wanyu/IteraTeR_v2 huggingface dataset:
Original:  Notably, METER~ achieves an accuracy of 77.64 %DIFDELCMD < \\%%% %DIF < on the VQAv2 test-std set using only 4M images for pre-training,  surpassing the state-of-the-art region-feature-based VinVL model by + 1.04 %DIFDELCMD < \\%%% %DIF < ,  and outperforming the previous best fully transformer-based ALBEF model by + 1.6 %DIFDELCMD < \\%%% %DIF < .\end{abstract} 
Revised:  Notably, METER~ achieves an accuracy of 77.64 %DIFDELCMD < \\%%% %DIF < on the VQAv2 test-std set using only 4M images for pre-training, surpassing the state-of-the-art region-feature-based VinVL model by + 1.04 %DIFDELCMD < \\%%% %DIF < , \%, and outperforming the previous best fully transformer-based ALBEF model by + 1.6 %DIFDELCMD < \\%%% %DIF < .\end{abstract} 
Edit intent: fluency
Original:  Is this phenomenon, called sensory attenuation, enabled innately, or is it acquired through learning?
Revised:  Is this phenomenon, known as sensory attenuation, enabled innately, or is it acquired through learning?
Edit intent: fluency
Original:   We also found that innate alterations in the modulation of sensory-information flow induced some characteristics analogous to schizophrenia and autism spectrum disorder.
Revised:  We also found that innate alterations in modulation of sensory-information flow induced some characteristics analogous to schizophrenia and autism spectrum disorder.
Edit intent: fluency
Original:  This paper addresses the power allocation and high dimensional constellation design in short-range line-of-sight (LOS) environment, where the communication linksare relatively stable .
Revised:  This paper addresses the power allocation and high dimensional constellation design in short-range line-of-sight (LOS) environment, with stable communication links .
Edit intent: clarity
Original:  For power allocation, we first characterize the performance loss outside the OAM beam regions , where we only use plane waves, and figure out that the loss is always small.
Revised:  For power allocation, we first characterize the performance loss outside the OAM beam regions with only plane waves, and figure out that the loss is always small.
Edit intent: clarity
Original:  Combining with numerical results, we illustrate that a few patterns can be adopted for all receiver locations in the map.
Revised:  Based on numerical results, we illustrate that a few patterns can be adopted for all receiver locations in the map.
Edit intent: clarity
Original:  We also investigate the high dimensional constellation design  and prove that  the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Revised:  We also investigate high dimensional constellation design and prove that the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Edit intent: fluency
Original:  We also investigate the high dimensional constellation design  and prove that  the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Revised:  We also investigate the high dimensional constellation design , and prove that the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Edit intent: fluency
Original:  We also investigate the high dimensional constellation design  and prove that  the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Revised:  We also investigate the high dimensional constellation design and prove that a fixed constellation can be adopted for the positions where the channel matrices are sufficiently close to be proportional can employ a fixed constellation.
Edit intent: clarity
Original:  We propose a map-assisted method to replace online estimation, feedback and computation with the look-up table searching .
Revised:  We propose a map-assisted method to reduce transmission delay and online computing overhead .
Edit intent: clarity
Original:  We explore the possibility of using a few patterns in the maps, and investigate the performance lossof using the optimal solution of one position for other positions .
Revised:  We explore the possibility of using a few patterns in the maps, and investigate its performance loss .
Edit intent: clarity
Original:  This paper presents an integrated system that performs holistic image segmentation , object detection, instance segmentation, depth estimation, and object instance 3D reconstruction for indoor and outdoor scenes from a single RGB image.
Revised:  This paper presents an integrated system that performs holistic image segmentation , object detection, instance segmentation, depth estimation, 3D reconstruction for indoor and outdoor scenes from a single RGB image.
Edit intent: coherence
Original:  It can be applied to various applications, including autonomous driving, mapping, robotics, design, computer graphics, robotics, human-computer interaction, and augmented reality.
Revised:  It can be applied to a variety of applications, including autonomous driving, mapping, robotics, design, computer graphics, robotics, human-computer interaction, and augmented reality.
