wanyu/IteraTeR_v2 huggingface dataset:
Original: Most state of the art decision systems based on Reinforcement Learning (RL) are data-driven black-box neuralmodels , where it is often difficult to incorporate expert knowledge into the models or let experts review andvalidate the learned decision mechanisms.
Revised: Most state of the art decision systems based on Reinforcement Learning (RL) are data-driven black-box neural models , where it is often difficult to incorporate expert knowledge into the models or let experts review andvalidate the learned decision mechanisms.
Edit intent: fluency
Original: Most state of the art decision systems based on Reinforcement Learning (RL) are data-driven black-box neuralmodels , where it is often difficult to incorporate expert knowledge into the models or let experts review andvalidate the learned decision mechanisms.
Revised: Most state of the art decision systems based on Reinforcement Learning (RL) are data-driven black-box neuralmodels , where it is often difficult to incorporate expert knowledge into the models or let experts review and validate the learned decision mechanisms.
Edit intent: fluency
Original:  Knowledge-insertion and model review are important requirements inmany applications involving human health and safety.
Revised:  Knowledge-insertion and model review are important requirements in many applications involving human health and safety.
Edit intent: fluency
Original:  One way to bridge the gap between data and knowledgedriven systems is program synthesis: replacing a neural network that outputs decisions with one that generatesdecision-making code in some programming language.
Revised:  One way to bridge the gap between data- and knowledge-driven systems is program synthesis: replacing a neural network that outputs decisions with one that generatesdecision-making code in some programming language.
Edit intent: fluency
Original:  One way to bridge the gap between data and knowledgedriven systems is program synthesis: replacing a neural network that outputs decisions with one that generatesdecision-making code in some programming language.
Revised:  One way to bridge the gap between data and knowledgedriven systems is program synthesis: replacing a neural network that outputs decisions with one that generates decision-making code in some programming language.
Edit intent: fluency
Original:  One way to bridge the gap between data- and knowledge-driven systems is program synthesis: replacing a neural network that outputs decisions with one that generates decision-making code in some programminglanguage .
Revised:  One way to bridge the gap between data and knowledge driven systems is program synthesis: replacing a neural network that outputs decisions with one that generates decision-making code in some programminglanguage .
Edit intent: fluency
Original:  One way to bridge the gap between data- and knowledge-driven systems is program synthesis: replacing a neural network that outputs decisions with one that generates decision-making code in some programminglanguage .
Revised:  One way to bridge the gap between data- and knowledge-driven systems is program synthesis: replacing a neural network that outputs decisions with a symbolic program generated by a neural network or by means of genetic programming .
Edit intent: clarity
Original:  We propose a new programming language, BF++, designed specifically for neural program synthesis in a Partially Observable Markov Decision Process (POMDP) setting and generate programs for a number of standard OpenAI Gym benchmarks.
Revised:  We propose a new programming language, BF++, designed specifically for automatic programming of agents in a Partially Observable Markov Decision Process (POMDP) setting and generate programs for a number of standard OpenAI Gym benchmarks.
Edit intent: clarity
Original:  We propose a new programming language, BF++, designed specifically for neural program synthesis in a Partially Observable Markov Decision Process (POMDP) setting and generate programs for a number of standard OpenAI Gym benchmarks.
Revised:  We propose a new programming language, BF++, designed specifically for neural program synthesis in a Partially Observable Markov Decision Process (POMDP) setting and apply neural program synthesis to solve standard OpenAI Gym benchmarks.
Edit intent: clarity
Original:  We exposit an unpublished conjecture of Golovnev, Meka, Sudan, and Velusamy on point-hyperplane incidence graphs, which posits the ]  existence of large complete bipartite subgraphs (of density 2^{-{polylog(d) . This conjecture implies the log-rank conjecture of Lov\'asz and Saks in deterministic communication complexity via a reduction of Nisan and Wigderson to a conjecture positing the existence of large monochromatic rectangles in low-rank Boolean matrices.
Revised:  We exposit an unpublished conjecture of Golovnev, Meka, Sudan, and Velusamy on point-hyperplane incidence graphs, which posits the ] existence of large complete bipartite subgraphs (of density 2^{-{polylog(d) . This conjecture implies the log-rank conjecture of Lov\'asz and Saks in deterministic communication complexity via a reduction of Nisan and Wigderson to a conjecture on the existence of large monochromatic rectangles in low-rank Boolean matrices.
