wanyu/IteraTeR_v2 huggingface dataset:
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we tolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: clarity
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study the versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: clarity
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study thetolerant uniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: clarity
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study thetolerant versions of the classic andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: fluency
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study thetolerant versions of the classicuniformity identity testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: fluency
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study thetolerant versions of the classicuniformity and testing problems, providing improved query complexity bounds in the conditional sampling model.
Edit intent: fluency
Original:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity testing problems, providing improved query complexity bounds in the conditional sampling model.
Revised:  In this paper, we primarily study thetolerant versions of the classicuniformity andidentity improve query complexity bounds in the conditional sampling model.
Edit intent: clarity
Original:  Our bound even holds under the Pair Conditional Sampling model, a restricted version of the conditional sampling model where every queried subset S either must have exactly 2 elements, or must be the entire domain of the distribution.
Revised:  Our bound even holds under a restricted version of the conditional sampling model where every queried subset S either must have exactly 2 elements, or must be the entire domain of the distribution.
Edit intent: clarity
Original:  This theory provides a setting for the development of theory in areas such as computational complexity and analysis of algorithm that distinguishes itself by offering the possibility of equational reasoning to establish whether an instruction sequence computes a given function and being more general than the setting provided by any known version of the RAM model of computation.
Revised:  This theory provides a setting for the development of theory in areas such as computational complexity and analysis of algorithms that distinguishes itself by offering the possibility of equational reasoning to establish whether an instruction sequence computes a given function and being more general than the setting provided by any known version of the RAM model of computation.
Edit intent: fluency
Original: Communication protocols are the languages used by network nodes to accomplish their tasks .
Revised: Communication protocols are the languages used by network nodes .
Edit intent: clarity
Original:  Before a User Equipment (UE) can exchange a data bit with the Base Station (BS), it must first negotiate the conditions and parameters for that transmission , which is supported by signaling messages at all layers of the protocol stack.
Revised:  Before a user equipment (UE) can exchange a data bit with the Base Station (BS), it must first negotiate the conditions and parameters for that transmission , which is supported by signaling messages at all layers of the protocol stack.
Edit intent: fluency
Original:  Before a User Equipment (UE) can exchange a data bit with the Base Station (BS), it must first negotiate the conditions and parameters for that transmission , which is supported by signaling messages at all layers of the protocol stack.
Revised:  Before a User Equipment (UE) can exchange data with a base station (BS), it must first negotiate the conditions and parameters for that transmission , which is supported by signaling messages at all layers of the protocol stack.
Edit intent: clarity
Original:  Before a User Equipment (UE) can exchange a data bit with the Base Station (BS), it must first negotiate the conditions and parameters for that transmission , which is supported by signaling messages at all layers of the protocol stack.
Revised:  Before a User Equipment (UE) can exchange a data bit with the Base Station (BS), it must first negotiate the conditions and parameters for that transmission . This negotiation is supported by signaling messages at all layers of the protocol stack.
Edit intent: clarity
Original:  Each year, the mobile communications industry invests large sums of money to define and standardize these messages, which are designed by humans during lengthy technical (and often political) debates.
Revised:  Each year, the mobile communications industry defines and standardizes these messages, which are designed by humans during lengthy technical (and often political) debates.
Edit intent: clarity
Original:   But is this  the only way to develop a protocol?
Revised:  Following this standardization effort, the development phase begins, wherein the industry interprets and implements the resulting standards. But is this the only way to develop a protocol?
Edit intent: clarity
Original:  We address the question of whether radios can learn a pre-given target language (i.e., a signaling) as an intermediate step towards evolving their own.
Revised:  We address the question of whether radios can learn a pre-given target protocol as an intermediate step towards evolving their own.
Edit intent: clarity
Original:  Furthermore, we train cellular radios to emerge a channel access policy that performs optimally under the constraints of the target signaling .
Revised:  Furthermore, we train cellular radios to emerge a channel access policy that performs optimally under the constraints of the target protocol .
Edit intent: clarity
Original:  We show that Multiagent Reinforcement Learning (MARL) and learning-to-communicate  techniques achieve this goal with gains over expert systems.
Revised:  We show that multi-agent reinforcement learning (MARL) and learning-to-communicate techniques achieve this goal with gains over expert systems.
Edit intent: fluency
Original:  In this paper we start to bridge such a gap , focusing on a scenario in which a large population of devices share a common wireless channel in an uncoordinated fashion, and studying the age of information (AoI) metric when medium access follows the irregular repetition slotted ALOHA (IRSA) protocol .
Revised:  In this paper we start to bridge such a gap , focusing on a scenario in which a large population of devices share a common wireless channel in an uncoordinated fashion, and studying the age of information (AoI) metric when medium access follows the irregular repetition slotted ALOHA (IRSA) .
Edit intent: clarity
Original:  By means of a Markovian analysis, we track the AoI evolution for a source at the receiver , prove that the process is ergodic, and derive a compact closed form expression for its stationary distribution.
Revised:  By means of a Markovian analysis, we track the AoI evolution at the gateway , prove that the process is ergodic, and derive a compact closed form expression for its stationary distribution.
