prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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mightee-hi the hi mass-stellar mass relation of massive galaxies and the | hi | black hole mass | mightee-hi the hi mass-stellar mass relation of massive galaxies and the hi mass function at 0 |
we show the convergence of treehfd along with the main properties of orthogonality sparsity and causal | variable | variable selection | we show the convergence of treehfd along with the main properties of orthogonality sparsity and causal variable selection |
generative artificial intelligence genai can aid | humans | ai agents | generative artificial intelligence genai can aid humans in a wide range of tasks but its effectiveness critically depends on users being able to evaluate the accuracy of genai outputs and their own expertise |
when a high level decision making agent generates a collision free path a | robust | predictive control | when a high level decision making agent generates a collision free path a robust low level controller is required to precisely follow this trajectory |
the dataset is carefully constructed with temporal splits comprehensive features and strict leakage prevention to support realistic and reproducible | machine | machine learning | the dataset is carefully constructed with temporal splits comprehensive features and strict leakage prevention to support realistic and reproducible machine learning evaluation |
we provide theoretical results for the estimation and inference of a class of welfare and value functionals of the nonparametric conditional | average | average treatment effect | we provide theoretical results for the estimation and inference of a class of welfare and value functionals of the nonparametric conditional average treatment effect cate function under optimal treatment assignment i |
we thus suggest a sparsely interacting collective of cross-supervising networks as an | algorithmic | mutual information | we thus suggest a sparsely interacting collective of cross-supervising networks as an algorithmic framework for representational learning and collective computation in the brain |
we argue that such abstraction leads to oversimplification of reasoning methodologies from nlp ml and results in a distortion of | llms | llm reasoning | we argue that such abstraction leads to oversimplification of reasoning methodologies from nlp ml and results in a distortion of llms empirically studied capabilities and un known limitations |
in this latter case the best known algorithm due to azar and jacob-fanani has competitiveness mathcal o | m | -time algorithm | in this latter case the best known algorithm due to azar and jacob-fanani has competitiveness mathcal o m 0 |
particularly we design an additional control input using | reinforcement | deep reinforcement learning | particularly we design an additional control input using reinforcement learning rl to be applied to the vehicle powertrain along with the input commanded by the battery |
specifically we propose an approach in which an overview of | pragmatic | natural language | specifically we propose an approach in which an overview of pragmatic theories such as gricean pragmatics and relevance theory is presented as a prompt to the language model guiding it through a step-by-step reasoning process to derive a final interpretation |
normative reasoning in large language models a comparative benchmark from | logical | normative reasoning | normative reasoning in large language models a comparative benchmark from logical and modal perspectives |
we show that this same scaling relation applies to the recent muse hst catalog for 19 | nearby | active galactic | we show that this same scaling relation applies to the recent muse hst catalog for 19 nearby galaxies |
we investigate the connection between accretion signatures and host galaxy properties in the context of how | active | quiescent galaxies | we investigate the connection between accretion signatures and host galaxy properties in the context of how active dwarf galaxies are identified |
to resolve the dilemma we propose pvmark a plugin based on zero-knowledge proof zkp enabling the watermark | detection | watermarking schemes | to resolve the dilemma we propose pvmark a plugin based on zero-knowledge proof zkp enabling the watermark detection process to be publicly verifiable by third parties without disclosing any secret key |
robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine | safe | collision avoidance | robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine safe actions |
extensive experiments demonstrate that our approach achieves strong performance on multiple domains in m 6 doc dataset substantially surpassing both existing | layout | layout generation | extensive experiments demonstrate that our approach achieves strong performance on multiple domains in m 6 doc dataset substantially surpassing both existing layout generation experts and several latest general-purpose llms |
this note introduces a unified theory for causal inference that integrates | riesz | riesz regression | this note introduces a unified theory for causal inference that integrates riesz regression covariate balancing density-ratio estimation dre targeted maximum likelihood estimation tmle and the matching estimator in average treatment effect ate estimation |
for example convolutional neural networks are able to achieve remarkable image classification accuracy across a | wide | deep learning | for example convolutional neural networks are able to achieve remarkable image classification accuracy across a wide range of applications in industry defense and other areas |