Edit intent: fluency
Original:  We improve an upper-bound constrution of Apfelbaum and Sharir (based on earlier work of Elekes and T\'oth) by selecting a dense subset with many fewer vertices ( by applying a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Revised:  We improve an upper-bound construction of Apfelbaum and Sharir (based on earlier work of Elekes and T\'oth) by selecting a dense subset with many fewer vertices ( by applying a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Edit intent: fluency
Original:  We improve an upper-bound constrution of Apfelbaum and Sharir (based on earlier work of Elekes and T\'oth) by selecting a dense subset with many fewer vertices ( by applying a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Revised:  We improve an upper-bound constrution of Apfelbaum and Sharir by selecting a dense subset with many fewer vertices ( by applying a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Edit intent: clarity
Original:  We improve an upper-bound constrution of Apfelbaum and Sharir (based on earlier work of Elekes and T\'oth) by selecting a dense subset with many fewer vertices ( by applying a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Revised:  We improve an upper-bound constrution of Apfelbaum and Sharir (based on earlier work of Elekes and T\'oth) by selecting a dense subset with many fewer vertices ( via the application of a Chernoff bound), yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d) .
Edit intent: clarity
Original:  Finally, we survey the lower bounds of Apfelbaum and Sharir, which are based on incidence bounds for nondegenerate hyperplanes of Elekes and T\'oth (recently improved by Lund arXiv:1708.00039%DIFDELCMD < ]%%% ), and discuss their applicability/lack thereof in our context .
Revised:  Finally, we survey the lower bounds of Apfelbaum and Sharir, which are based on incidence bounds for nondegenerate hyperplanes of Elekes and T\'oth (recently improved by Lund %DIFDELCMD < ]%%% ), and discuss their applicability/lack thereof in our context .
Edit intent: coherence
Original:  Finally, we survey the lower bounds of Apfelbaum and Sharir, which are based on incidence bounds for nondegenerate hyperplanes of Elekes and T\'oth (recently improved by Lund arXiv:1708.00039%DIFDELCMD < ]%%% ), and discuss their applicability/lack thereof in our context .
Revised:  Finally, we survey the lower bounds of Apfelbaum and Sharir, which are based on incidence bounds for nondegenerate hyperplanes of Elekes and T\'oth (recently improved by Lund arXiv:1708.00039%DIFDELCMD < ]%%% .
Edit intent: coherence
Original: Motivated by an unpublished work of Golovnev, Meka, Sudan, and Velusamy we revisit questions in incidence geometry and their connections to the log-rank conjecture in communication complexity.
Revised: We study the log-rank conjecture in communication complexity.
Edit intent: clarity
Original: Motivated by an unpublished work of Golovnev, Meka, Sudan, and Velusamy we revisit questions in incidence geometry and their connections to the log-rank conjecture in communication complexity.
Revised: Motivated by an unpublished work of Golovnev, Meka, Sudan, and Velusamy we revisit questions in incidence geometry and their connections to the log-rank conjecture 
Edit intent: clarity
Original:  GMSV%DIFDELCMD < ] %%% made a quantitative conjecture about the existence of large bipartite subgraphs in dense hyperplane-point incidence graphs in low dimensions.
Revised:  %DIFDELCMD < ] %%% made a quantitative conjecture about the existence of large bipartite subgraphs in dense hyperplane-point incidence graphs in low dimensions.
Edit intent: clarity
Original:  We give a simple probabilistic argument for the existence of complete bipartite subgraphs with incidence density \Omega(\epsilon^{2d}/d) in any incidence graph with density \epsilon in dimension d , matching previously known results qualitatively.
Revised:  We give a simple probabilistic argument for the existence of complete bipartite subgraphs of density \Omega(\epsilon^{2d}/d) in any incidence graph with density \epsilon in dimension d , matching previously known results qualitatively.
Edit intent: clarity
Original:  We give a simple probabilistic argument for the existence of complete bipartite subgraphs with incidence density \Omega(\epsilon^{2d}/d) in any incidence graph with density \epsilon in dimension d , matching previously known results qualitatively.
