prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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perseus with its known formation history through | interstellar | interstellar medium | perseus with its known formation history through interstellar structure e |
we observe that it is attributed to the secret key mostly used in the watermark detection -- it cannot be public or the adversary may launch removal attacks provided the key nor can it be private or the | watermarking | watermarking schemes | we observe that it is attributed to the secret key mostly used in the watermark detection -- it cannot be public or the adversary may launch removal attacks provided the key nor can it be private or the watermarking detection is opaque to the public |
the debiased plug-in j -test delivers satisfactory | finite-sample | randomized experiments | the debiased plug-in j -test delivers satisfactory finite-sample inference and slim scales smoothly to n 10 6 |
more importantly the thinking structure in this protocol can be further optimized through | reinforcement | reinforcement learning rl | more importantly the thinking structure in this protocol can be further optimized through reinforcement learning |
using these benchmarks researchers have found that | llms | proxy llms | using these benchmarks researchers have found that llms sometimes fail to keep secrets private when responding to complex tasks e |
in this paper we study the truncated random | return | truncated random | in this paper we study the truncated random return in the distributional lqr |
contrary to expectations our investigations reveal that the alignment between textual and image modalities in existing | diffusion | diffusion models | contrary to expectations our investigations reveal that the alignment between textual and image modalities in existing diffusion models is inadequate |
this paper studies an online cost optimization problem for | distributed | online algorithm | this paper studies an online cost optimization problem for distributed storage and access |
this study experimentally tested whether short-term exposure to narrow ai tools enhances core | cognitive | ai literacy | this study experimentally tested whether short-term exposure to narrow ai tools enhances core cognitive abilities or simply optimizes task performance |
using a brain encoder as a digital twin offers a powerful data-driven framework for generating and testing hypotheses about visual selectivity in the human brain - hypotheses that can guide future | fmri | brain decoding | using a brain encoder as a digital twin offers a powerful data-driven framework for generating and testing hypotheses about visual selectivity in the human brain - hypotheses that can guide future fmri experiments |
while this perspective has had enormous impact in imitation learning for robotics and understanding dynamic choices in economics practical | learning | policy learning | while this perspective has had enormous impact in imitation learning for robotics and understanding dynamic choices in economics practical learning algorithms often involve delicate inner-loop optimization repeated dynamic programming or adversarial training all of which complicate the use of modern highly expressive function approximators like neural nets and boosting |
88 on a held-out test set and when applied to 146 who-classified uncertain variants identified 41 candidates with convergent emergence across multiple | lineages | phylogenetic diversity | 88 on a held-out test set and when applied to 146 who-classified uncertain variants identified 41 candidates with convergent emergence across multiple lineages consistent with adaptive evolution |
building ai literacy at home how families navigate children s self-directed | learning | ai use | building ai literacy at home how families navigate children s self-directed learning with ai |
we outline a multi-phase research methodology focused on preparing re datasets fine-tuning ai models and designing collaborative | human-ai | ai assistance | we outline a multi-phase research methodology focused on preparing re datasets fine-tuning ai models and designing collaborative human-ai workflows |
by further exploiting the underlying graph structure we show that gsi with musielak regularization gsi-m reduces to a simple emph univariate | optimization | gradient descent | by further exploiting the underlying graph structure we show that gsi with musielak regularization gsi-m reduces to a simple emph univariate optimization problem achieving remarkably computational efficiency |
existing methods either overlook coreference | resolution | coreference resolution | existing methods either overlook coreference resolution or fail to scale beyond short text spans leading to fragmented graphs and inconsistent entity linking |
this allows us to build a fully-correlated approximate | posterior | approximate posterior | this allows us to build a fully-correlated approximate posterior reflecting the overparametrization that tunes easy-to-interpret hyperparameters |
colony-level heterogeneity urges a fundamental question how is it possible that one colony as a | collective | collective systems | colony-level heterogeneity urges a fundamental question how is it possible that one colony as a collective unit behaves differently from another one |
however the most representative skeleton sequences may not necessarily be the most informative for the | action | action recognition | however the most representative skeleton sequences may not necessarily be the most informative for the action recognizer as the model may have already acquired similar knowledge from previously seen skeleton samples |
in addition in the critical weak competition case b a 1 c d 0 we rigorously prove for the first time the existence of front-pulse | traveling | traveling waves | in addition in the critical weak competition case b a 1 c d 0 we rigorously prove for the first time the existence of front-pulse traveling waves |
