wanyu/IteraTeR_v2 huggingface dataset:
Original:  Second, we show that spiking the replay buffer with  a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Revised:  Second, we show that spiking the replay buffer with experiences from a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Edit intent: clarity
Original:  Second, we show that spiking the replay buffer with  a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Revised:  Second, we show that spiking the replay buffer with a small number of successful episodes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Edit intent: clarity
Original:  Second, we show that spiking the replay buffer with  a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Revised:  Second, we show that spiking the replay buffer with a small number of successes , as are easy to harvest for dialogue tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Edit intent: fluency
Original:  Second, we show that spiking the replay buffer with  a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail catastrophically .
Revised:  Second, we show that spiking the replay buffer with a small number of successes , as are easy to harvest for dialog tasks, can make Q-learning feasible when it might otherwise fail .
Edit intent: clarity
Original:  First, we introduce an exploration technique based on Thompson sampling, drawing Monte Carlo samples from a Bayes-by-backprop neural network, demonstrating marked improvement over common approaches such as \epsilon-greedy and Boltzmann exploration.
Revised:  Our agents explore via Thompson sampling, drawing Monte Carlo samples from a Bayes-by-backprop neural network, demonstrating marked improvement over common approaches such as \epsilon-greedy and Boltzmann exploration.
Edit intent: clarity
Original:  First, we introduce an exploration technique based on Thompson sampling, drawing Monte Carlo samples from a Bayes-by-backprop neural network, demonstrating marked improvement over common approaches such as \epsilon-greedy and Boltzmann exploration.
Revised:  First, we introduce an exploration technique based on Thompson sampling, drawing Monte Carlo samples from a Bayes-by-Backprop neural network. Our algorithm learns much faster than common exploration strategies such as \epsilon-greedy and Boltzmann exploration.
Edit intent: clarity
Original:  Second , we show that spiking the replay buffer with experiences from a small number of successful episodes , as are easy to harvest for dialogue tasks, can make Q-learning feasible when it might otherwise fail.
Revised:  Second , we show that spiking the replay buffer with experiences from just a few successful episodes can make Q-learning feasible when it might otherwise fail.
Edit intent: clarity
Original:  Our algorithm learns much faster than common exploration strategies such as \epsilon-greedy, Boltzmann exploration, and bootstrapping-based approaches .
Revised:  Our algorithm learns much faster than common exploration strategies such as \epsilon-greedy, Boltzmann , bootstrapping, and intrinsic-reward-based ones .
Edit intent: clarity
Original:  These approaches solves a geometric constraint problem by an initial, graph-based structural analysis that extracts generic subproblems and determines how they would combine to form a complete solution.
Revised:  These approaches solve a geometric constraint problem by an initial, graph-based structural analysis that extracts generic subproblems and determines how they would combine to form a complete solution.
Edit intent: fluency
Original:  We generate the transformations of the 3D models by algorithmically generating the vertex shaders of the 3D models.
Revised:  We generate the transformations by algorithmically generating the vertex shaders of the 3D models.
Edit intent: fluency
Original:  This paper presents details of requirements specification, software architecture, medium and low-level design, and prototype user interface.
Revised:  This paper presents details of requirements specification, software architecture, high and low-level design, and prototype user interface.
Edit intent: clarity
Original: Horn clauses and first-order resolution are commonly used for the implementation of type classes in Haskell.
Revised: Horn clauses and first-order resolution are commonly used to implement type classes in Haskell.
Edit intent: fluency
Original:  Recently, several core- cursive extensions to type class resolution have  been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Revised:  Several corecursive extensions to type class resolution have been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Edit intent: coherence
Original:  Recently, several core- cursive extensions to type class resolution have  been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Revised:  Recently, several core- cursive extensions to type class resolution have recently been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Edit intent: coherence
Original:  Recently, several core- cursive extensions to type class resolution have  been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Revised:  Recently, several core- cursive extensions to type class resolution have been proposed, with the goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Edit intent: clarity
Original:  Recently, several core- cursive extensions to type class resolution have  been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Revised:  Recently, several core- cursive extensions to type class resolution have been proposed, with the common goal of allowing (co)recursive dictionary construction where resolution does not terminate .
Edit intent: clarity
Original:  Recently, several core- cursive extensions to type class resolution have  been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not terminate .