taken together our study revealed a novel difference of functional property in response to task performance in the sensorimotor | areas | task performance | taken together our study revealed a novel difference of functional property in response to task performance in the sensorimotor areas versus the association areas |
we refer to this riesz representer estimation as generalized | riesz | riesz representer | we refer to this riesz representer estimation as generalized riesz regression |
this combined approach of pmma encapsulation and xef2-assisted fib patterning offers a robust cost-effective and scalable single-step fabrication route for integrating 2d tmdcs into high-performance | photonic | integrated photonics | this combined approach of pmma encapsulation and xef2-assisted fib patterning offers a robust cost-effective and scalable single-step fabrication route for integrating 2d tmdcs into high-performance photonic devices thereby maintaining their intrinsic optical functionality essential for advancing quantum technologies and compact optical circuits |
such measurements are frequently performed with readouts common in circuit cavity quantum electrodynamic systems trapped | ions | trapped ions | such measurements are frequently performed with readouts common in circuit cavity quantum electrodynamic systems trapped ions and atoms and circuit quantum acoustodynamic systems |
simulation results and data analysis on handwritten digit | datasets | real-world datasets | simulation results and data analysis on handwritten digit datasets demonstrate the effectiveness of our method |
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding | fmri | human brain | however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding fmri representations under the supervision of images |
this work provides new insights into the quantum behavior of hydrogen under extreme mechanochemical confinement and establishes hydrogen-filled ices as a promising platform for the design of hydrogen-rich | quantum | quantum materials | this work provides new insights into the quantum behavior of hydrogen under extreme mechanochemical confinement and establishes hydrogen-filled ices as a promising platform for the design of hydrogen-rich quantum materials |
we find that lupus has a non-uniform i_ rm mag distribution and suggest that this results from the preferential elongation of protostellar | cores | star-forming region | we find that lupus has a non-uniform i_ rm mag distribution and suggest that this results from the preferential elongation of protostellar cores along filamentary axes |
in this work we present a sliding-window filter swf for continuous-time state | estimation | state estimation | in this work we present a sliding-window filter swf for continuous-time state estimation of crs that improves upon the accuracy of a filter approach while enabling continuous-time methods to operate online all while running at faster-than-real-time speeds |
this paper presents an agentic ai hems where llms autonomously coordinate multi-appliance scheduling from natural language requests to device control achieving optimal | scheduling | artificial intelligence | this paper presents an agentic ai hems where llms autonomously coordinate multi-appliance scheduling from natural language requests to device control achieving optimal scheduling without example demonstrations |
while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative | reasoning | large language models llms | while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning remains underexplored |
this work offers insights for optimizing agn light | curves | light curves | this work offers insights for optimizing agn light curves in both current and upcoming all-sky time-domain surveys |
importantly although our approach relies on regression our design-based framework allows for misspecification of the | regression | regression function | importantly although our approach relies on regression our design-based framework allows for misspecification of the regression model |
this observation reduces irl to two off-the-shelf supervised learning problems probabilistic classification to estimate the behavior | policy | policy learning | this observation reduces irl to two off-the-shelf supervised learning problems probabilistic classification to estimate the behavior policy and iterative regression to solve the fixed point |
however the survey revealed substantial disagreement among respondents on both whether the vacuum is metastable and if it is whether | vacuum | vacuum decay | however the survey revealed substantial disagreement among respondents on both whether the vacuum is metastable and if it is whether vacuum decay could be artificially induced with arbitrarily advanced technology |
using these benchmarks researchers have found that | llms | models llms | using these benchmarks researchers have found that llms sometimes fail to keep secrets private when responding to complex tasks e |
we find that dwarf agn selected by infrared colors are the most distinct | population | stellar population | we find that dwarf agn selected by infrared colors are the most distinct population with the highest star formation rates and lowest stellar masses |
pinpointing image regions triggering failure detections can provide | cues | incident detection | pinpointing image regions triggering failure detections can provide cues to guide recovery |
no scenario shows a stop or a reversal in the decline in abundance of bird and | butterfly | butterfly species | no scenario shows a stop or a reversal in the decline in abundance of bird and butterfly species that are currently common on the time scale considered |
suturing skill varies widely between surgeons highlighting the need for | robot | robotic manipulation | suturing skill varies widely between surgeons highlighting the need for robot assistance |
