wanyu/IteraTeR_v2 huggingface dataset:
Original:  Unlike typical topic models, this approach works without knowing the true number of topics  . Experimental results on the real-life multimodal data set MuSe-CaR demonstrates that our approach  extracts coherent and meaningful topics , outperforming baseline methods.
Revised:  Unlike typical topic models, this approach works without knowing the true number of topics . Experimental results on the real-life multimodal data set MuSe-CaR demonstrates that our approach extracts coherent and meaningful topics and outperforms baseline methods.
Edit intent: coherence
Original:  Furthermore, we successfully demonstrate the generalisability of our approach on a pure text review data set .
Revised:  Furthermore, we successfully demonstrate the applicability of our approach on a pure text review data set .
Edit intent: clarity
Original: We propose a novel robotic system that can improve its semantic perception during deployment.
Revised: We propose a novel robotic system that can improve its perception during deployment.
Edit intent: clarity
Original:  Our experiments show how the robot's semantic perception improves during deployment and how this translates into improved 3D localisationby filtering the clutter out of the LiDAR scan , even across drastically different environments.
Revised:  Our experiments show how the robot's semantic perception improves during deployment and how this translates into improved localisation , even across drastically different environments.
Edit intent: clarity
Original:  On average, our system improves by 60\% in segmentation and 10\% in localisation  compared to deployment of a fixed model, and it keeps this improvement up while adapting to further environments.
Revised:  On average, our system improves by 60\% in segmentation and 10\% in localisation accuracy compared to deployment of a fixed model, and it keeps this improvement up while adapting to further environments.
Edit intent: clarity
Original:  On average, our system improves by 60\% in segmentation and 10\% in localisation  compared to deployment of a fixed model, and it keeps this improvement up while adapting to further environments.
Revised:  On average, our system improves by 60\% in segmentation and 10\% in localisation compared to deployment of a fixed model, and it maintains this improvement while adapting to further environments.
Edit intent: clarity
Original:  For example, no mainstream language supports relational refinement types, and although Rust and modern versions of Haskell both employ some linear typing techniques, they are inadequate for embedding enforcement of differential privacy, which requires "full" linear types a la Girard /Reynolds .
Revised:  For example, no mainstream language supports relational refinement types, and although Rust and modern versions of Haskell both employ some linear typing techniques, they are inadequate for embedding enforcement of differential privacy, which requires "full" linear types a la Girard .
Edit intent: coherence
Original:  However, those previous works have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations such as GDPR and the increasing privacy concerns of data owners .
Revised:  However, those studies have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations such as GDPR and the increasing privacy concerns of data owners .
Edit intent: clarity
Original:  However, those previous works have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations such as GDPR and the increasing privacy concerns of data owners .
Revised:  However, those previous works have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations and data owners' increasing privacy concerns of data owners .
Edit intent: clarity
Original:  However, those previous works have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations such as GDPR and the increasing privacy concerns of data owners .
Revised:  However, those previous works have assumed that data buyers can purchase query answers with the arbitrary privacy loss of data owners, which may not be valid under strict privacy regulations such as GDPR and the increasing privacy concerns .
Edit intent: fluency
Original:  In this paper, we study how to empower data owners with the control of privacy loss in regard to data trading.
Revised:  In this paper, we study how to empower data owners to control privacy loss in regard to data trading.
Edit intent: clarity
Original:  In this paper, we study how to empower data owners with the control of privacy loss in regard to data trading.
Revised:  In this paper, we study how to empower data owners with the control of privacy loss in data trading.
Edit intent: coherence
Original:  First, we propose a modularized framework for trading personal data that enables each data owner to bound her personalized privacy loss from data trading .
Revised:  First, we propose a framework for trading personal data that enables each data owner to bound her personalized privacy loss from data trading .
Edit intent: clarity
Original:  First, we propose a modularized framework for trading personal data that enables each data owner to bound her personalized privacy loss from data trading .
Revised:  First, we propose a modularized framework for trading personal data that enables data owners to bound their personalized privacy losses .
Edit intent: clarity
Original:  Third, to avoid arbitrage behaviors , we propose a general method for ensuring arbitrage freeness under personalized differential privacy.
Revised:  Third, to avoid arbitrage , we propose a general method for ensuring arbitrage freeness under personalized differential privacy.
Edit intent: clarity
Original:  Fourth, to make full use of data owners' personalized privacy loss bounds, we propose online privacy budget allocation techniques to dynamically allocate privacy losses for queries under arbitrage freeness  .
Revised:  Fourth, to fully utilize data owners' personalized privacy loss bounds, we propose online privacy budget allocation techniques to dynamically allocate privacy losses for queries under arbitrage freeness .
