prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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the general data protection regulation gdpr are cross-referential and normative while runtime contexts are expressed in | unstructured | natural language | the general data protection regulation gdpr are cross-referential and normative while runtime contexts are expressed in unstructured natural language |
effective hamiltonians are powerful tools for understanding the emergent | phenomena | quantum materials | effective hamiltonians are powerful tools for understanding the emergent phenomena in condensed matter systems |
among the tested magnitude gaps the difference between the first- and fourth-ranked galaxies delta m4-1 proves a more robust indicator of dynamical age for | low-mass | dark matter | among the tested magnitude gaps the difference between the first- and fourth-ranked galaxies delta m4-1 proves a more robust indicator of dynamical age for low-mass groups than the conventional delta m2-1 gap |
among these methods deep neural networks have been widely adopted due to their | performance | real-world datasets | among these methods deep neural networks have been widely adopted due to their performance and accessibility but they require large high-quality datasets |
evolution du principe d exclusion compétitive le rôle | des | weak competition | evolution du principe d exclusion compétitive le rôle des mathématiques |
for fluorescence-based readout we selectively couple one of the t | center | spin readout | for fluorescence-based readout we selectively couple one of the t center spin-conserving transitions to a single-mode photonic cavity exploiting the enhancement of the fluorescence emission and cyclicity |
2023 offers a nonparametric identification using a | local | nonparametric identification | 2023 offers a nonparametric identification using a local gaussian representation lgr that holds for any bivariate joint distributions |
given r as an input we present a polynomial-time o n r-1 2 -approximation algorithm for this | maximization | -approximation algorithm | given r as an input we present a polynomial-time o n r-1 2 -approximation algorithm for this maximization problem which does not require prior knowledge of the specific decomposition |
at the same time large language models llms are | increasingly | large language models llms | at the same time large language models llms are increasingly used in health coaching yet cgm is rarely incorporated as a first-class signal |
using network gradients it is possible to identify regions where the network pays attention during image | recognition | action recognition | using network gradients it is possible to identify regions where the network pays attention during image recognition tasks |
the learned representations successfully capture known investment styles such as growth and | value | reward density | the learned representations successfully capture known investment styles such as growth and value while also revealing implicit manager objectives |
randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity | centrality | scale-free networks | randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity centrality and community structure |
two models are considered a fully connected | deep | deep learning | two models are considered a fully connected deep neural network dnn and an long short-term memory lstm -based network |
our analysis loosely favours local starburst | activity | star formation | our analysis loosely favours local starburst activity as the driver of the shocks and circumnuclear gas dynamics in ngc 7582 though the possibility of an agn jet contribution cannot be excluded |
adam is the de facto optimizer in deep learning yet its | theoretical | deep learning | adam is the de facto optimizer in deep learning yet its theoretical understanding remains limited |
optimal transmit field distribution for partially obstructed continuous radiating surfaces in near-field | communication | wireless communication | optimal transmit field distribution for partially obstructed continuous radiating surfaces in near-field communication systems |
we therefore ask whether improving representation | learning | representation learning | we therefore ask whether improving representation learning alone can substantially improve world-model performance |
our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the | potential | llm post-training | our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of llms architectures |
coherent all-optical tuning of large-area | phase-gradient | refractive index | coherent all-optical tuning of large-area phase-gradient metasurface |
furthermore we show that concept activations produce | spatial | multimodal reasoning | furthermore we show that concept activations produce spatial attributions that align with semantically meaningful image regions |
existing approaches from vision-language-action vla | models | learning agents | existing approaches from vision-language-action vla models to hierarchical frameworks fall short due to their reliance on limited or dividual-agent memory |
in the rapidly evolving research on artificial intelligence | ai | artificial intelligence | in the rapidly evolving research on artificial intelligence ai the demand for fast computationally efficient and scalable solutions has increased in recent years |