in pattern matching with weighted edits pmwed we are given a | pattern | pattern matching | in pattern matching with weighted edits pmwed we are given a pattern p of length m a text t of length n a positive threshold k and oracle access to a weight function that specifies the costs of edits depending on the involved characters and normalized so that the cost of each edit is at least 1 |
while our new model shows strong electricity | transmission | electricity demand | while our new model shows strong electricity transmission grid development total expansion is one third lower than in the national grid development plan lowering costs by 92 billion eur _ 2020 to 191 billion eur _ 2020 and average grid tariffs by 7 |
my research in building a well-designed ar stage features avatars and | interactive | user experience | 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 |
we obtain three main results a a conceptually simple tilde o nk -time algorithm for pmwed very different from that of landau and vishkin for pmed b a significantly more complicated | tilde | time complexity | we obtain three main results a a conceptually simple tilde o nk -time algorithm for pmwed very different from that of landau and vishkin for pmed b a significantly more complicated tilde o n k 3 |
quantum enhanced dark-matter search with entangled fock | states | quantum algorithm | quantum enhanced dark-matter search with entangled fock states in high-quality cavities |
this paper aims to address these challenges by revisiting and modifying classical rl approaches to efficiently operate in | sparse | sparse autoencoders | this paper aims to address these challenges by revisiting and modifying classical rl approaches to efficiently operate in sparse randomized and nonstationary environments |
we demonstrate the proposed method by employing | simulation | simulation studies | we demonstrate the proposed method by employing simulation studies and analyzing real data from the job training partnership act program |
in this paper we propose a method for correcting sample selection | bias | bias-correction term | in this paper we propose a method for correcting sample selection bias when the outcome of interest is categorical such as occupational choice health status or field of study |
accelerating real-world overtaking in f1tenth | racing | collision avoidance | accelerating real-world overtaking in f1tenth racing employing reinforcement learning methods |
the main outcome of this research is the final configuration of the amd | detection | rgb fundus | the main outcome of this research is the final configuration of the amd detection framework which outperforms all the prior adam challenge submissions on the multi-class segmentation of different amd lesion types in non-invasive rgb fundus images |
we find a relation between narrower degree distributions and longer loops in investigating the lengths of the shortest loops in various networks with continuously changing | degree | degree distributions | we find a relation between narrower degree distributions and longer loops in investigating the lengths of the shortest loops in various networks with continuously changing degree distributions including three typical types of realistic scale-free networks classical erd os-r enyi random graphs and regular networks |
further enhancement of the breakdown voltage was achieved by tunneling leakage management using composite pt cap ptox | pt | breakdown voltage | further enhancement of the breakdown voltage was achieved by tunneling leakage management using composite pt cap ptox pt 1 |
hierarchical structures of motion exist across research fields including computer vision graphics and robotics where complex dynamics typically arise from coordinated interactions among simpler | motion | optical flow | hierarchical structures of motion exist across research fields including computer vision graphics and robotics where complex dynamics typically arise from coordinated interactions among simpler motion components |
we also show a robotics grasp application that enables dexterous grasps execution from imitation | learning | imitation learning | we also show a robotics grasp application that enables dexterous grasps execution from imitation learning using the manipulation sequence provided by our synhlma |
minimizing point configurations for tensor | product | tensor product | minimizing point configurations for tensor product energies on the torus |
most of the o vi surface brightness originates from collisionally | ionized | vi emission | most of the o vi surface brightness originates from collisionally ionized t sim10 5 |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | star-forming region | 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 |
adapting large language models llms via reinforcement learning | rl | reinforcement learning | adapting large language models llms via reinforcement learning rl is often bottlenecked by the generation stage which can consume over 75 of the training time |
we investigate the chemical content of 22 well-studied massive | protostars | bulge stars | 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 |
tracing gas kinematics and interactions between h ii regions and | molecular | molecular gas | tracing gas kinematics and interactions between h ii regions and molecular clouds using vla observations of recombination lines and hydroxyl |
the combination of high accuracy robustness to interference and computational efficiency makes our framework highly suitable for real-time on-device deployment in edge devices paving the way for more intelligent and reliable | wireless | wireless networks | the combination of high accuracy robustness to interference and computational efficiency makes our framework highly suitable for real-time on-device deployment in edge devices paving the way for more intelligent and reliable wireless communication systems |