a mathematical theory for understanding when | abstract | deep learning | a mathematical theory for understanding when abstract representations emerge in neural networks |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | quiescent galaxies | the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of local group dwarf galaxies |
unlike the curie-weiss type divergence typically observed in diluted magnetic systems our findings reveal a distinct enhancement of magnetization per er 3 ion under high | magnetic | magnetic anisotropy | unlike the curie-weiss type divergence typically observed in diluted magnetic systems our findings reveal a distinct enhancement of magnetization per er 3 ion under high magnetic fields suggesting an unconventional mechanism |
here we harness the emission of a quantum | dot | quantum dot | here we harness the emission of a quantum dot embedded in a micropillar and explore a hybrid approach where the information is encoded on a mixture of single photons and laser pulses |
we propose viz-coast a method of leveraging the common-sense spatial reasoning of | large | multi-goal visual | we propose viz-coast a method of leveraging the common-sense spatial reasoning of large pretrained vision-language models to identify issues with downward refinement a priori bypassing the need to fix these failures during planning |
inspired by this principle we introduce a hierarchical multimodal | recurrent | artificial neural | inspired by this principle we introduce a hierarchical multimodal recurrent neural network grounded in predictive processing under the free-energy principle capable of directly integrating over 30 000-dimensional visuo-proprioceptive inputs without dimensionality reduction |
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large | vision-language | vision-language models | self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large vision-language models lvlms where models explore and learn from successful trajectories iteratively |
results show that lower and more homogeneously distributed learning rates promote scale-free networks while higher or more heterogeneously distributed learning | rates | learning rates | results show that lower and more homogeneously distributed learning rates promote scale-free networks while higher or more heterogeneously distributed learning rates lead to the emergence of core-periphery topologies |
2024 develops riesz regression for automatic debiased | machine | debiased machine learning | 2024 develops riesz regression for automatic debiased machine learning which directly estimates the riesz representer or equivalently the bias-correction term by minimizing the mean squared error |
plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of | first-stage | regression function | plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of first-stage bias |
these findings highlight risks of treating | llms | llm agents | these findings highlight risks of treating llms as neutral decision aids and underline the need to elicit ai judgments prior to exposing them to human opinions |
by integrating spatial factors and network representation the framework provides a versatile decision-support tool for bss planning in complex | urban | urban systems | by integrating spatial factors and network representation the framework provides a versatile decision-support tool for bss planning in complex urban environments |
to fill this gap via an iterative and deductive process we develop the interaction-augmented instruction iai model a compact entity-relation graph formalizing how the combination of | interactions | human-ai interaction | to fill this gap via an iterative and deductive process we develop the interaction-augmented instruction iai model a compact entity-relation graph formalizing how the combination of interactions and text prompts enhances human-generative ai communication |
data selection is a critical aspect of reinforcement learning with verifiable rewards rlvr for enhancing the reasoning capabilities of large | language | language models | data selection is a critical aspect of reinforcement learning with verifiable rewards rlvr for enhancing the reasoning capabilities of large language models llms |
stellar-mass compact objects cos embedded in active | galactic | galactic disk | stellar-mass compact objects cos embedded in active galactic nucleus agn discs are commonly assumed to accrete via bondi or bondi-hoyle-lyttleton bhl prescriptions neglecting gas angular momentum |
here we exploit the spatial structure of atomic | ensembles | single photons | here we exploit the spatial structure of atomic ensembles to control the coupling between modes of distinct cavities thereby reshaping the resulting atom-photon spectra |
my research in building a well-designed ar stage features avatars and interactive | elements | mobile ar | my research in building a well-designed ar stage features avatars and interactive elements that allow users to engage with stories at their own pace granting them full agency over their experience |
together these results provide a principled account of memory as an active constructive and | resource-bounded | memory demand | together these results provide a principled account of memory as an active constructive and resource-bounded process |
bridging a key theoretical challenge in diffusion-based generative modeling our results extend convergence theory to more realistic data | distributions | langevin dynamics | bridging a key theoretical challenge in diffusion-based generative modeling our results extend convergence theory to more realistic data distributions and practical ode solvers |