optimal unmanned aerial vehicle deployment for macro-micro | traffic | optimal uav | optimal unmanned aerial vehicle deployment for macro-micro traffic monitoring fused with connected vehicles |
here we compare three different ar navigation aids on-screen compass on-screen radar and in-world vertical arrows in a wide-area outdoor user study n 24 where participants search for hidden virtual target items amongst | physical | augmented reality | here we compare three different ar navigation aids on-screen compass on-screen radar and in-world vertical arrows in a wide-area outdoor user study n 24 where participants search for hidden virtual target items amongst physical and virtual objects |
large language models llms excel at general tasks but underperform in specialized | domains | large language models llms | large language models llms excel at general tasks but underperform in specialized domains like economics and psychology which require deep principled understanding |
while modern large language models llms are increasingly used to model neural responses to | language | large language | while modern large language models llms are increasingly used to model neural responses to language their internal representations are highly entangled mixing information about lexicon syntax meaning and reasoning |
additionally we connect for the first time the chromosome diagram to the two-stream age-metallicity relation allowing us to link the p1 and p2 | stars | galactic nuclei | additionally we connect for the first time the chromosome diagram to the two-stream age-metallicity relation allowing us to link the p1 and p2 stars to the distinct star formation tracks proposed to be in-situ and ex-situ contributions to the cluster s assembly |
formation control simplifies minimizing multi-robot cost functions by encoding a | cost | optimal control | formation control simplifies minimizing multi-robot cost functions by encoding a cost function as a shape the robots maintain |
securereviewer enhancing large language models for secure code | review | code review | securereviewer enhancing large language models for secure code review through secure-aware fine-tuning |
nearest neighbor matching is equivalent to least squares density ratio | estimation | density-ratio estimation | nearest neighbor matching is equivalent to least squares density ratio estimation and riesz regression |
comparison with exact quantum-mechanical results in one- and two-dimensional models demonstrates that it has a reasonably high accuracy similar to that reported for | instanton | instanton theory | comparison with exact quantum-mechanical results in one- and two-dimensional models demonstrates that it has a reasonably high accuracy similar to that reported for instanton theory in the symmetric case |
using transient encounter rates to quantify | spatial | spatial structure | using transient encounter rates to quantify spatial patterns of home-range organization |
building ai literacy at home how families navigate children s self-directed | learning | ai literacy | building ai literacy at home how families navigate children s self-directed learning with ai |
scale invariance and statistical significance in | complex | network structures | scale invariance and statistical significance in complex weighted networks |
a common method for reading out the state of a spin qubit is by latching one logical | qubit | qubit readout | a common method for reading out the state of a spin qubit is by latching one logical qubit state either 1 rangle or 0 rangle onto a different metastable charge state |
the performance of artificial intelligence ai | systems | artificial intelligence | the performance of artificial intelligence ai systems fundamentally depends on high-quality training data |
the proposed approach integrates pre-trained vision transformers and large language models to align visual semantics with natural | language | multimodal reasoning | the proposed approach integrates pre-trained vision transformers and large language models to align visual semantics with natural language descriptions enhancing contextual comprehension |
we also show that in mixed graphs even deciding the existence of any | cycle | bipartite graphs | we also show that in mixed graphs even deciding the existence of any cycle factor is np-complete |
low-rank adaptation lora has become a popular technique for parameter-efficient fine-tuning of large | language | large language models llms | low-rank adaptation lora has become a popular technique for parameter-efficient fine-tuning of large language models llms |
leveraging semiparametric theory we derive efficient influence functions and construct consistent asymptotically normal estimators via | debiased | debiased machine learning | leveraging semiparametric theory we derive efficient influence functions and construct consistent asymptotically normal estimators via debiased machine learning |
however problems in rendering can create sensorimotor | disruptions | sensorimotor disruptions | however problems in rendering can create sensorimotor disruptions that undermine presence and task performance |
randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity | centrality | network structures | randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity centrality and community structure |