the sustainability of supply chain plays a key role in achieving optimal performance in controlling the | supply | supply chain | the sustainability of supply chain plays a key role in achieving optimal performance in controlling the supply chain |
we refer to this riesz representer estimation as generalized | riesz | riesz regression | we refer to this riesz representer estimation as generalized riesz regression |
the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text polylog u -- but in exchange for these the | tree | spanning trees | the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text polylog u -- but in exchange for these the tree is able to achieve a remarkable space guarantee |
flow trajectories are mapped to and constrained to traverse the equilibrium states of the | simulated | simulation studies | flow trajectories are mapped to and constrained to traverse the equilibrium states of the simulated physical process |
in this work we aim to explain this conflict by | exploring | language agents | in this work we aim to explain this conflict by exploring how language models manipulate numbers and quantify the lower bounds of accuracy of these mechanisms |
the framework provides practical tools for detecting when localized treatments become systemic and | identifying | spatial treatment | the framework provides practical tools for detecting when localized treatments become systemic and identifying critical thresholds for policy intervention |
this unified framework naturally reproduces the observed evolution of luminosity the core mass function the mass growth of the most massive protostars and the | dense | stellar population | this unified framework naturally reproduces the observed evolution of luminosity the core mass function the mass growth of the most massive protostars and the dense gas star formation law on clump scales establishing a coherent picture of accelerating star formation across scales |
in control problems and basic scientific modeling it is important to compare observations with | dynamical | dynamical systems | in control problems and basic scientific modeling it is important to compare observations with dynamical simulations |
the integration of non-linear link functions enhances model flexibility capturing the | non-linear | non-linear link | the integration of non-linear link functions enhances model flexibility capturing the non-linear nature of traffic extremes |
neural networks nns offer fast surrogates yet their | black-box | deep neural | neural networks nns offer fast surrogates yet their black-box behavior raises concerns about constraint violations that can compromise safety |
this study introduces a two-dimensional opinion model that classifies | voters | swing voters | this study introduces a two-dimensional opinion model that classifies voters into five groups enabling precise characterization of the swing group s interactive behaviors |
to answer this question we introduce latency-constrained games a mathematical framework that extends | nonlocal | network nonlocality | to answer this question we introduce latency-constrained games a mathematical framework that extends nonlocal games to the setting where a subset of parties can communicate |
geohabnet provides a quick open-source and reproducible baseline to quantify a species habitat connectivity across a wide range of geographic scales and evaluates potential scenarios for the expansion of a | species | ecological interactions | geohabnet provides a quick open-source and reproducible baseline to quantify a species habitat connectivity across a wide range of geographic scales and evaluates potential scenarios for the expansion of a species through habitat landscapes |
we provide theoretical convergence rate guarantees for general estimators based on m-estimator theory as well as the | convergence | convergence rate | we provide theoretical convergence rate guarantees for general estimators based on m-estimator theory as well as the convergence rates of neural network-based estimators when the true ratio is in the anisotropic besov space |
the magnitude of strain and the associated increase in the | density | strain engineering | the magnitude of strain and the associated increase in the density of states can be tuned by varying the film thickness as systematically confirmed by x-ray diffraction and photoemission spectroscopy measurements |
moreover to alleviate the throughput degradation under the congested user traffic a | user | heterogeneous traffic | moreover to alleviate the throughput degradation under the congested user traffic a user barring mechanism is introduced to manage the traffic load |
joint encoding of what and when predictions through error-modulated plasticity in reservoir | spiking | spike train | joint encoding of what and when predictions through error-modulated plasticity in reservoir spiking networks |
in fact a linear control system has bounded positive | orbits | linear control | in fact a linear control system has bounded positive orbits if and only if it can be decomposed as the product of the stable and central subgroups of the drift with the central subgroup being compact |
most counterfactual inference frameworks traditionally assume acyclic structural | causal | causal inference | most counterfactual inference frameworks traditionally assume acyclic structural causal models scms i |
a weighted sum of two conflicting objectives | energy | energy consumption | a weighted sum of two conflicting objectives energy consumption and travel time is minimized |
detecting the use of generative ai in crowdsourced surveys implications for | data | ai agents | detecting the use of generative ai in crowdsourced surveys implications for data integrity |
