geometric deep learning to approximate the field using spherical harmonics.
Edit intent: coherence
Original:  To handle general objects, we exploit properties of the acoustic scattering field and use geometric deep learning to approximate the  field using spherical harmonics.
Revised:  To handle general objects, we exploit properties of the acoustic scattering field and use geometric deep learning to approximate the acoustic scattering field using spherical harmonics.
Edit intent: fluency
Original:  The additional overhead of computing the learned scattered field at runtime is small and we highlight the interactive performance by generating plausible sound effects in dynamic scenes with diffraction and occlusion effects.
Revised:  The additional overhead of computing the learned scattered field at runtime is small and we demonstrate its interactive performance by generating plausible sound effects in dynamic scenes with diffraction and occlusion effects.
Edit intent: clarity
Original: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Revised: Hierarchical Multi-Agent Systems provide convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Edit intent: fluency
Original: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Revised: Hierarchical Multi-Agent Systems provide a convenient and relevant ways to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Edit intent: fluency
Original: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Revised: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems composed of a large number of entities are interacting at different levels of abstraction.
Edit intent: clarity
Original: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities are interacting at different levels of abstraction.
Revised: Hierarchical Multi-Agent Systems provide a convenient and relevant way to analyze, model, and simulate complex systems in which a large number of entities that interact at different levels of abstraction.
Edit intent: clarity
Original:  This is carried out by firstly modeling the machine learning solutions as a hypergraph and then autonomously setting up a multi-level structure composed of heterogeneous agents based on their innate capabilities and learned skills.
Revised:  This is carried out by firstly modeling the machine learning solutions as a hypergraph and autonomously sets up a multi-level structure composed of heterogeneous agents based on their innate capabilities and learned skills.
Edit intent: coherence
Original:  This is carried out by firstly modeling the machine learning solutions as a hypergraph and then autonomously setting up a multi-level structure composed of heterogeneous agents based on their innate capabilities and learned skills.
Revised:  This is carried out by firstly modeling the machine learning solutions as a hypergraph and then autonomously setting up a multi-level structure of heterogeneous agents based on their innate capabilities and learned skills.
Edit intent: clarity
Original:  HAMLET aids the design and management of machine learning systems and provides analytical capabilities for the research communities to assess the existing and/or new algorithms/datasets through flexible and customizable queries.
Revised:  HAMLET aids the design and management of machine learning systems and provides analytical capabilities for research communities to assess the existing and/or new algorithms/datasets through flexible and customizable queries.
Edit intent: fluency
Original:  The proposed  platform does not assume restrictions on the type of machine learning algorithms/datasets and is theoretically proven to be sound and complete with polynomial computational requirements.
Revised:  The proposed platform does not assume restrictions on the type of learning algorithms/datasets and is theoretically proven to be sound and complete with polynomial computational requirements.
Edit intent: clarity
Original:  The experimental results provided not only establish confidence in the platform's consistency and correctness but also demonstrates its testing and analytical capacity.
Revised:  The provided experimental results not only establish confidence in the platform's consistency and correctness but also demonstrates its testing and analytical capacity.
Edit intent: fluency
Original:  The experimental results provided not only establish confidence in the platform's consistency and correctness but also demonstrates its testing and analytical capacity.
Revised:  The experimental results provided not only establish confidence in the platform's consistency and correctness but also demonstrate its testing and analytical capacity.
Edit intent: fluency
Original: In recent years, it became clear that super-spreader events play an important role, particularly in the spread of airborne infection .
Revised: In recent years, it became clear that super-spreader events play an important role, particularly in the spread of airborne infections .
Edit intent: fluency
Original:  We investigate a novel model for super-spreader events, not based on the contact structure but on a random contact rate: Many individuals become infected synchronously in single contact events.
Revised:  We investigate a novel model for super-spreader events, not based on a heterogeneous contact graph but on a random contact rate: Many individuals become infected synchronously in single contact events.
Edit intent: clarity
Original:  In this work we introduce Emergent Behavior-DEVS (EB-DEVS) a Modeling and Simulation (M \& S) formalism that permits reasoning about complex systems where emergent behavior is placed at the forefront of the analysis activity.
Revised:  In this work we introduce Emergent Behavior-DEVS (EB-DEVS) a Modeling and Simulation (M S) formalism that permits reasoning about complex systems where emergent behavior is placed at the forefront of the analysis activity.
Edit intent: fluency
Original:  EB-DEVS builds on the DEVS formalism, adding upward/downward communication channels to well-established capabilities for modular and hierarchical M \& S of heterogeneous multi-formalism systems.
Revised:  EB-DEVS builds on the DEVS formalism, adding upward/downward communication channels to well-established capabilities for modular and hierarchical M S of heterogeneous multi-formalism systems.
Edit intent: fluency
Original:  We present three case studies: flocks of birds with learning, population epidemics with vaccination and sub-cellular dynamics with homeostasis, through which we showcase how EB-DEVS performs by placing emergent properties at the center of the M \& S process.
Revised:  We present three case studies: flocks of birds with learning, population epidemics with vaccination and sub-cellular dynamics with homeostasis, through which we showcase how EB-DEVS performs by placing emergent properties at the center of the M S process.
Edit intent: clarity
Original:  Recent techniques combine classic static analysis methods with inference procedure to obtain accurate quantification of the probability of rare target events, such as failures in a mission-critical system.
Revised:  Recent techniques combine classic static analysis methods with inference procedure to obtain accurate estimates of the occurrence probability of rare target events, such as failures in a mission-critical system.