Revised:  We give a simple probabilistic argument for the existence of complete bipartite subgraphs with incidence density \Omega(\epsilon^{2d}/d) in any d-dimensional configuration with incidence density \epsilon , matching previously known results qualitatively.
Edit intent: clarity
Original:  We  improve an upper-bound construction of Apfelbaum and Sharir by selecting a dense subset with many fewer vertices (via the application of a Chernoff bound) , yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d).
Revised:  We also improve an upper-bound construction of Apfelbaum and Sharir by selecting a dense subset with many fewer vertices (via the application of a Chernoff bound) , yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d).
Edit intent: clarity
Original:  We  improve an upper-bound construction of Apfelbaum and Sharir by selecting a dense subset with many fewer vertices (via the application of a Chernoff bound) , yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d).
Revised:  We improve an upper-bound construction of Apfelbaum and Sharir , yielding a configuration whose complete bipartite subgraphs are exponentially small and whose incidence density is \Omega(1/\sqrt d).
Edit intent: clarity
Original:  The reformulation involves point sets in R^d that are covered in many ways by constant sized sets of parallel hyperplanes .
Revised:  The reformulation involves point sets in R^d that is covered by constant-sized sets of parallel hyperplanes .
Edit intent: clarity
Original:  The strengthening of the log-rank conjecture comes from relaxing the requirements that the set of hyperplanes be parallel .
Revised:  The strengthening of the log-rank conjecture .
Edit intent: clarity
Original:  Motivated by the connections above we revisit some well-studied questions in point-hyperplane incidence geometry and present some improvements.
Revised:  Motivated by the connections above , we revisit well-studied questions in point-hyperplane incidence geometry and present some improvements.
Edit intent: fluency
Original:  Maximum-likelihood inference in the DCHSBM naturally leads to a clustering objective that generalizes the popular modularity objective for graphs.
Revised:  Approximate maximum-likelihood inference in the DCHSBM naturally leads to a clustering objective that generalizes the popular modularity objective for graphs.
Edit intent: clarity
Original: Hypergraphs are a natural modeling paradigm for a wide range of complex relational systems with multibody interactions .
Revised: Hypergraphs are a natural modeling paradigm for a wide range of complex relational systems .
Edit intent: clarity
Original:  In particular, there are regimes in which hypergraph methods can recover planted partitions even though graph based methods necessarily fail due to information-theoretic limits.
Edit intent: coherence
Original: Speaker diarization is a task to label audio or video recordings with classes corresponding to speaker identity, or in short, a task to identify "who spoke when".
Revised: Speaker diarization is a task to label audio or video recordings with classes that correspond to speaker identity, or in short, a task to identify "who spoke when".
Edit intent: fluency
Original:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Revised:  In the early years, speaker diarization algorithms were developed for speech recognition on multispeaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Edit intent: fluency
Original:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Revised:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing . These algorithms also gained their own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Edit intent: clarity
Original:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Revised:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a standalone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Edit intent: fluency
Original:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific meta information for downstream tasks such as audio retrieval.
Revised:  In the early years, speaker diarization algorithms were developed for speech recognition on multi-speaker audio recordings to enable speaker adaptive processing , but also gained its own value as a stand-alone application over time to provide speaker-specific metainformation for downstream tasks such as audio retrieval.
Edit intent: clarity
Original:  More recently, with the rise of deep learning technology that has been a driving force to revolutionary changes in research and practices across speech application domains in the past decade, more rapid advancements have been made for speaker diarization.
Revised:  More recently, with the emergence of deep learning technology that has been a driving force to revolutionary changes in research and practices across speech application domains in the past decade, more rapid advancements have been made for speaker diarization.
Edit intent: clarity
Original:  More recently, with the rise of deep learning technology that has been a driving force to revolutionary changes in research and practices across speech application domains in the past decade, more rapid advancements have been made for speaker diarization.
Revised:  More recently, with the rise of deep learning technology , which has driven revolutionary changes in research and practices across speech application domains in the past decade, more rapid advancements have been made for speaker diarization.
Edit intent: coherence
Original:  More recently, with the rise of deep learning technology that has been a driving force to revolutionary changes in research and practices across speech application domains in the past decade, more rapid advancements have been made for speaker diarization.