Revised:  Recently, several core- cursive extensions to type class resolution have been proposed, with the common goal of allowing (co)recursive dictionary construction for those cases when resolution does not termi- nate .
Edit intent: fluency
Original:  This paper shows, for the first time, that corecursive type class resolution and its recent extensions are coinductively sound with respect to the greatest Herbrand models of logic programs and that they are inductively unsound with respect to the least Herbrand models  .
Revised:  This paper shows, for the first time, that corecursive type class resolution and its extensions are coinductively sound with respect to the greatest Herbrand models of logic programs and that they are inductively unsound with respect to the least Herbrand models .
Edit intent: clarity
Original:  This paper shows, for the first time, that corecursive type class resolution and its recent extensions are coinductively sound with respect to the greatest Herbrand models of logic programs and that they are inductively unsound with respect to the least Herbrand models  .
Revised:  This paper shows, for the first time, that corecursive type class resolution and its recent extensions are coinductively sound with respect to the greatest Herbrand models of logic programs and that they are induc- tively unsound with respect to the least Herbrand models .
Edit intent: fluency
Original:  Slepian functions, which arise as the solution of the Slepian concentration problem on the sphere, have desirable properties for applications where measurements are only available within a spatially limited region on the sphere and/or a function is required to be analyzed over the spatially limited region.
Revised:  Slepian functions, which arise as the solution of the Slepian concentration problem on the sphere, have desirable properties for applications where measurements are only avail- able within a spatially limited region on the sphere and/or a function is required to be analyzed over the spatially limited region.
Edit intent: fluency
Original:  By exploiting the efficient computation of Slepian functions for the polar cap region on the sphere, we develop a formulation, supported by a fast algorithm, for the  computation of Slepian functions for an arbitrary spatial region to enable the analysis of modern data-sets that support large band-limits.
Revised:  By exploiting the efficient computation of Slepian functions for the polar cap region on the sphere, we develop a formulation, supported by a fast algorithm, for the computation of Slepian functions for an arbitrary spatial region to enable the analysis of mod- ern data-sets that support large band-limits.
Edit intent: fluency
Original: In this work , we develop a new method for the fast and memory-efficient computation of Slepian functions on the sphere.
Revised: In this paper , we develop a new method for the fast and memory-efficient computation of Slepian functions on the sphere.
Edit intent: clarity
Original:  Slepian functions, which arise as the solution of the Slepian concentration problem on the sphere, have desirable properties for applications where measurements are only avail- able within a spatially limited region on the sphere and/or a function is required to be analyzed over the spatially limited region.
Revised:  Slepian functions, which arise as the solution of the Slepian concentration problem on the sphere, have desirable properties for applications where measurements are only available within a spatially limited region on the sphere and/or a function is required to be analyzed over the spatially limited region.
Edit intent: fluency
Original:  For the special case of a polar cap, the symmetry of the region enables the decomposition of the Slepian concentration problem into smaller sub-problems and consequently the efficient computation of Slepian functions for large band-limits.
Revised:  For the special case of a polar cap, the symmetry of the region enables the decomposition of the Slepian concentration problem into smaller subproblems and consequently the efficient computation of Slepian functions for large band-limits.
Edit intent: fluency
Original:  By exploiting the efficient computation of Slepian functions for the polar cap region on the sphere, we develop a formulation, supported by a fast algorithm, for the approximate computation of Slepian functions for an arbitrary spatial region to enable the analysis of mod- ern data-sets that support large band-limits.
Revised:  By exploiting the efficient computation of Slepian functions for the polar cap region on the sphere, we develop a formulation, supported by a fast algorithm, for the approximate computation of Slepian functions for an arbitrary spatial region to enable the analysis of modern datasets that support large band-limits.
Edit intent: clarity
Original:  For the proposed algorithm, we carry out accuracy analysis of the approximation, computational complexity analysis  and review of memory storage requirements.
Revised:  For the proposed algorithm, we carry out accuracy analysis of the approximation, computational complexity analysis , and review of memory storage requirements.
Edit intent: fluency
Original:  This loss has been quantified using many methods, one of which has always been deemed exactdue to its rigorous communication-theoretical foundations.
Edit intent: coherence
Original:  Here we resolve this paradox and prove that, under certain conditions, observing \Delta I^{DL} }{  implies that \Delta I^{DL} is flawed.
