prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
|---|---|---|---|
this way prior domain knowledge can be incorporated into the learning process and the learned | driving | autonomous driving | this way prior domain knowledge can be incorporated into the learning process and the learned driving behaviour can be constrained more easily |
we show that if the system is controllable then incorporating this as prior knowledge does not relax the | conditions | control systems | we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for data-driven stabilization |
leveraging this equivalence we propose a novel regularization method for | policy | policy learning | leveraging this equivalence we propose a novel regularization method for policy learning |
we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between | chemical | star formation rates | we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between chemical and physical parameters |
because it operates purely at inference time it applies uniformly across various dlms and naturally extends to | diverse | llm inference | because it operates purely at inference time it applies uniformly across various dlms and naturally extends to diverse supervision sources |
this paper presents a comprehensive cross-platform evaluation of reasoning capabilities in contemporary | foundation | foundation models | this paper presents a comprehensive cross-platform evaluation of reasoning capabilities in contemporary foundation models establishing an infrastructure-agnostic benchmark across three computational paradigms hpc supercomputing marenostrum 5 cloud platforms nebius ai studio and university clusters a node with eight h200 gpus |
in real-world environments ai systems often face unfamiliar scenarios without labeled data creating a major challenge for conventional scene | understanding | vision-language models vlms | in real-world environments ai systems often face unfamiliar scenarios without labeled data creating a major challenge for conventional scene understanding models |
we establish the convergence of the sequence generated by tkma to a fixed | point | convergence guarantees | we establish the convergence of the sequence generated by tkma to a fixed point of t |
the report is organized around three core capabilities required for brain emulation recording brain function neural dynamics mapping brain structure connectomics and | emulation | electroencephalography eeg | the report is organized around three core capabilities required for brain emulation recording brain function neural dynamics mapping brain structure connectomics and emulation and embodiment computational neuroscience |
the turbulence impacted beam is then propagated through vortex phase plate vpp to shape that | beam | beam shaping | the turbulence impacted beam is then propagated through vortex phase plate vpp to shape that beam into different topological charged laguerre gaussian modes and further collimated using two lens based configuration |
we motivate and develop four idealized galaxy cgm | spatial-kinematic | galaxy cgm | we motivate and develop four idealized galaxy cgm spatial-kinematic structures based on empirical data and theoretical predictions 1 a rotating galactic disk extra-planar gas 2 a static or dynamic spherical halo 3 an outflowing bi-polar galactic wind and 4 an inward spiraling flared planar accretion |
we present a generalization of the so-called fractional stirap f-stirap demonstrating precise control over the mixing ratio of | quantum | quantum emitters | we present a generalization of the so-called fractional stirap f-stirap demonstrating precise control over the mixing ratio of quantum states in the wave packet |
the bounds are the solutions to optimization problems for which we derive a | computationally | optimization problem | the bounds are the solutions to optimization problems for which we derive a computationally tractable dual formulation |
we compile multiwavelength data from the radio to the gamma-ray regimes for all sources including | multiwavelength | gamma -ray | we compile multiwavelength data from the radio to the gamma-ray regimes for all sources including multiwavelength spectral indices and redshifts |
large language models llms face significant inference latency challenges stemming from their autoregressive design and | large | large language | large language models llms face significant inference latency challenges stemming from their autoregressive design and large size |
to address this tension a coach-like llm environment was developed that embodies divergent and convergent | thinking | llm reasoning | to address this tension a coach-like llm environment was developed that embodies divergent and convergent thinking personas as two complementary processes |
through this survey we aim to provide a foundational understanding of how ai techniques are reshaping thermal science and guiding future research in | nanoscale | heat conduction | through this survey we aim to provide a foundational understanding of how ai techniques are reshaping thermal science and guiding future research in nanoscale heat transfer |
our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium | abundance | star formation rates | our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium abundance with the option of a saturation of the yields at high metallicity |
although various high power-efficiency waveforms have been proposed most are incompatible with the cp-ofdma framework and remain ineffective in multi-user | downlink | uplink communication | although various high power-efficiency waveforms have been proposed most are incompatible with the cp-ofdma framework and remain ineffective in multi-user downlink transmissions |