Revised:  More recently, with the rise of deep learning technology that has been a driving force to revolutionary changes in research and practices across speech application domains , rapid advancements have been made for speaker diarization.
Edit intent: clarity
Original:  We also discuss how speaker diarization systems have been integrated with speech recognition applications and how the recent surge of deep learning is leading the way of jointly modeling these two components to be complementary to each other.
Revised:  Furthermore, we discuss how speaker diarization systems have been integrated with speech recognition applications and how the recent surge of deep learning is leading the way of jointly modeling these two components to be complementary to each other.
Edit intent: coherence
Original:  By considering such exciting technical trends, we believe that it is a valuable contribution to the community to provide a survey work by consolidating the recent developments with neural methods and thus facilitating further progress towards a more efficient speaker diarization.
Revised:  By considering such exciting technical trends, we believe that this paper is a valuable contribution to the community to provide a survey work by consolidating the recent developments with neural methods and thus facilitating further progress towards a more efficient speaker diarization.
Edit intent: clarity
Original:  By considering such exciting technical trends, we believe that it is a valuable contribution to the community to provide a survey work by consolidating the recent developments with neural methods and thus facilitating further progress towards a more efficient speaker diarization.
Revised:  By considering such exciting technical trends, we believe that it is a valuable contribution to the community to provide a survey work by consolidating the recent developments with neural methods and thus facilitating further progress toward a more efficient speaker diarization.
Edit intent: fluency
Original:  We propose the Nash-stable set  and analyze the conditions of non-emptiness  . Besides, we deal with the decentralized coalition partition .
Revised:  We propose the Nash-stable set and analyze the conditions of non-emptiness of the Nash-stable set . Besides, we deal with the decentralized coalition partition .
Edit intent: clarity
Original:  We propose the Nash-stable set  and analyze the conditions of non-emptiness  . Besides, we deal with the decentralized coalition partition .
Revised:  We propose the Nash-stable set and analyze the conditions of non-emptiness . Besides, we deal with the decentralized clustering .
Edit intent: clarity
Original:  We formulate the problem as a non-cooperative game and prove the existence of a potential  .
Revised:  We formulate the problem as a non-cooperative game and prove the existence of a potential game .
Edit intent: fluency
Original: Given a string of parentheses, the task is to find a longest consecutive segment that is properly bracketed .
Revised: Given a string of parentheses, the task is to find the longest consecutive segment that is properly bracketed .
Edit intent: fluency
Original:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Revised:  We find this problem interesting because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Edit intent: fluency
Original:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Revised:  We find it an interesting problem because it involves a combination of techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Edit intent: clarity
Original:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Revised:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and a theorem for constructing the inverse of a function -- through which we derived an instance of shift-reduce parsing.
Edit intent: clarity
Original:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derived an instance of shift-reduce parsing.
Revised:  We find it an interesting problem because it involves two techniques: the usual approach for solving segment problems, and the converse-of-a-function theorem -- through which we derive an instance of shift-reduce parsing.
Edit intent: fluency
Original: We examine the pricing of a horizon specific uncertainty network risk, extracted from option implied variances on exchange rates, in the cross-section of currency returns.
Revised: This paper identifies new currency risk stemming from a network of idiosyncratic option-based currency volatilities and shows how such network risk is priced in the cross-section of currency returns.
Edit intent: clarity
Original:  Shock propagation at longer horizons is priced less, indicating a downward-sloping term structure of uncertainty network riskin currency markets .
Revised:  Shock propagation at longer horizons is priced less, indicating a downward-sloping term structure of network risk .
Edit intent: clarity
Original: We present an optimal gradient method for smooth (possibly strongly ) convex optimization.
Revised: We present an optimal gradient method for smooth strongly convex optimization.
Edit intent: clarity
Original:  Finally, we provide a numerical recipe for obtaining the algorithmic parameters of the method , using semidefinite programming, and illustrate that it can be used for developing other methods as well.
Revised:  Finally, we provide a constructive recipe for obtaining the algorithmic parameters of the method , using semidefinite programming, and illustrate that it can be used for developing other methods as well.
Edit intent: clarity