Edit intent: coherence
Original:  Fourth, to make full use of data owners' personalized privacy loss bounds, we propose online privacy budget allocation techniques to dynamically allocate privacy losses for queries under arbitrage freeness  .
Revised:  Fourth, to make full use of data owners' personalized privacy loss bounds, we propose privacy budget allocation techniques to dynamically allocate privacy losses for queries under arbitrage freeness .
Edit intent: clarity
Original:  Fourth, to make full use of data owners' personalized privacy loss bounds, we propose online privacy budget allocation techniques to dynamically allocate privacy losses for queries under arbitrage freeness  .
Revised:  Fourth, to make full use of data owners' personalized privacy loss bounds, we propose online privacy budget allocation techniques to allocate privacy losses for queries under arbitrage freeness .
Edit intent: clarity
Original:  Details on the numerical implementations and the software library that has been developed for non-local calculus on graphs is described.
Revised:  Details on the numerical implementations and the software library that has been developed for non-local calculus on graphs are described.
Edit intent: fluency
Original:  Natural ordering constraint satisfaction problems include "Maximum acyclic subgraph (MAS)" and "Betweenness".
Revised:  OCSPs capture natural problems including "Maximum acyclic subgraph (MAS)" and "Betweenness".
Edit intent: clarity
Original:  The operator is parametrized using its eigendecomposition , which enables prior information to be incorporated into its formulation.
Revised:  Inference is made tractable by parametrizing the operator using its eigendecomposition , which enables prior information to be incorporated into its formulation.
Edit intent: clarity
Original:  In this short review , we describe network centrality measures based on the notions of network traversal they rely on.
Revised:  In this short entry , we describe network centrality measures based on the notions of network traversal they rely on.
Edit intent: clarity
Original: The increasing availability of video recordings made by multiple cameras has offered new means for mitigating occlusion and depth ambiguities in pose and motion reconstruction methods.
Revised: The increasing availability of video recordings made by multiple cameras has offered new means for mitigatingocclusion and depth ambiguities in pose and motion reconstruction methods.
Edit intent: clarity
Original:  Yet, multi-view algorithms strongly depend on camera parameters , in particular, the relative positions among the  cameras.
Revised:  Yet, multi-view algorithms strongly depend on camera parameters ; particularly, the cameras.
Edit intent: clarity
Original:  Such  dependency becomes a hurdle once shifting to dynamic capture in uncontrolled settings.
Revised:  Such a dependency becomes a hurdle once shifting to dynamic capture in uncontrolled settings.
Edit intent: fluency
Original:  We introduce FLEX (Free muLti-view rEconstruXion), an end-to-end parameter-free multi-view model . FLEX is parameter-free in the sense that it does not require any camera parameters, neither intrinsic nor extrinsic.
Revised:  We introduce FLEX (Free muLti-view rEconstruXion), an end-to-end parameter-free multi-viewmodel . FLEX is parameter-free in the sense that it does not require any camera parameters, neither intrinsic nor extrinsic.
Edit intent: fluency
Original:  Code, trained models, video demonstration, and additional materials will be available on our project page.
Revised:  Code, trained models, video examples, and more material will be available on our project page.
Edit intent: clarity
Original:  The one-step linearization method consists of solving a minimization problem with standard regularization techniques, which is commonly used in practice but builds only a heuristical approach since there is no proven theory of its convergence.
Revised:  The one-step linearization method consists of solving a minimization problem with standard regularization techniques, which do not have a rigorous theory of convergence.
Edit intent: clarity
Original:  Finally, we present numerical experiments .
Revised:  In addition, we compare numerical reconstructions of inclusions based on the monotonicity-based regularization with a standard approach (one-step linearization with Tikhonov-like regularization), which also shows the robustness of our method regarding noise in practice .
Edit intent: coherence
Original:  This is a great advantage and a significant improvement over standard regularization techniques , which do not have a rigorous theory of convergence .
Revised:  This is a great advantage and a significant improvement over standard regularization techniques .
Edit intent: coherence
Original:  In this paper, we investigate a method for stitching a pair of univariate mappers together into a bivariate mapper  and study topological notions of information gains  during such a process.
Revised:  In this paper, we investigate a method for stitching a pair of univariate mappers together into a bivariate mapper , and study topological notions of information gains during such a process.
Edit intent: fluency
Original:  In view of the first bullet , a lower bound on non-adaptive AND decision tree complexity of f does not lift to a lower bound on one-way communication complexity of f \circ AND_2.
Revised:  In view of the first point , a lower bound on non-adaptive AND decision tree complexity of f does not lift to a lower bound on one-way communication complexity of f \circ AND_2.
Edit intent: clarity
Original:  The proof of the first bullet above uses the well-studied Odd-Max-Bit function.