here we implement an efficient quantum simulation algorithm on quantinuum s system model h2 trapped-ion | quantum | classical simulation | here we implement an efficient quantum simulation algorithm on quantinuum s system model h2 trapped-ion quantum computer for the time dynamics of a 56-qubit system that is too complex for exact classical simulation |
by making predictability an explicit metric for crafting the data diet poyo-ssl turns heterogeneity from a liability into an asset providing a robust | biologically | neural representations | by making predictability an explicit metric for crafting the data diet poyo-ssl turns heterogeneity from a liability into an asset providing a robust biologically grounded recipe for scalable neural decoding and a path toward foundation models of neural dynamics |
the civic tool was developed in partnership with municipal authorities law enforcement ngos and social services and reflects their | institutional | civic tool | the civic tool was developed in partnership with municipal authorities law enforcement ngos and social services and reflects their institutional priorities while centering community knowledge |
here we harness the emission of a quantum dot embedded in a micropillar and explore a | hybrid | quantum key distribution | here we harness the emission of a quantum dot embedded in a micropillar and explore a hybrid approach where the information is encoded on a mixture of single photons and laser pulses |
we present a suite of 100 cosmologically motivated controlled n-body simulations designed to advance the understanding of the role of purely gravitational dynamics in the early formation of | low-mass | dark matter | we present a suite of 100 cosmologically motivated controlled n-body simulations designed to advance the understanding of the role of purely gravitational dynamics in the early formation of low-mass galaxy groups 1-5 x 10 13 m_sun |
while the sample complexity of agnostic learning is well understood its time | complexity | time complexity | while the sample complexity of agnostic learning is well understood its time complexity has received much less attention |
the fourth example has two binary and absorbing | treatments | treatment effect | the fourth example has two binary and absorbing treatments where the second treatment always happens after the first |
we also explore applications of coherence to | graph | regular graphs | we also explore applications of coherence to graph problems |
we formulate hierarchy inference as a differentiable graph learning problem where vertices represent elemental motions and directed edges capture learned parent-child dependencies through | graph | graph neural | we formulate hierarchy inference as a differentiable graph learning problem where vertices represent elemental motions and directed edges capture learned parent-child dependencies through graph neural networks |
despite the widespread adoption of parallel join-based | trees | spanning trees | despite the widespread adoption of parallel join-based trees a major drawback of previous work on such data structures is the inefficiency of their input output i o access patterns |
the structure of relation decoding linear operators in large | language | large language | the structure of relation decoding linear operators in large language models |
data-enabled predictive control and guidance for autonomous | underwater | underwater vehicles | data-enabled predictive control and guidance for autonomous underwater vehicles |
accurate macroeconomic forecasting has become harder amid geopolitical disruptions | policy | monetary policy | accurate macroeconomic forecasting has become harder amid geopolitical disruptions policy reversals and volatile financial markets |
2 textbf failure-guided hints injecting corrective guidance into | stalled | success rate | 2 textbf failure-guided hints injecting corrective guidance into stalled trajectories to increase the probability of successful outcomes |
the discovery of the proof was heavily assisted by chatgpt a proprietary large | language | large language | the discovery of the proof was heavily assisted by chatgpt a proprietary large language model and we describe the process through which its assistance was |
for fair and rigorous evaluation we curate goat-core a high-quality core split distilled from goat-bench tailored to multi-modal open-vocabulary multi-goal | visual | multi-goal visual | for fair and rigorous evaluation we curate goat-core a high-quality core split distilled from goat-bench tailored to multi-modal open-vocabulary multi-goal visual navigation |
we present a suite of 100 cosmologically motivated controlled n-body simulations designed to advance the understanding of the | role | quiescent galaxies | we present a suite of 100 cosmologically motivated controlled n-body simulations designed to advance the understanding of the role of purely gravitational dynamics in the early formation of low-mass galaxy groups 1-5 x 10 13 m_sun |
we suggest demographic synchrony provides a general mechanism for understanding why human populations remain vulnerable across all scales scale still stabilizes synchronous populations via density increases but synchrony ensures that stability grows only slowly with size leaving large | populations | population genetics | we suggest demographic synchrony provides a general mechanism for understanding why human populations remain vulnerable across all scales scale still stabilizes synchronous populations via density increases but synchrony ensures that stability grows only slowly with size leaving large populations more volatile and more vulnerable than classical demographic theory predicts |
without imposing any a priori structures on the spatial linkages between | variables | causal inference | without imposing any a priori structures on the spatial linkages between variables we let the data speak for themselves |
these eeg data adaptively manipulates the audiovisual parameters in real-time generating a distinct | experience | user experience | these eeg data adaptively manipulates the audiovisual parameters in real-time generating a distinct experience for each user |