Edit intent: clarity
Original:  Leaning on this, we compute exact formulations for the average AoI and for the peak-age violation probability.
Revised:  Leaning on this, we compute exact formulations for the average AoI and the age violation probability.
Edit intent: clarity
Original:  The study reveals non-trivial design trade-offs for IRSA , highlighting the key role played by the protocol operating frame size.
Revised:  The study reveals non-trivial design trade-offs for IRSA and highlights the key role played by the protocol operating frame size.
Edit intent: coherence
Original:  Moreover, a comparison with the performance of a simpler slotted ALOHA strategy highlights a remarkable potential for modern random access  in terms of information freshness.
Revised:  Moreover, a comparison with the performance of a simpler slotted ALOHA strategy highlights a remarkable potential for modern random access schemes in terms of information freshness.
Edit intent: clarity
Original:  Understanding the logical parallelism of *process* propositions and *dynamic* types was one of the central problems of the semantics of computation, albeit not always clear or explicit.
Revised:  Understanding the logical parallelism of process propositions and dynamic types was one of the central problems of the semantics of computation, albeit not always clear or explicit.
Edit intent: fluency
Original:  It sprung into clarity through the early work of Samson Abramsky, where the central ideas of denotational semantics and process calculus were brought together and analyzed by categorical tools, e.g. in the structure of interaction categories .
Revised:  It sprung into clarity through the early work of Samson Abramsky, where the central ideas of denotational semantics and process calculus were brought together and analyzed by categorical tools, e.g. in the structure of interaction categories .
Edit intent: fluency
Original: Artificial Neural networks are one of the most widely applied approaches for classification problems .
Revised: Classifiers are one of the most widely applied approaches for classification problems .
Edit intent: clarity
Original: Artificial Neural networks are one of the most widely applied approaches for classification problems .
Revised: Artificial Neural networks are one of the most widely applied approaches in Artificial Intelligence (AI) .
Edit intent: clarity
Original:  The employment of artificial neural networks in critical applications has rendered any such emerging errors , in these systems , incredibly more significant.
Revised:  The employment of artificial neural networks in critical applications would render any errors in these systems , incredibly more significant.
Edit intent: clarity
Original:  This study aims to develop a verification method that eliminates errors through the integration of multiple artificial neural networks .
Revised:  This study aims to develop a verification method that eliminates errors through the integration of multiple classifiers .
Edit intent: clarity
Original:  In order to do this, first of all, a special property has been defined, by the authors, to extract the knowledge of these artificial neural networks.
Revised:  In order to do this, primarily, we have defined a special property has been defined, by the authors, to extract the knowledge of these artificial neural networks.
Edit intent: clarity
Original:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check whether the aforementioned special property has been satisfied, or not .
Revised:  Furthermore, a multi-agent system , comprised of multiple artificial neural networks , in order to check whether the aforementioned special property has been satisfied, or not .
Edit intent: coherence
Original:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check whether the aforementioned special property has been satisfied, or not .
Revised:  Furthermore, a multi-agent system has been designed, itself comprised of multiple classifiers , in order to check whether the aforementioned special property has been satisfied, or not .
Edit intent: clarity
Original:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check whether the aforementioned special property has been satisfied, or not .
Revised:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check the satisfaction of the aforementioned special property has been satisfied, or not .
Edit intent: clarity
Original:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check whether the aforementioned special property has been satisfied, or not .
Revised:  Furthermore, a multi-agent system has been designed, itself comprised of multiple artificial neural networks , in order to check whether the aforementioned special property .
Edit intent: coherence
Original:  Also, in order to help examine the reasoning concerning the aggregation of the distributed knowledge, itself gained through the combined effort of separate artificial neural networks and acquired external information sources, a dynamic epistemic logic-based method has been proposed.
Revised:  Also, in order to help examine the reasoning concerning the aggregation of the distributed knowledge, itself gained through the combined effort of separate classifiers and acquired external information sources, a dynamic epistemic logic-based method has been proposed.
Edit intent: clarity
Original:  As a result, our model shall be capable of verifying specific inputs, if the cumulative knowledge of the entire system proves its correctness.
Revised:  As a result, our model shall be capable of verifying itself given specific inputs if the cumulative knowledge of the entire system proves its correctness.
Edit intent: clarity
Original:  Which after being applied on the MNIST dataset  successfully reduced the error rate to roughly one-eighth of previous runs on individual artificial neural network in the same model .
Revised:  Which after being applied on the MNIST dataset , and it successfully reduced the error rate to roughly one-eighth of previous runs on individual artificial neural network in the same model .
Edit intent: coherence
Original:  Which after being applied on the MNIST dataset  successfully reduced the error rate to roughly one-eighth of previous runs on individual artificial neural network in the same model .
Revised:  Which after being applied on the MNIST dataset successfully reduced the error rate to approximately one-tenth of the individual classifiers. In conclusion, we have formulated and developed a Multi-Agent Systems' Knowledge-Sharing algorithm (MASKS) and verified its utility compared to individual classifiers using the MNIST dataset .