Revised:  The proof of the first point above uses the well-studied Odd-Max-Bit function.
Edit intent: clarity
Original: Energy landscapes exemplify the predictive power of physics . Energy(-like) landscapes can explain biological processes, including some aspects of protein folding and gene expression .
Revised: Energy landscapes exemplify the predictive power of physics . Energy(-like) landscapes can explain some biomolecular processes, including some aspects of protein folding and gene expression .
Edit intent: clarity
Original:  Instead, one predominantly models living systems with differential equations that are tailored to each system.
Revised:  Difficulties stem from living systems being high dimensional, nonlinear, and governed by many, tightly coupled constituents that are noisy. The predominant modeling approach is devising differential equations that are tailored to each system.
Edit intent: clarity
Original:  Unfortunately, this approach faces the  "parameter problem": just a few biological processes can involve countless types of nonlinear, mathematical functions and unknown parameter values .
Revised:  Unfortunately, this approach faces the notorious "parameter problem": just a few biological processes can involve countless types of nonlinear, mathematical functions and unknown parameter values .
Edit intent: clarity
Original:  Unfortunately, this approach faces the  "parameter problem": just a few biological processes can involve countless types of nonlinear, mathematical functions and unknown parameter values .
Revised:  Unfortunately, this approach faces the "parameter problem": models have numerous nonlinear, mathematical functions and unknown parameter values .
Edit intent: clarity
Original:  Unfortunately, this approach faces the  "parameter problem": just a few biological processes can involve countless types of nonlinear, mathematical functions and unknown parameter values .
Revised:  Unfortunately, this approach faces the "parameter problem": just a few biological processes can involve countless types of nonlinear, mathematical functions with unknown parameter values .
Edit intent: fluency
Original:  As a complementary approach, one can view living systems as discrete dynamical systems governed by binary variables.
Revised:  As a complementary approach, one can view living systems as discrete dynamical systems with binary variables.
Edit intent: clarity
Original:  While quantitative (Hamiltonian-based) rules can dictate cellular automata (e.g., Cellular Potts Model) , numerous features of cells are more naturally summarized verbally than quantitatively (e.g., gene is (highly) expressed or not (highly) expressed).
Revised:  While quantitative (Hamiltonian-based) rules can dictate cellular automata (e.g., Cellular Potts Model) . But numerous biological features, in current practice, are qualitatively described rather than quantitatively (e.g., gene is (highly) expressed or not (highly) expressed).
Edit intent: clarity
Original:  Cellular automata with verbal rules are underexplored in biology.
Revised:  Cellular automata governed by verbal rules are underexplored in biology.
Edit intent: clarity
Original:  They are usually difficult to understand because they produce complex , multi-agent dynamics that are - by design - difficult to quantify and because much of the mathematical tools (e.g., calculus) apply to continuous but not discrete dynamics.
Revised:  They are usually difficult to understand because they produce complex , multi-agent dynamics that are difficult to understand because much of the mathematical tools (e.g., calculus) apply to continuous but not discrete dynamics.
Edit intent: coherence
Original:  They are usually difficult to understand because they produce complex , multi-agent dynamics that are - by design - difficult to quantify and because much of the mathematical tools (e.g., calculus) apply to continuous but not discrete dynamics.
Revised:  They are usually difficult to understand because they produce complex , multi-agent dynamics that are - by design - difficult to quantify and because much of the existing mathematical tools and theorems apply to continuous but not discrete dynamics.
Edit intent: clarity
Original:  Promisingly, recent studies revealed that there can be unconventional, predictive landscapes - based on Lyapunov functions - that give an " equation of motion " that reveals all possible dynamics of a biologically motivated cellular automaton.
Revised:  Promisingly, recent studies revealed that there can be unconventional, predictive landscapes - based on Lyapunov functions - that give an " landscape " that reveals all possible dynamics of a biologically motivated cellular automaton.
Edit intent: clarity
Original:  In this work  we leverage the ability of stereo cameras to provide both visual and depth information, guiding the search and validation of loop closures from a multi-modal perspective.
Revised:  In this work , we leverage the ability of stereo cameras to provide both visual and depth information, guiding the search and validation of loop closures from a multi-modal perspective.
Edit intent: fluency
Original:  Point clouds matches are found by comparing CSHOT descriptors and validated by clustering  while visual matches are established by comparing keyframes using Bag-of-Words (BoW) and ORB descriptors.
Revised:  Point clouds matches are found by comparing CSHOT descriptors and validated by clustering , while visual matches are established by comparing keyframes using Bag-of-Words (BoW) and ORB descriptors.
Edit intent: fluency
Original:  These environments consist of areas where either keyframes or point clouds alone fail to provide adequate matches , thus demonstrating the benefit of the proposed multi-modal approach.