Edit intent: clarity
Original:  To model this decision, we use the Brazilian Air Force's Aerospace Simulation Environment ( Ambiente de Simula\c{c\~ao Aeroespacial - ASA\~ao Aeroespacial - ASA } in Portuguese), which generated 3,729 constructive simulations lasting 12 minutes each and a total of 10,316 engagements.
Revised:  To model this decision, we use the Brazilian Air Force's Aerospace Simulation Environment ( Ambiente de Simula\c{c\~ao Aeroespacial - ASA } in Portuguese), which generated 3,729 constructive simulations lasting 12 minutes each and a total of 10,316 engagements.
Edit intent: fluency
Original: Massive machine type communication (mMTC) hasattracted new coding schemes optimized for reliable short mes-sage transmission.
Revised: Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short mes-sage transmission.
Edit intent: fluency
Original: Massive machine type communication (mMTC) hasattracted new coding schemes optimized for reliable short mes-sage transmission.
Revised: Massive machine type communication (mMTC) hasattracted new coding schemes optimized for reliable short message transmission.
Edit intent: fluency
Original:  In this paper, a novel deep learning basednear-orthogonal superposition (NOS) coding scheme is proposedfor reliable transmission of short messages in the additive whiteGaussian noise (AWGN) channel for mMTC applications.
Revised:  In this paper, a novel deep learning based near-orthogonal superposition (NOS) coding scheme is proposedfor reliable transmission of short messages in the additive whiteGaussian noise (AWGN) channel for mMTC applications.
Edit intent: fluency
Original:  In this paper, a novel deep learning basednear-orthogonal superposition (NOS) coding scheme is proposedfor reliable transmission of short messages in the additive whiteGaussian noise (AWGN) channel for mMTC applications.
Revised:  In this paper, a novel deep learning basednear-orthogonal superposition (NOS) coding scheme is proposed for reliable transmission of short messages in the additive whiteGaussian noise (AWGN) channel for mMTC applications.
Edit intent: fluency
Original:  In this paper, a novel deep learning basednear-orthogonal superposition (NOS) coding scheme is proposedfor reliable transmission of short messages in the additive whiteGaussian noise (AWGN) channel for mMTC applications.
Revised:  In this paper, a novel deep learning basednear-orthogonal superposition (NOS) coding scheme is proposedfor reliable transmission of short messages in the additive white Gaussian noise (AWGN) channel for mMTC applications.
Edit intent: fluency
Original:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Revised:  Similar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Edit intent: fluency
Original:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Revised:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOS encoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Edit intent: fluency
Original:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Revised:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonal high dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Edit intent: fluency
Original:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into asingle vector for transmission.
Revised:  Sim-ilar to recent hyper-dimensional modulation (HDM), the NOSencoder spreads the information bits to multiple near-orthogonalhigh dimensional vectors to be combined (superimposed) into a single vector for transmission.
Edit intent: fluency
Original:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Revised:  The NOS decoder first estimates the information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Edit intent: fluency
Original:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Revised:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancy check (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Edit intent: fluency
Original:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Revised:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assisted K-best tree-search algorithm to furtherreduce the packet error rate.
Edit intent: fluency
Original:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to furtherreduce the packet error rate.
Revised:  The NOS decoder first estimatesthe information vectors and then performs a cyclic redundancycheck (CRC) -assistedK-best tree-search algorithm to further reduce the packet error rate.
Edit intent: fluency
Original:  The proposed NOS encoder anddecoder are deep neural networks (DNNs) jointly trained asan auto-encoder and decoder pair to learn a new NOS codingscheme with near-orthogonal codewords.
Revised:  The proposed NOS encoder and decoder are deep neural networks (DNNs) jointly trained asan auto-encoder and decoder pair to learn a new NOS codingscheme with near-orthogonal codewords.
Edit intent: fluency
Original:  The proposed NOS encoder anddecoder are deep neural networks (DNNs) jointly trained asan auto-encoder and decoder pair to learn a new NOS codingscheme with near-orthogonal codewords.
Revised:  The proposed NOS encoder anddecoder are deep neural networks (DNNs) jointly trained as an auto encoder and decoder pair to learn a new NOS codingscheme with near-orthogonal codewords.
Edit intent: fluency
Original:  The proposed NOS encoder anddecoder are deep neural networks (DNNs) jointly trained asan auto-encoder and decoder pair to learn a new NOS codingscheme with near-orthogonal codewords.
