prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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despite explicit instructions and contextual information our results show that models | perform | vision-language models | despite explicit instructions and contextual information our results show that models perform poorly in distinguishing loanwords from native ones |
towards that direction this paper studies the performance of time series | classification | support vector machines | towards that direction this paper studies the performance of time series classification methods used as model selection for anomaly detection |
with the current progress of artificial intelligence ai technology and its increasingly broader applications | trust | trustworthy ai | with the current progress of artificial intelligence ai technology and its increasingly broader applications trust is seen as a required criterion for ai usage acceptance and deployment |
together these findings advance understanding of how density and urbanisation shape accident | risk | crash risk | together these findings advance understanding of how density and urbanisation shape accident risk and provide evidence to support more targeted road safety interventions and policy planning |
across prediction horizons several deep learning models consistently outperformed classical | approaches | deep learning | across prediction horizons several deep learning models consistently outperformed classical approaches with the best model producing informative forecasts up to 1 |
while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning | remains | language models | while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning remains underexplored |
moreover real-world preference learning often involves users with | different | preference optimization | moreover real-world preference learning often involves users with different preferences |
to build the controller we first define tracking errors between the measured and desired | quadrotor | disturbance observer | to build the controller we first define tracking errors between the measured and desired quadrotor outputs which allow the system to be rewritten in a new set of state variables |
878 and used 78 percent fewer tokens than wide | context | context engineering | 878 and used 78 percent fewer tokens than wide context processing |
asymmetric outcomes in two-actor conflict dynamics stability bifurcations and | emergent | emergent behaviors | asymmetric outcomes in two-actor conflict dynamics stability bifurcations and emergent behaviors |
reducing base drag on road vehicles using pulsed jets optimized by hybrid | genetic | genetic algorithm | reducing base drag on road vehicles using pulsed jets optimized by hybrid genetic algorithms |
higher-order hypergraph learning hohl was recently introduced as a principled alternative to classical hypergraph regularization enforcing | higher-order | graph neural | higher-order hypergraph learning hohl was recently introduced as a principled alternative to classical hypergraph regularization enforcing higher-order smoothness via powers of multiscale laplacians induced by the hypergraph structure |
never too rigid to reach adaptive virtual model control with llm- and lyapunov-based | reinforcement | deep reinforcement learning | never too rigid to reach adaptive virtual model control with llm- and lyapunov-based reinforcement learning |
for example comparing two neural systems can shed light on the nature of emergent | computations | neural codes | for example comparing two neural systems can shed light on the nature of emergent computations in the brain and deep neural networks |
a single-loop first-order algorithm for linearly constrained | bilevel | optimization problem | a single-loop first-order algorithm for linearly constrained bilevel optimization |
this is the first evidence connecting the complexity of 2d | compressed | compressed indexing | this is the first evidence connecting the complexity of 2d compressed indexing to long-standing open problems in the 1d setting |
current slt evaluation metrics such as bleu and rouge are only text-based and it remains unclear to what extent text-based | metrics | evaluation metrics | current slt evaluation metrics such as bleu and rouge are only text-based and it remains unclear to what extent text-based metrics can reliably capture the quality of slt outputs |
diverse emission patterns from precessing super-eddington disks formed in | tidal | tidal disruption | diverse emission patterns from precessing super-eddington disks formed in tidal disruption events |
evaluated on a comprehensive dataset from the canadian prairies cypress demonstrates superior performance over existing deep learning-based | yield | yield prediction | evaluated on a comprehensive dataset from the canadian prairies cypress demonstrates superior performance over existing deep learning-based yield prediction models highlighting the effectiveness of fine-tuning foundation models for specialized agricultural applications |
enhancing the reachability of variational quantum | algorithms | quantum dot | enhancing the reachability of variational quantum algorithms via input-state design |
this paper extends this theoretical framework to the multiobjective setting focusing on the multiobjective inertial gradient system with asymptotically vanishing damping mavd with alpha 3 and the multiobjective accelerated proximal | gradient | accelerated gradient | this paper extends this theoretical framework to the multiobjective setting focusing on the multiobjective inertial gradient system with asymptotically vanishing damping mavd with alpha 3 and the multiobjective accelerated proximal gradient algorithm mapg |
this flexibility enables detailed studies of orbitaland pseudo spin characteristics in | quantum | quantum materials | this flexibility enables detailed studies of orbitaland pseudo spin characteristics in quantum materials |
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 |
however in data-sensitive fields such as healthcare the lack of high-quality domain-specific training corpus hinders | llms | large language models llms | however in data-sensitive fields such as healthcare the lack of high-quality domain-specific training corpus hinders llms adaptation for specialized applications |
this tradeoff leaves neutral atom systems stuck between slow but accurate | readout | qubit readout | this tradeoff leaves neutral atom systems stuck between slow but accurate readout and fast but unreliable readout |
however existing methods often rely on prior | knowledge | existing methods | however existing methods often rely on prior knowledge of problem parameters-such as smoothness convexity or communication network topologies-to determine appropriate stepsizes |