Revised:  Here we resolve this paradox and prove that, under certain conditions, observing \Delta I^{DL} }{> implies that \Delta I^{DL} is flawed.
Edit intent: coherence
Original: We present InVerDa, a tool for end-to-end support of co-existing schema versions within one database.
Revised: We introduce end-to-end support of co-existing schema versions within one database.
Edit intent: clarity
Original:  While it is state of the art to run multiple versions of a continuously developed application concurrently, the same is hard for databases.
Revised:  While it is state of the art to run multiple versions of a continuously developed application concurrently, it is hard to do the same for databases.
Edit intent: clarity
Original:  In order to keep multiple co-existing schema versions alive , that all access the same data set , developers usually employ handwritten delta code (e.g. views and triggers in SQL).
Revised:  In order to keep multiple co-existing schema versions alive ; which are all accessing the same data set , developers usually employ handwritten delta code (e.g. views and triggers in SQL).
Edit intent: clarity
Original:  In order to keep multiple co-existing schema versions alive , that all access the same data set , developers usually employ handwritten delta code (e.g. views and triggers in SQL).
Revised:  In order to keep multiple co-existing schema versions alive , that all access the same data set ; developers usually employ handwritten delta code (e.g. views and triggers in SQL).
Edit intent: fluency
Original:  With InVerDa, developers use a simple bidirectional database evolution language in the first place that carries enough information to generate all the delta code automatically.
Revised:  In this paper, we present InVerDa: developers use the simple bidirectional database evolution language in the first place that carries enough information to generate all the delta code automatically.
Edit intent: clarity
Original:  With InVerDa, developers use a simple bidirectional database evolution language in the first place that carries enough information to generate all the delta code automatically.
Revised:  With InVerDa, developers use a simple bidirectional database evolution language in the first place that carries enough information to generate all delta code automatically.
Edit intent: fluency
Original:  InVerDa also allows for easily changing the physical table designs without affecting the availability of co-existing schema versions.
Revised:  InVerDa also allows for easily changing the physical table design without affecting the availability of co-existing schema versions.
Edit intent: fluency
Original: This short paper uses the recently presented idea that the fundamental haploid-diploid lifecycle of all eukaryote organisms exploits a rudimentary form of the Baldwin effect.
Revised: This paper uses the recently presented idea that the fundamental haploid-diploid lifecycle of all eukaryote organisms exploits a rudimentary form of the Baldwin effect.
Edit intent: clarity
Original: This short paper uses the recently presented idea that the fundamental haploid-diploid lifecycle of all eukaryote organisms exploits a rudimentary form of the Baldwin effect.
Revised: This short paper uses the recent idea that the fundamental haploid-diploid lifecycle of all eukaryote organisms exploits a rudimentary form of the Baldwin effect.
Edit intent: clarity
Original: This short paper uses the recently presented idea that the fundamental haploid-diploid lifecycle of all eukaryote organisms exploits a rudimentary form of the Baldwin effect.
Revised: This short paper uses the recently presented idea that the fundamental haploid-diploid lifecycle of eukaryotic organisms implements a rudimentary form of the Baldwin effect.
Edit intent: clarity
Original:  Using the NK model of fitness landscapes and the RBNK model of gene regulatory networks it is here shown that varying  landscape ruggedness varies the benefit of a haploid-diploid approach in comparison to the traditional haploid representation in both cases .
Revised:  Using the NK model of fitness landscapes and the RBNK model of gene regulatory networks it is here shown that varying fitness landscape ruggedness varies the benefit of a haploid-diploid approach in comparison to the traditional haploid representation in both cases .
Edit intent: fluency
Original:  Using the NK model of fitness landscapes and the RBNK model of gene regulatory networks it is here shown that varying  landscape ruggedness varies the benefit of a haploid-diploid approach in comparison to the traditional haploid representation in both cases .
Revised:  Using the NK model of fitness landscapes and the RBNK model of gene regulatory networks it is here shown that varying landscape ruggedness varies the benefit of the new approach .
Edit intent: clarity
Original: Mathematical models in the sciences often require the estimation of unknown parameter values from data.
Revised: The use of mathematical models in the sciences often require the estimation of unknown parameter values from data.
Edit intent: clarity
Original: Mathematical models in the sciences often require the estimation of unknown parameter values from data.
Revised: Mathematical models in the sciences often requires the estimation of unknown parameter values from data.