learning to plan schedule with reinforcement-learned bimanual | robot | imitation learning | learning to plan schedule with reinforcement-learned bimanual robot skills |
kernel density estimation kde is a cornerstone of | nonparametric | density estimation | kernel density estimation kde is a cornerstone of nonparametric statistics yet it remains sensitive to bandwidth choice boundary bias and computational inefficiency |
we provide a sharp analytical characterization of the stochastic steady states and of the | transition | game theory | we provide a sharp analytical characterization of the stochastic steady states and of the transition dynamics across nash equilibria and employ simulations to illustrate these results in special cases |
we evaluate our approach on real-world datasets and demonstrate that integrating interventional constraints not only improves model accuracy and ensures consistency with established findings making models more explainable but also facilitates the discovery of new | causal | interventional constraints | we evaluate our approach on real-world datasets and demonstrate that integrating interventional constraints not only improves model accuracy and ensures consistency with established findings making models more explainable but also facilitates the discovery of new causal relationships that would otherwise be costly to identify |
reliable estimation of network-wide traffic states is essential for urban | traffic | reliable estimation | reliable estimation of network-wide traffic states is essential for urban traffic management |
these features suggest that the gas forming the cold front is flowing in the plane oriented along the los supporting an offset merger scenario in which the main | cluster | star formation | these features suggest that the gas forming the cold front is flowing in the plane oriented along the los supporting an offset merger scenario in which the main cluster has passed in front of the subcluster and induced rotation of the core gas in the plane perpendicular to the sky |
we then discuss how the geometric primitives naturally embed nullspace structures into the controllers that can be exploited for introducing secondary | control | optimal control | we then discuss how the geometric primitives naturally embed nullspace structures into the controllers that can be exploited for introducing secondary control objectives |
simulating the dynamics of quantum impurity | models | quantum computing | simulating the dynamics of quantum impurity models remains a fundamental challenge due to the complex memory effects that arise from system-environment interactions |
we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born | stars | massive stars | we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born stars and accreted |
the recently proposed core-kg framework addresses these limitations by integrating a type-aware | coreference | coreference resolution | the recently proposed core-kg framework addresses these limitations by integrating a type-aware coreference module and domain-guided structured prompts significantly reducing node duplication and legal noise |
we evaluate 15 foundation models across 79 problems spanning eight academic | domains | world models | we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics biology statistics calculus and optimization through three experimental phases 1 baseline establishment six models mixtral-8x7b phi-3 llama 3 |
wigner negativity and genuine multipartite entanglement gme are key nonclassical | resources | entanglement entropy | wigner negativity and genuine multipartite entanglement gme are key nonclassical resources that enable computational advantages and broader quantum-information tasks |
optimization methods that make use of derivatives of the objective function up to order p 2 are called | tensor | tensor product | optimization methods that make use of derivatives of the objective function up to order p 2 are called tensor methods |
giving humans an ai fact-verification assistant further improves their accuracy but the type of | assistance | ai assistance | giving humans an ai fact-verification assistant further improves their accuracy but the type of assistance matters |
this theory further promotes nonlinear transport as a probe of geometric effects and phase transitions in | quantum | quantum technologies | this theory further promotes nonlinear transport as a probe of geometric effects and phase transitions in quantum materials |
viruses are microscopic infectious agents that require a | host | infectious individuals | viruses are microscopic infectious agents that require a host cell for replication |
variational quantum algorithms vqas face an inherent trade-off between expressivity and trainability deeper circuits can represent richer | states | quantum advantage | variational quantum algorithms vqas face an inherent trade-off between expressivity and trainability deeper circuits can represent richer states but suffer from noise accumulation and barren plateaus while shallow circuits remain trainable and implementable but lack expressive power |
evaluating policy effects under network interference without network information a transfer | learning | policy learning | evaluating policy effects under network interference without network information a transfer learning approach |