our work significantly extends the existing results on the | convergence | convergence rate | our work significantly extends the existing results on the convergence of gd and sgd by guaranteeing that they apply to practical neural network settings and has the potential to unlock further exploration of learning dynamics |
a single-loop first-order algorithm for linearly constrained | bilevel | bilevel optimization | a single-loop first-order algorithm for linearly constrained bilevel optimization |
in the non-adaptive case our lower bounds essentially match the | complexity | time complexity | in the non-adaptive case our lower bounds essentially match the complexity of the algorithm that we provide |
trishul technique for reconstructing magnetic | interstellar | interstellar medium | trishul technique for reconstructing magnetic interstellar structure using starlight polarization |
this encoder applies posterior probability modeling and information decomposition to extract accurate and concise low-level modal | information | dual encoder | this encoder applies posterior probability modeling and information decomposition to extract accurate and concise low-level modal information thereby supporting the generation of high-fidelity structural details |
while large language models llms offer opportunities in document understanding | current | large language models llms | while large language models llms offer opportunities in document understanding current systems struggle with complex multi-page visual documents particularly in fine-grained reasoning over elements and pages |
however this work argues that the reasoning behavior of | llms | llm responses | however this work argues that the reasoning behavior of llms in hci is often decontextualized from the underlying mechanics and subjective decisions that condition the emergence and human interpretation of this behavior |
this algorithm leverages ell_ infty lewis | weight | -time algorithm | this algorithm leverages ell_ infty lewis weight overestimates and achieves this iteration complexity via a simple lightweight irls approach inspired by the work of |
we present a quantum-enhanced protocol for detecting wave-like dark matter using an array of | n | open quantum | we present a quantum-enhanced protocol for detecting wave-like dark matter using an array of n entangled superconducting cavities initialized in an m -photon fock state |
this assumption generalizes existing assumptions of differential basis support used for identification of the | causal | causal inference | this assumption generalizes existing assumptions of differential basis support used for identification of the causal effect under spatial confounding and does not require prior knowledge of which basis functions satisfy this support condition |
large language models llms excel at general | tasks | models llms | large language models llms excel at general tasks but underperform in specialized domains like economics and psychology which require deep principled understanding |
integrating legal and logical specifications in perception prediction and | planning | collision avoidance | integrating legal and logical specifications in perception prediction and planning for automated driving a survey of methods |
extracting pulsive temporal patterns from a small dataset without their repetition or singularity | shows | temporal patterns | extracting pulsive temporal patterns from a small dataset without their repetition or singularity shows significant importance in manufacturing applications but does not sufficiently attract scientific attention |
over iterations this imbalance becomes increasingly pronounced--a dynamic we term the matthew | effect | superior performance | over iterations this imbalance becomes increasingly pronounced--a dynamic we term the matthew effect --which ultimately hinders further model improvement and leads to performance bottlenecks |
the analytical calculation of suitable precodings for perfect | channel | channel estimation | the analytical calculation of suitable precodings for perfect channel information is well studied however their performance can quickly deteriorate when faced with e |
to each gonosomic algebra an evolution operator noted w is associated that gives the state of the | offspring | population genetics | to each gonosomic algebra an evolution operator noted w is associated that gives the state of the offspring population at the birth stage |
in this paper we present an inverse-free pure quantum state estimation protocol that achieves | heisenberg | super-heisenberg scaling | in this paper we present an inverse-free pure quantum state estimation protocol that achieves heisenberg scaling |
several future directions are outlined for further developing the multiplex | limit | limit theory | several future directions are outlined for further developing the multiplex limit theory |
these findings confirm that entity aware retrieval improves both efficiency and accuracy in clinical | natural | natural language processing | these findings confirm that entity aware retrieval improves both efficiency and accuracy in clinical natural language processing |
we used these disentangled embeddings to model intracranial ecog brain | recordings | electroencephalography eeg | we used these disentangled embeddings to model intracranial ecog brain recordings from neurosurgical patients listening to natural speech |