Revised:  The proposed NOS encoder anddecoder are deep neural networks (DNNs) jointly trained asan auto-encoder and decoder pair to learn a new NOS coding scheme with near-orthogonal codewords.
Edit intent: fluency
Original:  Simulation results showthe proposed deep learning-based NOS scheme outperformsHDM and Polar code with CRC-aided list decoding for short(32-bit) message transmission.
Revised:  Simulation results show the proposed deep learning-based NOS scheme outperformsHDM and Polar code with CRC-aided list decoding for short(32-bit) message transmission.
Edit intent: fluency
Original:  Simulation results showthe proposed deep learning-based NOS scheme outperformsHDM and Polar code with CRC-aided list decoding for short(32-bit) message transmission.
Revised:  Simulation results showthe proposed deep learning-based NOS scheme outperforms HDM and Polar code with CRC-aided list decoding for short(32-bit) message transmission.
Edit intent: fluency
Original: An integral extension of state-feedback controllers for linear time varying plants is proposed, which preserves performance of the nominal controller in the unperturbed case.
Revised: An integral extension of state-feedback controllers for linear time-varying plants is proposed, which preserves performance of the nominal controller in the unperturbed case.
Edit intent: fluency
Original:  Similar to time-invariant state feedback with integral action, the controller achieves complete rejection of disturbances , whose effective action on the plant is constant with respect to the control input.
Revised:  Similar to time-invariant state feedback with integral action, the controller achieves complete rejection of disturbances whose effective action on the plant is constant with respect to the control input.
Edit intent: fluency
Original:  A modification for preventing controller windup and tuning guidelines are discussed , and the efficacy of the proposed technique is demonstrated by means of simulation examples .
Revised:  A modification for preventing controller windup as well as tuning guidelines are discussed , and the efficacy of the proposed technique is demonstrated by means of simulation examples .
Edit intent: clarity
Original:  A modification for preventing controller windup and tuning guidelines are discussed , and the efficacy of the proposed technique is demonstrated by means of simulation examples .
Revised:  A modification for preventing controller windup and tuning guidelines are discussed . The efficacy of the proposed technique is demonstrated by means of simulation examples .
Edit intent: coherence
Original:  We formalize these rewriting systems as homotopy types.
Revised:  We express these rewriting systems as homotopy types.
Edit intent: clarity
Original:  This correspondence to higher categorical structures offers a new way to understand how spaces relevant to physics may result from pregeometric combinatorial models.
Revised:  This correspondence to higher categorical structures offers a new way to understand how spaces relevant to physics may arise from pregeometric combinatorial models.
Edit intent: clarity
Original:  The key issue we have addressed here is to formally relate abstract non-deterministic rewriting systems to higher homotopy spaces.
Revised:  A key issue we have addressed here is to formally relate abstract non-deterministic rewriting systems to higher homotopy spaces.
Edit intent: fluency
Original:  The key issue we have addressed here is to formally relate abstract non-deterministic rewriting systems to higher homotopy spaces.
Revised:  The key issue we have addressed here is to relate abstract non-deterministic rewriting systems to higher homotopy spaces.
Edit intent: clarity
Original:  A consequence of constructing spaces and geometry synthetically is that it removes ad hoc assumptions about geometric attributes of a model such as an a priori background or pre-assigned geometric data.
Revised:  A consequence of constructing spaces and geometry synthetically is that it eliminates ad hoc assumptions about geometric attributes of a model such as an a priori background or pre-assigned geometric data.
Edit intent: fluency
Original:  This is relevant for formally justifying different choices of underlying spacetime discretization adopted by various models of quantum gravity.
Revised:  This is relevant for formally justifying different choices of underlying spacetime discretization adopted by models of quantum gravity.
Edit intent: clarity
Original:  Finally, we end with comments on how the framework of higher category-theoretic combinatorial constructions developed here , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Revised:  We conclude with comments on how the framework of higher category-theoretic combinatorial constructions developed here , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Edit intent: coherence
Original:  Finally, we end with comments on how the framework of higher category-theoretic combinatorial constructions developed here , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Revised:  Finally, we end with comments on how our framework of higher category-theoretic combinatorial constructions developed here , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Edit intent: fluency
Original:  Finally, we end with comments on how the framework of higher category-theoretic combinatorial constructions developed here , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Revised:  Finally, we end with comments on how the framework of higher category-theoretic combinatorial constructions , corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.