as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur | photonic | photonic crystal | as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur photonic crystal cavities and develop a tapered quasi loss-free cavity-waveguide interface to adiabatically interconvert bloch and waveguide modes |
in this work we explore how human-machine | teaming | human-machine teaming | in this work we explore how human-machine teaming can support this process by accelerating iterations while preserving human judgment |
this study introduces a fully-supervised three-stage framework the staged bayesian domain-adversarial neural network staged b-dann that combines parameter transfer and shared | latent | generative models | this study introduces a fully-supervised three-stage framework the staged bayesian domain-adversarial neural network staged b-dann that combines parameter transfer and shared latent space adaptation |
leveraging this equivalence we propose a novel regularization method for | policy | preference learning | leveraging this equivalence we propose a novel regularization method for policy learning |
the stochastic evolutionary game dynamics in the regime of replication-selection reveals the emergence of spiteful behaviour as a dominant behaviour via a first order phase transition -- a discontinuous jump in the frequency of spiteful | individuals | evolutionary game | the stochastic evolutionary game dynamics in the regime of replication-selection reveals the emergence of spiteful behaviour as a dominant behaviour via a first order phase transition -- a discontinuous jump in the frequency of spiteful individuals at a threshold value of prejudicity |
the graph constructed from the power system model requires only knowledge of the dependencies between state-to-state and output-to-state variables within a | state-space | state estimation | the graph constructed from the power system model requires only knowledge of the dependencies between state-to-state and output-to-state variables within a state-space framework |
programming assistants powered by large language | models | language models | programming assistants powered by large language models llms have become widely available with conversational assistants like chatgpt proving particularly accessible to less experienced programmers |
here we employ a two-color pump-probe system to reveal the anisotropic electron-phonon coupling epc and coherent | phonon | phonon polaritons | here we employ a two-color pump-probe system to reveal the anisotropic electron-phonon coupling epc and coherent phonon dynamics in bulk tairte4 |
the limiting distributions derived here are obtained under stationarity and nonstationarity assumptions and analytically tractable expressed as finite sums of weighted independent chi 2 | random | central limit theorem | the limiting distributions derived here are obtained under stationarity and nonstationarity assumptions and analytically tractable expressed as finite sums of weighted independent chi 2 random variables |
for this reason a lrsga method is proposed where the approximation to | second-order | first-order methods | for this reason a lrsga method is proposed where the approximation to second-order mixed derivatives are obtained by rank-one updates |
our initial approach uses solve_bvp to approximate optimal | control | dynamic programming | our initial approach uses solve_bvp to approximate optimal control trajectories |
this work presents a theoretical and numerical investigation of the symplectic gradient adjustment sga method and of a low-rank | sga | bilevel optimization | this work presents a theoretical and numerical investigation of the symplectic gradient adjustment sga method and of a low-rank sga lrsga method for efficiently solving two-objective optimization problems in the framework of nash games |
a linear convergence rate is also obtained under the | strong | linear convergence | a linear convergence rate is also obtained under the strong monotonicity assumption |
characterizing cities through urban structure form and function the framework uncovers bidirectional causal patterns between | urban | urban systems | characterizing cities through urban structure form and function the framework uncovers bidirectional causal patterns between urban systems and traffic dynamics across 30 cities on six continents |
it is well known that the combination of off-policy learning and | function | reinforcement learning | it is well known that the combination of off-policy learning and function approximation can lead to divergence of the algorithm |
carbon-aware optimal power flow with data-driven | carbon | optimal power flow | carbon-aware optimal power flow with data-driven carbon emission tracing |
latent class logit kernel framework for surrogate | safety | crash risk | latent class logit kernel framework for surrogate safety identifying behavioural thresholds through conflict indicator profiles |
with stesso it has been experimentally proven that n 1 -bit toffoli | gates | -bit toffoli | with stesso it has been experimentally proven that n 1 -bit toffoli gates always have lower quantum costs than using conventional composition methods |
amo-bench large language models still struggle in | high | language models | amo-bench large language models still struggle in high school math competitions |
by assuming efficient suppression of inter-sub-band interference between radar and communication sub-bands | uplink | uplink communication | by assuming efficient suppression of inter-sub-band interference between radar and communication sub-bands uplink communication and radar signals can be efficiently processed without mutual interference |