shortcuts spurious rules that perform well during training but fail to generalize present a major challenge to the reliability of | deep | gradient descent | shortcuts spurious rules that perform well during training but fail to generalize present a major challenge to the reliability of deep networks geirhos et al |
using the specific stellar angular momentum proxy lambda_r we quantify the balance between ordered | rotation | angular momentum | using the specific stellar angular momentum proxy lambda_r we quantify the balance between ordered rotation and random motions |
results show that the curvature-aware calibration maintains consistent force accuracy across all surfaces while flat-surface | calibration | calibration plate | results show that the curvature-aware calibration maintains consistent force accuracy across all surfaces while flat-surface calibration underestimates force as curvature increases |
next we introduce a structured categorization of av datasets that moves beyond simple collections positioning ego-vehicle infrastructure-based and cooperative | datasets | dataset comprising | next we introduce a structured categorization of av datasets that moves beyond simple collections positioning ego-vehicle infrastructure-based and cooperative datasets e |
enhancing the reachability of variational quantum | algorithms | quantum mechanics | enhancing the reachability of variational quantum algorithms via input-state design |
by providing a mathematically rigorous framework for controlling amari-type neural fields this work advances our understanding of | nonlinear | neural codes | by providing a mathematically rigorous framework for controlling amari-type neural fields this work advances our understanding of nonlinear neural population control with potential applications in computational neuroscience psychophysics and neurostimulation |
interstellar comet 3i atlas evidence for galactic | cosmic | massive galaxies | interstellar comet 3i atlas evidence for galactic cosmic ray processing |
we identify potential trade-offs between collective size and coordination noise for example a | collective | collective action | we identify potential trade-offs between collective size and coordination noise for example a collective that is twice as big but with four times more noise experiencing worse outcomes than the smaller more coordinated one |
supervised reinforcement learning from expert | trajectories | reinforcement learning | supervised reinforcement learning from expert trajectories to step-wise reasoning |
the introduction of integrated sensing and communications | isac | integrated sensing | the introduction of integrated sensing and communications isac in cellular systems is not expected to result in a shift away from the popular choice of cost- and energy-efficient analog or hybrid beamforming structures |
second we study the canonical form of such optimizers which is spectral | gradient | gradient descent | second we study the canonical form of such optimizers which is spectral gradient descent specgd -- each update step is uv t where u sigma v t is the truncated svd of the gradient |
a unified theory for causal inference direct | debiased | debiased machine learning | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
amo-bench large language models still struggle in | high | large language | amo-bench large language models still struggle in high school math competitions |
however existing models often struggle to capture subtle differences between molecules and their descriptions as they lack the ability to | learn | language models | however existing models often struggle to capture subtle differences between molecules and their descriptions as they lack the ability to learn fine-grained alignments between molecular substructures and chemical phrases |
by presenting efficient numerical samplers which converge with optimal rate in terms of discretizations step we provide a comprehensive comparison of models based on confined specularly reflected kinetic | langevin | langevin dynamics | by presenting efficient numerical samplers which converge with optimal rate in terms of discretizations step we provide a comprehensive comparison of models based on confined specularly reflected kinetic langevin diffusion with models based on reflected diffusion with local time |
ai predictive systems are increasingly embedded in | decision | predictive performance | ai predictive systems are increasingly embedded in decision making pipelines shaping high stakes choices once made solely by humans |
the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and robust structures in | neuronal | artificial neural | the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and robust structures in neuronal dynamics leading to novel predictions about the neural computations underlying behavior |
finally we validate these theoretical guarantees on several real-world datasets | demonstrating | real datasets | finally we validate these theoretical guarantees on several real-world datasets demonstrating improved personalization of human preferences |
beyond regularization we employ model inversion to synthesize data from the | trained | continual learning | beyond regularization we employ model inversion to synthesize data from the trained model enabling replay without storing samples |
it is equipped with a commercial-grade adaptive | optics | nonlinear optical | it is equipped with a commercial-grade adaptive optics system for efficient single-mode fibre coupling |