Revised:  These environments consist of areas where either keyframes or point clouds alone failed to provide adequate matches , thus demonstrating the benefit of the proposed multi-modal approach.
Edit intent: fluency
Original:  These environments consist of areas where either keyframes or point clouds alone fail to provide adequate matches , thus demonstrating the benefit of the proposed multi-modal approach.
Revised:  These environments consist of areas where either keyframes or point clouds alone fail to provide adequate matches demonstrating the benefit of the proposed multi-modal approach.
Edit intent: coherence
Original:  In this paper, we construct a kind of auxiliary schemes for their discrete systems based on Hodge Laplacian on de Rahm complex.
Revised:  In this paper, we construct a kind of auxiliary schemes for their discrete systems based on Hodge Laplacian on de Rham complex.
Edit intent: fluency
Original:  Specifically , we consider  scattering in two dimensions by a sound-hard, high aspect ratio ellipse  .
Revised:  Specifically , we consider the scattering in two dimensions by a sound-hard, high aspect ratio ellipse .
Edit intent: fluency
Original:  A central tool to understand their effect on metabolic networks is sensitivity analysis, which investigates how the network responds to external perturbations.
Revised:  A central tool to understand and control their influence on metabolic networks is sensitivity analysis, which investigates how the network responds to external perturbations.
Edit intent: clarity
Original:  We follow here a structural approach: the analysis is based on the network stoichiometry , only , and thus it is purely qualitative and does not require any quantitative knowledge of the reaction rates.
Revised:  We follow here a structural approach: the analysis is based on the network stoichiometry only and it does not require any quantitative knowledge of the reaction rates.
Edit intent: coherence
Original:  In particular, for general metabolic systems, this paper focuses for the first time on the sign of such responses, i.e. whether a response is positive, negative or whether its sign depends on the parameters of the system.
Revised:  In particular, for general metabolic systems, this paper focuses on the sign of such responses, i.e. whether a response is positive, negative or whether its sign depends on the parameters of the system.
Edit intent: clarity
Original:  In particular, for general metabolic systems, this paper focuses for the first time on the sign of such responses, i.e. whether a response is positive, negative or whether its sign depends on the parameters of the system.
Revised:  In particular, for general metabolic systems, this paper focuses for the first time on the sign of the responses, i.e. whether a response is positive, negative or whether its sign depends on the parameters of the system.
Edit intent: clarity
Original:  We identify and describe certain kernel vectors of the stoichiometric matrix, which are the main players in the sign description  .
Revised:  In particular, we identify and describe certain kernel vectors of the stoichiometric matrix, which are the main players in the sign description .
Edit intent: coherence
Original:  The results show that with fairly small training data sets , the proposed approach can be utilized to approximate the modelling errors, and to significantly improve the image reconstruction quality in ultrasound tomography, compared to commonly used inversion algorithms.
Revised:  The results show that with fairly small training datasets , the proposed approach can be utilized to approximate the modelling errors, and to significantly improve the image reconstruction quality in ultrasound tomography, compared to commonly used inversion algorithms.
Edit intent: clarity
Original:  Large pre-trained language models, by contrast, are capable of directly generating prose that may be responsive to an information need, but at present they are dilettantes rather than experts - they do not have a true understanding of the world, they are prone to hallucinating, and crucially they are incapable of justifying their utterances by referring to supporting documents in the corpus they were trained over.
Revised:  Pre-trained language models, by contrast, are capable of directly generating prose that may be responsive to an information need, but at present they are dilettantes rather than experts - they do not have a true understanding of the world, they are prone to hallucinating, and crucially they are incapable of justifying their utterances by referring to supporting documents in the corpus they were trained over.
Edit intent: clarity
Original:  Large pre-trained language models, by contrast, are capable of directly generating prose that may be responsive to an information need, but at present they are dilettantes rather than experts - they do not have a true understanding of the world, they are prone to hallucinating, and crucially they are incapable of justifying their utterances by referring to supporting documents in the corpus they were trained over.
Revised:  Large pre-trained language models, by contrast, are capable of directly generating prose that may be responsive to an information need, but at present they are dilettantes rather than domain experts -- they do not have a true understanding of the world, they are prone to hallucinating, and crucially they are incapable of justifying their utterances by referring to supporting documents in the corpus they were trained over.
Edit intent: clarity
Original:  This paper examines how ideas from classical information retrieval and large pre-trained language models can be synthesized and evolved into systems that truly deliver on the promise of  expert advice.
Revised:  This paper examines how ideas from classical information retrieval and pre-trained language models can be synthesized and evolved into systems that truly deliver on the promise of expert advice.
Edit intent: clarity