we show that the rdr as a functional summary of the goodness-of-fit for the | generative | generative models | we show that the rdr as a functional summary of the goodness-of-fit for the generative model possesses several desirable theoretical properties |
to ensure reward fidelity our automated grader calibration pipeline systematically purges noise from the llm-based | reward | reinforcement learning | to ensure reward fidelity our automated grader calibration pipeline systematically purges noise from the llm-based reward model with minimal human supervision |
a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic | obstacles | optimal control | a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic obstacles while also preventing inter-agent collisions in a socially aware manner and reaching the target within a prescribed time |
in this paper we explore a novel joint uplink and | downlink | uplink communication | in this paper we explore a novel joint uplink and downlink framework utilizing a pinching antenna system pass |
in this paper we calculate one-dimensional thermal profiles of the third | interstellar | interstellar medium | in this paper we calculate one-dimensional thermal profiles of the third interstellar object 3i atlas throughout its trajectory in an attempt to gain insight into its bulk properties based on measurements of its volatiles |
multi-dataset joint pre-training of emotional | eeg | brain-computer interface | multi-dataset joint pre-training of emotional eeg enables generalizable affective computing |
state-of-the-art robotic tool usage methods focused on procedurally generating or crowd-sourcing datasets of tools for a | task | tool usage | state-of-the-art robotic tool usage methods focused on procedurally generating or crowd-sourcing datasets of tools for a task to learn how to grasp and manipulate them for that task |
aci advances the detection of instantaneous causal relationships and the intermittent reversal of | causal | causal effects | aci advances the detection of instantaneous causal relationships and the intermittent reversal of causal roles over time |
because observational inputs may be biased in ways unknown ex ante we develop a minimax proportional regret objective that evaluates any candidate design relative to an oracle that knows the bias and jointly chooses the | design | randomized experiments | because observational inputs may be biased in ways unknown ex ante we develop a minimax proportional regret objective that evaluates any candidate design relative to an oracle that knows the bias and jointly chooses the design and estimator |
this paper proposes a structural multivariate unobserved components model with external instrument smuc-iv to investigate the effects of monetary | policy | monetary policy | this paper proposes a structural multivariate unobserved components model with external instrument smuc-iv to investigate the effects of monetary policy shocks on key u |
we first establish nonparametric identification of the att under two minimal sets of | sufficient | nonparametric identification | we first establish nonparametric identification of the att under two minimal sets of sufficient conditions |
we then train a neural network a multilayer perceptron to | predict | neural network | we then train a neural network a multilayer perceptron to predict local curvature from baseline sensor outputs recorded under no applied load achieving an r2 score of 0 |
predicted decline in common bird and butterfly | species | butterfly species | predicted decline in common bird and butterfly species despite conservation policies in europe |
however the fundamental question of emph which problems with a deterministic complexity of | omega | omega log | however the fundamental question of emph which problems with a deterministic complexity of omega log n can be solved exponentially faster using randomization still remains wide open |
certification and classification of linear quantum | error | quantum key distribution | certification and classification of linear quantum error mitigation methods |
with the increasing number of flexible energy devices in distribution grids coordination between transmission system operators tsos and | distribution | power systems | with the increasing number of flexible energy devices in distribution grids coordination between transmission system operators tsos and distribution system operators dsos becomes critical for optimal system operation |
large language models llms have demonstrated exceptional | capabilities | language agents | large language models llms have demonstrated exceptional capabilities across multiple domains by leveraging massive pre-training and curated fine-tuning data |
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large | vision-language | 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 |
we evaluate csi2q on one synthetic csi dataset involving 85 devices and two real | csi | channel state information csi | we evaluate csi2q on one synthetic csi dataset involving 85 devices and two real csi datasets including 10 and 25 wifi routers respectively |
moreover gromov-wasserstein exhibits an almost perfect correlation | rho | gromov-wasserstein distance | moreover gromov-wasserstein exhibits an almost perfect correlation rho 0 |
conventional robots possess a limited understanding of their kinematics and are confined to preprogrammed tasks hindering their ability to leverage | tools | robotic systems | conventional robots possess a limited understanding of their kinematics and are confined to preprogrammed tasks hindering their ability to leverage tools efficiently |
saber symbolic regression-based angle of arrival and | beam | beam pattern | saber symbolic regression-based angle of arrival and beam pattern estimator |
a minimal model of self-organized clusters with phase transitions in | ecological | ecological communities | a minimal model of self-organized clusters with phase transitions in ecological communities |
combined with the distribution of serial intervals or generation times the rate gives | basic | disease transmission | combined with the distribution of serial intervals or generation times the rate gives basic and instantaneous values of the reproduction number that govern development and ultimate outcome of the epidemic |
optimal learning makes this neural fisher information follow a category-specific | fisher | fisher information | optimal learning makes this neural fisher information follow a category-specific fisher information measuring the sensitivity of the category membership |
this dataset establishes a foundation for advancing research in streaming video understanding complex | temporal | action recognition | this dataset establishes a foundation for advancing research in streaming video understanding complex temporal reasoning and multimodal inference |
first we integrate a realistic network formation model where homophily and triadic closure co-evolve with a mean-field model of | opinion | opinion dynamics | first we integrate a realistic network formation model where homophily and triadic closure co-evolve with a mean-field model of opinion expression |