this network is proposed to leverage the information dependencies in | supply | supply chain | this network is proposed to leverage the information dependencies in supply chain to derive invisible states of samples in the database |
finally we investigate how multi-slice electron ptychography could provide even further insight on nanotube defect structures thanks to its close to 3d imaging capabilities at | atomic | atomic force microscopy | finally we investigate how multi-slice electron ptychography could provide even further insight on nanotube defect structures thanks to its close to 3d imaging capabilities at atomic resolution |
llms as in-context meta-learners for model and | hyperparameter | models llms | llms as in-context meta-learners for model and hyperparameter selection |
adaptive channel estimation and quantized feedback for ris assisted optical | wireless | channel state information | adaptive channel estimation and quantized feedback for ris assisted optical wireless communication systems |
leveraging this equivalence we propose a novel regularization method for | policy | reinforcement learning | leveraging this equivalence we propose a novel regularization method for policy learning |
the impact of navigation aids on search performance and object recall in wide-area | augmented | augmented reality | the impact of navigation aids on search performance and object recall in wide-area augmented reality |
the combination of efficient tunneling leakage management by composite pt cap ptox | pt | ptox pt | the combination of efficient tunneling leakage management by composite pt cap ptox pt 1 |
existing methods often simplify these complexities limiting their | real-world | existing methods | existing methods often simplify these complexities limiting their real-world performance |
in first phase of experiments turbulence impacted vortex beam shaping technique has been introduced for a propagating | beam | beam shaping | in first phase of experiments turbulence impacted vortex beam shaping technique has been introduced for a propagating beam which is effected by kolmogorov type lab based turbulence simulator using pseudo random phase plate prpp |
this approach restores high-sensitivity operation in the maximum-pulse-efficiency configuration without detailed beam characterisation providing a practical route towards next-generation time-resolved | atom | atom interferometry | this approach restores high-sensitivity operation in the maximum-pulse-efficiency configuration without detailed beam characterisation providing a practical route towards next-generation time-resolved atom interferometers operating at the 10 -5 rad noise level |
while encompassing several update rules from the literature this framework allows for priority on | updates | data-driven stabilization | while encompassing several update rules from the literature this framework allows for priority on updates of particular blocks and correlations in the block selection between iterations which is not permitted under the classical convergent stochastic framework |
quantum imaging with entangled photon pairs promises | performance | quantum channels | quantum imaging with entangled photon pairs promises performance beyond classical limits yet phase-matching nonlinear crystal properties and pump size jointly constrain its ultimate spatial resolution |
using information geometry to characterize higher-order | interactions | brain-computer interface | using information geometry to characterize higher-order interactions in eeg |
here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform | demonstrating | single photons | here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform demonstrating entanglement superactivation phenomena which are unique to multipartite systems |
our findings reveal that despite being designed to enhance efficiency cognitive | strategies | control strategies | our findings reveal that despite being designed to enhance efficiency cognitive strategies can reduce the abundance of the species due to the constraints of cyclic dominance |
in visuomotor policy learning diffusion-based imitation | learning | learning agents | in visuomotor policy learning diffusion-based imitation learning has become widely adopted for its ability to capture diverse behaviors |
in this study we first prove that the density-ratio estimation method proposed in | lin | density-ratio estimation | in this study we first prove that the density-ratio estimation method proposed in lin et al |
the results show that individual robot movements can be validated with over 80 accuracy under baseline conditions using four different classifiers support vector machine svm deep neural network dnn recurrent neural network rnn and convolutional | neural | mobile robots | the results show that individual robot movements can be validated with over 80 accuracy under baseline conditions using four different classifiers support vector machine svm deep neural network dnn recurrent neural network rnn and convolutional neural network cnn |
we aim to assess what types of sfhs are consistent with the observed present-day star formation rates text sfr _0 and time-averaged star formation rates langle text | sfr | star formation rates | we aim to assess what types of sfhs are consistent with the observed present-day star formation rates text sfr _0 and time-averaged star formation rates langle text sfr rangle of galaxies in the local volume without assuming any fixed functional form |
existing benchmarks have widely leveraged high school math competitions for evaluating mathematical | reasoning | reasoning capabilities | existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large language models llms |
scribe combines domain-specific tools with a self-reflective | inference | reasoning curriculum | scribe combines domain-specific tools with a self-reflective inference pipeline that supports iterative reasoning tool use and error recovery |
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