to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance observer is added to provide | disturbance | external disturbances | to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance observer is added to provide disturbance estimates |
in this work we utilize proximal causal inference framework for learning optimal dynamic | treatment | causal inference | in this work we utilize proximal causal inference framework for learning optimal dynamic treatment regimes when the unconfoundedness assumption fails |
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum | resources | entanglement entropy | bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum resources that are impossible if they can only use classical resources |
we present fm agent a novel and general-purpose | multi-agent | llm agents | we present fm agent a novel and general-purpose multi-agent framework that leverages a synergistic combination of llm-based reasoning and large-scale evolutionary search to address complex real-world challenges |
instrumental variable methods are fundamental to | causal | causal inference | instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables |
when the decomposition v_i f_i _ i 1 m is known an additional | connectivity | submodular maximization | when the decomposition v_i f_i _ i 1 m is known an additional connectivity requirement is introduced to the problem |
we address this problem by proposing a grammar of temporal graphics and an associated software implementation ggtime that encodes temporal semantics into a declarative grammar for visualizing | temporal | temporal semantics | we address this problem by proposing a grammar of temporal graphics and an associated software implementation ggtime that encodes temporal semantics into a declarative grammar for visualizing temporal data |
we investigate the properties of gas giving rise to | o | vi emission | we investigate the properties of gas giving rise to o vi emission from the cgm that upcoming missions such as the aspera smallsat will be able to map in local galaxies |
we show that assignment rules with more than one variable allow the estimation of a more comprehensive set of treatment effects relaxing in a research-driven style the | local | treatment effect boundaries | we show that assignment rules with more than one variable allow the estimation of a more comprehensive set of treatment effects relaxing in a research-driven style the local and sometimes limiting nature of univariate rd designs |
stabilizability with bounded feedback for analytic linear | control | linear control | stabilizability with bounded feedback for analytic linear control systems |
our results underline the potential of generative | models | quantum walk | our results underline the potential of generative models as a general-purpose methodology for automated quantum circuit design offering a promising path towards more efficient quantum algorithms and accelerating scientific discovery in the quantum domain |
the continuous functional perspective unifies | spatial | dynamic spatial | the continuous functional perspective unifies spatial econometrics with mathematical physics providing theoretically grounded methods for boundary detection exposure quantification and policy evaluation across environmental economics banking and healthcare applications |
causal machine learning has emerged as a powerful tool for flexibly estimating | causal | causal effects | causal machine learning has emerged as a powerful tool for flexibly estimating causal effects from observational data in both industry and academia |
fitting a suite of paris-durham shock models to the rotational h _2 lines as well as rovibrational 1-0 s 1 1-0 s 2 and 2-1 s 1 h _2 emission | lines | emission line | fitting a suite of paris-durham shock models to the rotational h _2 lines as well as rovibrational 1-0 s 1 1-0 s 2 and 2-1 s 1 h _2 emission lines we find that a slow v_s sim 10 km s c-type shock is likely responsible for the elevated temperatures |
these quantum-inspired methods are expected to yield faster algorithms with applications ranging from astronomy and earth observation to microscopy and | classical | quantum emitters | these quantum-inspired methods are expected to yield faster algorithms with applications ranging from astronomy and earth observation to microscopy and classical imaging more broadly |
continual learning cl aims to incrementally train a model on a sequence of tasks while retaining | performance | reinforcement learning | continual learning cl aims to incrementally train a model on a sequence of tasks while retaining performance on prior ones |
in the proposed system the target illumination signal is transmitted on the downlink radar sub-band whereas uplink users transmit on the | uplink | uplink communication | in the proposed system the target illumination signal is transmitted on the downlink radar sub-band whereas uplink users transmit on the uplink communication sub-band |
our experiments show that the best forecasting models achieve | classification | time series classification | our experiments show that the best forecasting models achieve classification accuracy that matches or even surpasses that of state-of-the-art models pre-trained specifically for classification |
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