Edit intent: clarity
Original: Given a colored point set in the plane, a perfect rainbow polygon is a simple polygon that contains exactly one point of each color, either in its interior or on its boundary.
Revised: Given a colored point set in the plane, a perfect rainbow polygon is a simple polygon that contains exactly one point of each color, either in its interior or on its boundary.
Edit intent: fluency
Original:  We consider a stylized duopoly model in which two firms face the same  multi-armed bandit instance .
Revised:  We consider a stylized duopoly model in which two firms face the same multi-armed bandits .
Edit intent: clarity
Original: Most online platforms strive to learn from interactions with consumers , and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information.
Revised: Most online platforms strive to learn from interactions with users , and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information.
Edit intent: clarity
Original:  We initiate a study of the interplay between exploration and competition: how such platforms balance the exploration for learning and the competition for consumers.
Revised:  We study the interplay between exploration and competition: how such platforms balance the exploration for learning and the competition for consumers.
Edit intent: clarity
Original:  We study whether and to what extent competition incentivizes the adoption of better bandit algorithms, and whether it leads to welfare increases for consumers .
Revised:  We study whether and to what extent competition incentivizes the adoption of better bandit algorithms, and whether it leads to welfare increases for users .
Edit intent: clarity
Original:  We find that stark competition induces firms to commit to a "greedy" bandit algorithm that leads to low consumer welfare.
Revised:  We find that stark competition induces firms to commit to a "greedy" bandit algorithm that leads to low welfare.
Edit intent: clarity
Original:  However, we find that weakening competition by providing firms with some "free" consumers incentivizes better exploration strategies and increases consumer welfare.
Revised:  However, weakening competition by providing firms with some "free" consumers incentivizes better exploration strategies and increases consumer welfare.
Edit intent: coherence
Original:  However, we find that weakening competition by providing firms with some "free" consumers incentivizes better exploration strategies and increases consumer welfare.
Revised:  However, we find that weakening competition by providing firms with some "free" users incentivizes better exploration strategies and increases consumer welfare.
Edit intent: clarity
Original:  However, we find that weakening competition by providing firms with some "free" consumers incentivizes better exploration strategies and increases consumer welfare.
Revised:  However, we find that weakening competition by providing firms with some "free" consumers incentivizes better exploration strategies and increases welfare.
Edit intent: clarity
Original:  We investigate two channels for weakening the competition: relaxing the rationality of consumers and giving one firm a first-mover advantage.
Revised:  We investigate two channels for weakening the competition: relaxing the rationality of users and giving one firm a first-mover advantage.
Edit intent: clarity
Original:  We provide a mix of theoretical results and numerical simulations.
Edit intent: coherence
Original:  They also elucidate the first-mover advantage in the digital economy by exploring the role that data can play as a barrier to entry in online markets .
Revised:  They also elucidate the first-mover advantage in the digital economy .
Edit intent: clarity
Original: Jupyter notebooks have emerged as a standard tool for data science programming.
Revised: Jupyter notebooks has emerged as a standard tool for data science programming.
Edit intent: fluency
Original:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order  . Previous studies have shown the presence of considerable code duplication  in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Revised:  Programs in Jupyter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order . Previous studies have shown the presence of considerable code duplication in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Edit intent: clarity
Original:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order  . Previous studies have shown the presence of considerable code duplication  in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Revised:  Programs in Jupiter notebooks are different from typical programs as they are constructed by a collection of code snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order . Previous studies have shown the presence of considerable code duplication in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Edit intent: clarity
Original:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order  . Previous studies have shown the presence of considerable code duplication  in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Revised:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation . This allows interactive exploration and execution of snippets in different order . Previous studies have shown the presence of considerable code duplication in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Edit intent: coherence
Original:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and execution of snippets in different order  . Previous studies have shown the presence of considerable code duplication  in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Revised:  Programs in Jupiter notebooks are different from typical programs by dividing code into snippets interleaved with text and visualisation and allowing interactive exploration and snippets may be executed in different order . Previous studies have shown the presence of considerable code duplication in sources of traditional programs, in both so-called systems programming languages and so-called scripting languages.
Edit intent: clarity
Original:  We find that that code cloning is common in Jupyter notebooks -- more than 70\% of all code snippets are exact copies of other snippets  , and around 50\% of all notebooks do not have a unique snippet, but consists solely of snippets that are also found elsewhere.
Revised:  We find that code cloning is common in Jupyter notebooks -- more than 70\% of all code snippets are exact copies of other snippets , and around 50\% of all notebooks do not have a unique snippet, but consists solely of snippets that are also found elsewhere.
Edit intent: coherence
Original:  We find that that code cloning is common in Jupyter notebooks -- more than 70\% of all code snippets are exact copies of other snippets  , and around 50\% of all notebooks do not have a unique snippet, but consists solely of snippets that are also found elsewhere.
Revised:  We find that that code cloning is common in Jupyter notebooks -- more than 70\% of all code snippets are exact copies of other snippets , and around 50\% of all notebooks do not have any unique snippet, but consists solely of snippets that are also found elsewhere.
Edit intent: clarity