this approach also learns the joint distribution between spatial and non-spatial features exploiting | spatial | local gaussian correlation | this approach also learns the joint distribution between spatial and non-spatial features exploiting spatial autocorrelations |
our comprehensive evaluation of open-weight and proprietary reasoning and non-reasoning | vlms | models vlms | our comprehensive evaluation of open-weight and proprietary reasoning and non-reasoning vlms reveals that most models perform near chance and even the best lag far behind human accuracy on physically irreversible processes e |
variational mean field approximations tend to struggle with contemporary overparametrized | deep | deep learning | variational mean field approximations tend to struggle with contemporary overparametrized deep neural networks |
it groups low-level perceptual features into high-level object representations stores those objects efficiently and compositionally in memory and supports human | reasoning | human cognition | it groups low-level perceptual features into high-level object representations stores those objects efficiently and compositionally in memory and supports human reasoning about individual object instances |
identification and debiased learning of causal effects with | general | debiased machine learning | identification and debiased learning of causal effects with general instrumental variables |
high-speed generation processing and detection of polarization bell-states is therefore critical for | quantum | quantum dot | high-speed generation processing and detection of polarization bell-states is therefore critical for quantum technology |
furthermore this approach is generalizable beyond preference-based feedback to general types of reward signals and | loss | loss functions | furthermore this approach is generalizable beyond preference-based feedback to general types of reward signals and loss functions |
the resulting synthetic corpus is used for continual pretraining with an interleaved | curriculum | reasoning curriculum | the resulting synthetic corpus is used for continual pretraining with an interleaved curriculum schedule aligning learning across both content and cognitive dimensions |
the proposed approach integrates pre-trained vision | transformers | vision transformers | the proposed approach integrates pre-trained vision transformers and large language models to align visual semantics with natural language descriptions enhancing contextual comprehension |
finally we demonstrate how this could be used in the field by having a | robot | mobile robots | finally we demonstrate how this could be used in the field by having a robot attempt a gap-crossing task with and without inflating its actuators |
overall our model provides a framework for investigating the importance of cognitive and | social | human disturbance | overall our model provides a framework for investigating the importance of cognitive and social structures in determining human-environment dynamics |
joint uplink and downlink resource allocation and antenna activation for pinching | antenna | uplink communication | joint uplink and downlink resource allocation and antenna activation for pinching antenna systems |
our work provides a scalable method to overcome a measurement bottleneck in | cognitive | cognitive science | our work provides a scalable method to overcome a measurement bottleneck in cognitive science and demonstrates that foundation models can learn a representational geometry that is functionally relevant for modeling key aspects of human cognition such as categorization |
many believe that intracortical axons conduct | signals | brain decoding | many believe that intracortical axons conduct signals too slowly to bring the contextual information from receptive fields of other neurons |
communication impact is quantied by a capacity-motivated lower bound obtained from the linear minimum mean-squared error | error | signal-to-noise ratio | communication impact is quantied by a capacity-motivated lower bound obtained from the linear minimum mean-squared error error covariance with a mismatched channel estimate |
the calibration method the plate design the mathematical description of the error system as well as the identification of the parameters are | described | calibration plate | the calibration method the plate design the mathematical description of the error system as well as the identification of the parameters are described in detail |
this study not only enriches the theoretical framework of evolutionary game theory but also provides a foundation for the management of ecological | systems | collective systems | this study not only enriches the theoretical framework of evolutionary game theory but also provides a foundation for the management of ecological systems and the design of cooperative mechanisms in society |
exogenous processes -- that affect the individual and are not derived from social | interactions | collective systems | exogenous processes -- that affect the individual and are not derived from social interactions -- even if unbiased have a role in supporting cooperation over defection and this role has been largely overlooked in the context of network-based interactions |
we then discuss how the geometric primitives naturally embed nullspace structures into the | controllers | optimal control | we then discuss how the geometric primitives naturally embed nullspace structures into the controllers that can be exploited for introducing secondary control objectives |