Edit intent: clarity
Original:  In this paper, we focus on modeling users' spatio-temporal mobility patterns based on knowledge graph techniques, and predicting users' future movement based on the `` knowledge'' extracted from multiple sources in a cohesive manner.
Revised:  In this paper, we focus on modeling users' spatio-temporal mobility patterns based on knowledge graph techniques, and predicting users' future movement based on the " knowledge'' extracted from multiple sources in a cohesive manner.
Edit intent: fluency
Original:  Our method outperforms state-of-the-art methods that combine image-to-image translation and semi-supervised learning on relevant domain adaption benchmarks, i.e., on GTA5 to Cityscapes and SYNTHIA to Cityscapes.
Revised:  Our method outperforms state-of-the-art methods that combine image-to-image translation and semi-supervised learning on relevant domain adaptation benchmarks, i.e., on GTA5 to Cityscapes and SYNTHIA to Cityscapes.
Edit intent: fluency
Original: We investigate exact learning of formulas in finite-variable logics over positively- and negatively-labeled finite structures .
Revised: We investigate exact learning of formulas and terms in finite variable logics .
Edit intent: clarity
Original:  We also study variants of the learning problem for learning queries and terms, and we provide algorithms for realizability and synthesis  along with upper and lower bounds.
Revised:  We also study variants of the learning problem for learning queries and terms, and we provide algorithms for realizability and synthesis of such formulas along with upper and lower bounds.
Edit intent: clarity
Original:  We study the problem also along the dimension of logics, establishing positive results for first-order logic with least fixed points and several other logics .
Revised:  We also establish positive results using our technique for other logics and variants of the learning problem, including first-order logic with least fixed points and several other logics .
Edit intent: clarity
Original:  However, with the spirit of full transparency, many public blockchains expose all types of data to the public such as Ethereum , a leading public blockchain platform .
Revised:  However, with the spirit of full transparency, many public blockchains expose all types of data to the public such as Ethereum .
Edit intent: clarity
Original:  In this paper, we propose Sunspot, a decentralized framework for privacy-preserving data sharing with an access control mechanism , to solve these issues.
Revised:  In this paper, we propose Sunspot, a decentralized framework for privacy-preserving data sharing with access control on transparent public blockchains , to solve these issues.
Edit intent: clarity
Original:  issues arise from the data curation process to the models' deployment.
Revised:  issues arise during the data preparation process throughout the steps leading to the models' deployment.
Edit intent: clarity
Original:  The continued use of biased datasets and processes will adversely damage communities and increase the cost to fix the problem .
Revised:  The continued use of biased datasets and processes will adversely damage communities and increase the cost of fixing the problem later .
Edit intent: clarity
Original:  In this work, we walk through the decision process that a researcher will need to make before, during, and after their project to consider the broader impacts of research and the community.
Revised:  In this work, we walk through the decision-making process that a researcher will need to make before, during, and after their project to consider the broader impacts of research and the community.
Edit intent: fluency
Original:  In this work, we walk through the decision process that a researcher will need to make before, during, and after their project to consider the broader impacts of research and the community.
Revised:  In this work, we walk through the decision process that a researcher should consider before, during, and after their project to consider the broader impacts of research and the community.
Edit intent: clarity
Original:  In this work, we walk through the decision process that a researcher will need to make before, during, and after their project to consider the broader impacts of research and the community.
Revised:  In this work, we walk through the decision process that a researcher will need to make before, during, and after their project to consider the broader impacts of their research in the community.
Edit intent: coherence
Original:  Throughout this paper, we observe the critical decisions that are often overlooked when deploying AI, argue for the use of fairnessforensics to discover bias and fairness issues in systems, assert the need for a responsible human-over-the-loop  to bring accountability into the deployed system , and finally, reflect on the need to explore research agendas that have harmful societal impacts.
Revised:  Throughout this paper, we discuss fairness, privacy, and ownership issues in the machine learning pipeline; we assert the need for a responsible human-over-the-loop to bring accountability into the deployed system , and finally, reflect on the need to explore research agendas that have harmful societal impacts.
Edit intent: clarity