Edit intent: clarity
Original:  However, current techniques face several scalability and applicability limitations when analyzing software processing with high-dimensional multivariate distributions.
Revised:  However, they face several scalability and applicability limitations when analyzing software processing with high-dimensional multivariate distributions.
Edit intent: clarity
Original:  Lack of such community resources for anomaly detection (AD) severely limits progress.
Revised:  Lack of such community resources severely limits scientific progress.
Edit intent: clarity
Original:  In this report , we present AnomalyBench , the first comprehensive  benchmark for explainable AD over high-dimensional (2000+) time series data.
Revised:  In this paper , we present AnomalyBench , the first comprehensive benchmark for explainable AD over high-dimensional (2000+) time series data.
Edit intent: clarity
Original:  AnomalyBench has been systematically constructed based on real data traces from ~100 repeated executions of 10 large-scale stream processing jobs on a Spark cluster.
Revised:  AnomalyBench has been systematically constructed based on real data traces from repeated executions of 10 large-scale stream processing jobs on a Spark cluster.
Edit intent: clarity
Original:  AnomalyBench has been systematically constructed based on real data traces from ~100 repeated executions of 10 large-scale stream processing jobs on a Spark cluster.
Revised:  AnomalyBench has been systematically constructed based on real data traces from ~100 repeated executions of large-scale stream processing jobs on a Spark cluster.
Edit intent: clarity
Original:  AnomalyBench has been systematically constructed based on real data traces from ~100 repeated executions of 10 large-scale stream processing jobs on a Spark cluster.
Revised:  AnomalyBench has been systematically constructed based on real data traces from ~100 repeated executions of 10 large-scale stream processing jobs on an Apache Spark cluster.
Edit intent: clarity
Original:  30+ of these executions were  disturbed by introducing ~100 instances of different types of anomalous events (e.g., misbehaving inputs, resource contention, process failures).
Revised:  30+ of these executions were intentionally disturbed by introducing ~100 instances of different types of anomalous events (e.g., misbehaving inputs, resource contention, process failures).
Edit intent: clarity
Original:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the  effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Revised:  For each of the anomaly instances, ground truth labels for the root-cause interval as well as those for the effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Edit intent: fluency
Original:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the  effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Revised:  For each of these anomaly instances, ground truth labels for the root cause interval as well as those for the effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Edit intent: fluency
Original:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the  effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Revised:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the extended effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Edit intent: clarity
Original:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the  effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Revised:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the effect interval are provided, supporting the development and evaluation of a wide range of anomaly detection (AD) and explanation discovery (ED) tasks via root-cause analysis .
Edit intent: clarity
Original:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the  effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks via root-cause analysis .
Revised:  For each of these anomaly instances, ground truth labels for the root-cause interval as well as those for the effect interval are available, providing a means for supporting both ADtasks and explanation discovery (ED) tasks .
Edit intent: clarity
Original:  We demonstrate the key design features and practical utility of AnomalyBench through an experimental study with three state-of-the-art semi-supervised AD techniques.
Revised:  We demonstrate the practical utility of AnomalyBench through an experimental study with three state-of-the-art semi-supervised AD techniques.
Edit intent: clarity
Original: Algorithms and other formal models that incorporate human values like fairness have grown increasingly popular in computer science.
Revised: Algorithms and other formal models purportedly incorporating human values like fairness have grown increasingly popular in computer science.
Edit intent: clarity
Original:  In response to sociotechnical challenges in the use of these models, designers and researchers have taken widely divergent positions on the use of formal models of human values  : encouraging their use, moving away from them, or ignoring the normative consequences altogether.
Revised:  In response to sociotechnical challenges in the use of these models, designers and researchers have taken widely divergent positions on how formal models incorporating aspects of human values : encouraging their use, moving away from them, or ignoring the normative consequences altogether.
Edit intent: clarity
Original:  In response to sociotechnical challenges in the use of these models, designers and researchers have taken widely divergent positions on the use of formal models of human values  : encouraging their use, moving away from them, or ignoring the normative consequences altogether.
Revised:  In response to sociotechnical challenges in the use of these models, designers and researchers have taken widely divergent positions on the use of formal models of human values should be used : encouraging their use, moving away from them, or ignoring the normative consequences altogether.
Edit intent: clarity
Original:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values-value fidelity, accuracy, value legibility, and value contestation-vital for incorporating human values  into formal models.
Revised:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values--value fidelity, appropriate accuracy, value legibility, and value contestation-vital for incorporating human values into formal models.
Edit intent: clarity
Original:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values-value fidelity, accuracy, value legibility, and value contestation-vital for incorporating human values  into formal models.
Revised:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values-value fidelity, accuracy, value legibility, and value contestation--vital for incorporating human values into formal models.
Edit intent: fluency
Original:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values-value fidelity, accuracy, value legibility, and value contestation-vital for incorporating human values  into formal models.
Revised:  In this paper, we seek to resolve these divergent positions by identifying the main conceptual limits of formal modeling, and develop four reflexive values-value fidelity, accuracy, value legibility, and value contestation-vital for incorporating human values adequately into formal models.
Edit intent: clarity
Original:  We then provide a  methodology for reflexively designing formal models incorporating human values without ignoring their societal implications .
Revised:  We then provide a brief methodology for reflexively designing formal models incorporating human values without ignoring their societal implications .
Edit intent: clarity
Original:  We then provide a  methodology for reflexively designing formal models incorporating human values without ignoring their societal implications .
Revised:  We then provide a methodology for reflexively designing formal models incorporating human values .
Edit intent: clarity