our initial approach uses solve_bvp to approximate optimal | control | linear control | our initial approach uses solve_bvp to approximate optimal control trajectories |
these findings highlight the potential of shared control strategies to balance | stability | control strategy | these findings highlight the potential of shared control strategies to balance stability efficiency and driver acceptance |
here we introduce the geohabnet r package which evaluates the potential importance of locations for the spread of | species | ecological interactions | here we introduce the geohabnet r package which evaluates the potential importance of locations for the spread of species through habitat landscapes |
for instances with more than 100 jobs exact methods such as mip and dynamic | programming | efficiently solving | for instances with more than 100 jobs exact methods such as mip and dynamic programming become computationally intractable |
however theoretical studies often rely on simplified | architectures | theoretical findings | however theoretical studies often rely on simplified architectures e |
gradient flow sampler-based distributionally | robust | gradient flow | gradient flow sampler-based distributionally robust optimization |
with enough data optimal performance is attained through model s specialisation towards the target but it can be hard to reach for training algorithms which get attracted by sub-optimal | solutions | reinforcement learning | with enough data optimal performance is attained through model s specialisation towards the target but it can be hard to reach for training algorithms which get attracted by sub-optimal solutions predicted by the theory |
8 probability that arbitrarily advanced technology could induce vacuum decay if our | vacuum | vacuum metastable | 8 probability that arbitrarily advanced technology could induce vacuum decay if our vacuum is metastable |
large language models llms are widely used in generative | applications | llm agents | large language models llms are widely used in generative applications such as chatting code generation and reasoning |
we study a coordinated multi-point comp transmission where two | base | base station | we study a coordinated multi-point comp transmission where two base stations bss each supported by a pinching antenna system pass are deployed to jointly serve communication users under spatial division multiple access sdma technology |
we benchmark the method using mock datasets representative of high-galactic-latitude regions incorporating realistic | gaia | galactic disk | we benchmark the method using mock datasets representative of high-galactic-latitude regions incorporating realistic gaia parallax uncertainties and polarization expected from the upcoming pasiphae survey |
in this paper we systematically evaluate llms reasoning | capabilities | reasoning capabilities | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
in third-order nonlinear transport a voltage can be measured in response to the cube of a driving current as a result of the quantum | geometric | third-order nonlinear | in third-order nonlinear transport a voltage can be measured in response to the cube of a driving current as a result of the quantum geometric effects which has attracted tremendous attention |
the retrieved complex refractive index reveals distinct | modes | waveguide modes | the retrieved complex refractive index reveals distinct modes at 0 |
here we propose an expression of mathcal r_0 in the context of | multiplex | multiplex networks | here we propose an expression of mathcal r_0 in the context of multiplex networks enabling the analysis of disease transmission across multiple social layers |
there are two major approaches in policy learning the empirical | welfare | policy learning | there are two major approaches in policy learning the empirical welfare maximization ewm approach and the plug-in approach |
classical approaches to sample selection rely on strong parametric distributional | assumptions | nonparametric identification | classical approaches to sample selection rely on strong parametric distributional assumptions which may be restrictive in practice |
we investigate the thermal evolution of 3i atlas the third macroscopic | interstellar | dwarf galaxies | we investigate the thermal evolution of 3i atlas the third macroscopic interstellar object discovered on 2025 july 1 |
in this study we first prove that the density-ratio | estimation | density ratio | in this study we first prove that the density-ratio estimation method proposed in lin et al |
participants in our study n 13 found the system highly immersive and engaging with narrator and audio most impactful while also highlighting areas for improvement in latency and | image | user experience | participants in our study n 13 found the system highly immersive and engaging with narrator and audio most impactful while also highlighting areas for improvement in latency and image resolution |
efficiency without cognitive change evidence from human interaction with | narrow | task performance | efficiency without cognitive change evidence from human interaction with narrow ai systems |
we demonstrate the practical value of our approach through applications across economics biology and machine | learning | machine learning | we demonstrate the practical value of our approach through applications across economics biology and machine learning benchmarks |