Edit intent: fluency
Original:  We develop the precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold'  in relation to concept of structural identifiability.
Revised:  In this paper, we develop a precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' in relation to concept of structural identifiability.
Edit intent: clarity
Original:  We develop the precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold'  in relation to concept of structural identifiability.
Revised:  We develop the precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' , in relation to concept of structural identifiability.
Edit intent: fluency
Original:  We develop the precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold'  in relation to concept of structural identifiability.
Revised:  We develop the precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' in relation to concepts of structural identifiability.
Edit intent: fluency
Original:  We generalize sloppiness and define it in terms of the premetric on parameter space induced by measurement noise . Applications include parametric statistical models, explicit time dependent models, and ordinary differential equation models with time series data .
Revised:  We generalize sloppiness and define it in terms of the premetric on parameter space induced by measurement noise . Applications include parametric statistical models, explicit time dependent models, and ordinary differential equation models .
Edit intent: clarity
Original: The use of mathematical models in the sciences often requires the estimation of unknown parameter values from data.
Revised: The use of mathematical models in the sciences often involves the estimation of unknown parameter values from data.
Edit intent: clarity
Original:  Concise makes use of minimal perfect hashing and relies on the SDN framework and supports fast name classification .
Revised:  Concise makes use of minimal perfect hashing and relies on the programmable network framework to support dynamic updates .
Edit intent: clarity
Original:  Experimental results show that Concise uses significantly smaller memory to achieve  faster query speed compared to existing FIBs for flat name switching .
Revised:  Experimental results show that Concise uses significantly smaller memory to achieve much faster query speed compared to existing FIBs for flat name switching .
Edit intent: clarity
Original:  Experimental results show that Concise uses significantly smaller memory to achieve  faster query speed compared to existing FIBs for flat name switching .
Revised:  Experimental results show that Concise uses significantly smaller memory to achieve faster query speed compared to existing solutions of network name lookups .
Edit intent: clarity
Original:  A specific feature of the result is that its minimum cost extension is already %DIFDELCMD < {\bf %%% NP -complete .
Revised:  A specific feature of the result is that its minimum cost extension is already %DIFDELCMD < {\bf %%% -complete .
Edit intent: fluency
Original:  A specific feature of the result is that its minimum cost extension is already %DIFDELCMD < {\bf %%% NP -complete .
Revised:  A specific feature of the result is that its minimum cost extension is already %DIFDELCMD < {\bf %%% NP NP-complete .
Edit intent: fluency
Original:  A number of decentralized algorithms have been proposed for convex consensus optimization.
Revised:  A number of decentralized algorithms have been proposed for convex consensus optimization.
Edit intent: fluency
Original:  However, on nonconvex consensus optimization  , our understanding to the behavior of these algorithms is limited.
Revised:  However, on consensus optimization , our understanding to the behavior of these algorithms is limited.
Edit intent: clarity
Original:  However, on consensus optimization with nonconvex objective functions , our understanding to the behavior of these algorithms is limited.
Revised:  However, to the behaviors or consensus nonconvex objective functions , our understanding to the behavior of these algorithms is limited.
Edit intent: clarity
Original:  However, on consensus optimization with nonconvex objective functions , our understanding to the behavior of these algorithms is limited.
Revised:  However, on consensus optimization with nonconvex optimization , our understanding to the behavior of these algorithms is limited.
Edit intent: clarity
Original:  However, on consensus optimization with nonconvex objective functions , our understanding to the behavior of these algorithms is limited.
Revised:  However, on consensus optimization with nonconvex objective functions , our understanding is more limited.
Edit intent: clarity
Original:  When we lose convexity, we cannot hope for obtaining globally optimal solutions (though we still do sometimes ) . Somewhat surprisingly, we retain most other properties from the convex setting for the decentralized consensus algorithms  DGD and Prox-DGD, such as convergence to a (  neighborhood of) consensus stationary solution and the rates of convergence when diminishing (constant) step sizes are used .
Revised:  When we lose convexity, we cannot hope our algorithms always return global solutions though they sometimes still do sometimes ) . Somewhat surprisingly, we retain most other properties from the convex setting for the decentralized consensus algorithms DGD and Prox-DGD, such as convergence to a ( neighborhood of) consensus stationary solution and the rates of convergence when diminishing (constant) step sizes are used .
Edit intent: clarity