to overcome this challenge we propose corvs a novel data-driven person identification method based on correspondence between visual | tracking | point tracking | to overcome this challenge we propose corvs a novel data-driven person identification method based on correspondence between visual tracking trajectories and sensor measurements |
extensive simulations demonstrate that the proposed method achieves near-optimal performance with very few | pilots | pilot overhead | extensive simulations demonstrate that the proposed method achieves near-optimal performance with very few pilots compared to non-parametric approaches |
a persistent challenge however is maintaining robust target | tracking | multi-goal visual | a persistent challenge however is maintaining robust target tracking under partial or full occlusions |
further extensions include gepoc abm im which adds internal migration processes in three variants and | gepoc | gepoc abm | further extensions include gepoc abm im which adds internal migration processes in three variants and gepoc abm cl which models locations where agents may have contacts with each other |
where galaxies go to die the environments of massive | quiescent | dark matter | where galaxies go to die the environments of massive quiescent galaxies at 3 z 5 |
simulation experiments are also carried out to | illustrate | numerical experiments | simulation experiments are also carried out to illustrate the framework |
traditional reachability methods provide formal guarantees of | safety | collision avoidance | traditional reachability methods provide formal guarantees of safety under bounded disturbances |
through controlled experiments we show this | advantage | superior performance | through controlled experiments we show this advantage stems not from increased knowledge capacity but from superior knowledge manipulation capabilities |
overall higher immersion enhanced self-presence but not | physical | virtual reality | overall higher immersion enhanced self-presence but not physical presence while accuracy and speed improved over time irrespective of immersion |
training support vector machines svms can be formulated as a qubo | problem | machine learning | training support vector machines svms can be formulated as a qubo problem enabling the use of quantum annealing for model optimization |
estimating optimal dynamic treatment regimes via sequential randomized trials might face | costly | average treatment | estimating optimal dynamic treatment regimes via sequential randomized trials might face costly and ethical hurdles often necessitating the use of historical observational data |
duality-based fixed point iteration algorithm for | beamforming | beamforming design | duality-based fixed point iteration algorithm for beamforming design in isac systems |
linear-quadratic zero-sum stochastic differential game with | partial | optimal control | linear-quadratic zero-sum stochastic differential game with partial observation |
these findings highlight challenges in achieving logical consistency in llms | normative | reasoning curriculum | these findings highlight challenges in achieving logical consistency in llms normative reasoning and provide insights for enhancing their reliability |
the main ideas behind a research plan to use the wigner formulation as a bridge between classical and quantum probabilistic algorithms are presented focusing on a particular case the quantum analog of stochastic gradient descent in its continuous-time limit based on the | wigner | wigner negativity | the main ideas behind a research plan to use the wigner formulation as a bridge between classical and quantum probabilistic algorithms are presented focusing on a particular case the quantum analog of stochastic gradient descent in its continuous-time limit based on the wigner formulation of open quantum systems |
the model which is built extending the classical susceptible-infected-susceptible model accounts for two populations -- humans and vectors -- and for cross-contagion between the two species whereby humans become infected upon interaction with carrier vectors and vectors become carriers after interaction with | infected | disease transmission | the model which is built extending the classical susceptible-infected-susceptible model accounts for two populations -- humans and vectors -- and for cross-contagion between the two species whereby humans become infected upon interaction with carrier vectors and vectors become carriers after interaction with infected humans |
the model which is built extending the classical susceptible-infected-susceptible model accounts for two populations -- humans and vectors -- and for cross-contagion between the two species whereby humans become infected upon interaction with carrier vectors and vectors become carriers after interaction with | infected | viral replication | the model which is built extending the classical susceptible-infected-susceptible model accounts for two populations -- humans and vectors -- and for cross-contagion between the two species whereby humans become infected upon interaction with carrier vectors and vectors become carriers after interaction with infected humans |
5 is further post-trained with large-scale reinforcement learning to enhance multimodal | reasoning | multimodal reasoning | 5 is further post-trained with large-scale reinforcement learning to enhance multimodal reasoning and generation |
we propose several setups for hierarchical control with options and derive practical algorithms following state-of-the-art | reinforcement | deep reinforcement learning | we propose several setups for hierarchical control with options and derive practical algorithms following state-of-the-art reinforcement learning techniques |
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