to enhance efficiency we further develop vimogen-light a distilled variant that eliminates video | generation | image generation | to enhance efficiency we further develop vimogen-light a distilled variant that eliminates video generation dependencies while preserving strong generalization |
inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised | predictive | brain decoding | inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised predictive coding modules into meta-rl can facilitate learning of bayes-optimal representations |
we evaluate the model in simulation with up to 14 | qubits | qubit readout | we evaluate the model in simulation with up to 14 qubits on sentiment analysis mnist permuted mnist copying memory and language modeling adopting projective measurements as a limiting case to obtain mid-circuit readouts while maintaining a coherent recurrent quantum memory |
smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion | rate | stellar population | smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion rate at each redshift from the empirical eddington ratio distributions and duty cycles |
through comprehensive experimentation across six diverse tasks and utilizing six distinct | llms | models llms | through comprehensive experimentation across six diverse tasks and utilizing six distinct llms our methodology demonstrates remarkable results achieving speeds up to 5 |
this result means that fast transport particularly in dense clumps is necessary for simulations to agree with the dearth of observations of | gamma | gamma -ray | this result means that fast transport particularly in dense clumps is necessary for simulations to agree with the dearth of observations of gamma -ray emission from diffuse gas like the cgm and icm |
notably under a similar performance guarantee as in our | tree | tree edit distance | notably under a similar performance guarantee as in our tree embedding algorithms i |
finally we focus on polyhedral norms and show that normal | curves | normal curves | finally we focus on polyhedral norms and show that normal curves have controls that locally take values in a single face of a sphere with respect to the norm |
while modern large language models llms are increasingly used to model neural responses to | language | recurrent neural networks | 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 |
we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between | chemical | star formation | we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between chemical and physical parameters |
yet robust decisions under uncertainty still rely on capabilities that | current | ai systems | yet robust decisions under uncertainty still rely on capabilities that current ai lacks domain knowledge not captured by data long horizon context and reasoning grounded in the physical world |
we evaluate the method in simulated 2d environments with varying road capacities and | traffic | autonomous driving | we evaluate the method in simulated 2d environments with varying road capacities and traffic conditions demonstrating high task completion rates and robust behavior even under congestion |
however many existing methods suffer from premature convergence limited exploration and performance degradation in | large-scale | efficiently solving | however many existing methods suffer from premature convergence limited exploration and performance degradation in large-scale search spaces |
our work identifies how enhanced coulomb interactions in two dimensions can stabilize this phase at significantly higher temperatures proposing | promising | quantum materials | our work identifies how enhanced coulomb interactions in two dimensions can stabilize this phase at significantly higher temperatures proposing promising material candidates for observing these collective states |
this resolution allows us to perform the first star-by-star galaxy | simulation | host galaxy | this resolution allows us to perform the first star-by-star galaxy simulation which resolves individual stars in the milky way galaxy |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | stellar mass function | 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 |
planning is a critical component of end-to-end | autonomous | autonomous driving | planning is a critical component of end-to-end autonomous driving |
in this paper we systematically evaluate llms reasoning | capabilities | reasoning tasks | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
allowing the order of quantum operations to exist in superposition is known to | open | quantum networks | allowing the order of quantum operations to exist in superposition is known to open new routes for thermodynamic tasks |
to formalize this we extend the concept of data informativity by requiring the existence of a controller that stabilizes all systems consistent with the data and the | prior | prior knowledge | to formalize this we extend the concept of data informativity by requiring the existence of a controller that stabilizes all systems consistent with the data and the prior knowledge |
understanding how the human brain progresses from processing simple linguistic inputs to performing high-level | reasoning | human cognition | understanding how the human brain progresses from processing simple linguistic inputs to performing high-level reasoning is a fundamental challenge in neuroscience |
inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised | predictive | recurrent neural | inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised predictive coding modules into meta-rl can facilitate learning of bayes-optimal representations |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.