the emergence of extremely large-scale antenna arrays elaa in millimeter-wave mmwave communications particularly in high-mobility scenarios highlights the importance of near-field | beam | near-field beam | the emergence of extremely large-scale antenna arrays elaa in millimeter-wave mmwave communications particularly in high-mobility scenarios highlights the importance of near-field beam prediction |
our method represents observed motions using graph-based hierarchies explicitly decomposing global absolute motions into parent-inherited patterns and local | motion | optical flow | our method represents observed motions using graph-based hierarchies explicitly decomposing global absolute motions into parent-inherited patterns and local motion residuals |
we then provide a taxonomy of linear mitigation methods characterising them by their | features | mitigation methods | we then provide a taxonomy of linear mitigation methods characterising them by their features and requirements |
beam shaping techniques for pulsed laser ablation in | liquids | pulsed laser | beam shaping techniques for pulsed laser ablation in liquids unlocking tunable control of nanoparticle synthesis in liquids |
focusing on scientific topics at the secondary education level we explore the potential of large | language | large language models llms | focusing on scientific topics at the secondary education level we explore the potential of large language models to generate chains of hints that scaffold learners without revealing answers |
our approach bypasses the omega log n barrier introduced by probabilistic metric embeddings instead of analyzing the | embedding | tree embedding | our approach bypasses the omega log n barrier introduced by probabilistic metric embeddings instead of analyzing the embedding distortion and the algorithm separately we directly bound the cost of the algorithm on the target metric of a simple deterministic embedding |
while cave automatic virtual environment cave systems have long enabled room-scale | virtual | physical virtual | while cave automatic virtual environment cave systems have long enabled room-scale virtual reality and various kinds of interactivity their content has largely remained predetermined |
while humans intuitively perform this translation based on common sense and embodied understanding whether large | language | large language models llms | while humans intuitively perform this translation based on common sense and embodied understanding whether large language models llms can effectively replicate this ability remains underexplored |
plugging regression functions estimated by machine | learning | machine learning | plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of first-stage bias |
to address these challenges we propose unifiedfl a dynamic federated learning framework that represents heterogeneous local networks as nodes and edges in a directed model graph optimized by a shared | graph | graph neural | to address these challenges we propose unifiedfl a dynamic federated learning framework that represents heterogeneous local networks as nodes and edges in a directed model graph optimized by a shared graph neural network gnn |
in many real-world scenarios multiple adapters are loaded simultaneously to enable | llm | models llms | in many real-world scenarios multiple adapters are loaded simultaneously to enable llm customization for personalized user experiences or to support a diverse range of tasks |
choosing what to learn experimental design when combining experimental with | observational | randomized experiments | choosing what to learn experimental design when combining experimental with observational evidence |
the accretion is viscosity-limited when q alpha xi 1 mathcal m 2 3 3 1 2 h 3 where q is the mass ratio between the co and the | supermassive | black hole | the accretion is viscosity-limited when q alpha xi 1 mathcal m 2 3 3 1 2 h 3 where q is the mass ratio between the co and the supermassive black hole alpha the viscosity parameter mathcal m the mach number of the bulk relative motion and h the aspect ratio of the agn disc |
riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where | riesz | riesz regression | riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where riesz regression is essentially equivalent to dre in the ate context the matching estimator is a special case of dre and dre is in a dual relationship with covariate balancing |
under exclusion restrictions analogous to those in the lgr model we establish nonparametric point | identification | nonparametric identification | under exclusion restrictions analogous to those in the lgr model we establish nonparametric point identification of the latent categorical distribution |
we find that despite surfacing errors different | language | large language | we find that despite surfacing errors different language models learn interchangeable representations of numbers that are systematic highly accurate and universal across their hidden states and the types of input contexts |
point convergence of nesterov s accelerated | gradient | gradient flow | point convergence of nesterov s accelerated gradient method an ai-assisted proof |
to render the theory practically applicable we further develop an emph online variance estimator for the asymptotic variance appearing in the clt and | establish | central limit theorem | to render the theory practically applicable we further develop an emph online variance estimator for the asymptotic variance appearing in the clt and establish emph high-probability deviation bounds for this estimator |
we find that more massive smbhs have higher surface densities of non-rotating | molecular | dense gas | we find that more massive smbhs have higher surface densities of non-rotating molecular gas within their sphere of influence |
spin systems have emerged as powerful tools for understanding collective phenomena in | complex | complex systems | spin systems have emerged as powerful tools for understanding collective phenomena in complex systems |
in the absence of disturbances we find that standard | inverse | inverse optimal | in the absence of disturbances we find that standard inverse optimal safe controllers have a certain degree of gain margin |
we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ mathrm sfr and specific | sfr | star-forming region | we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ mathrm sfr and specific sfr ssfr |
while demonstrated in orchard monitoring the approach can be applied to other outdoor domains requiring robust | multimodal | computer vision | while demonstrated in orchard monitoring the approach can be applied to other outdoor domains requiring robust multimodal perception |
to explain this surprising redundancy we develop a cross-evaluation protocol in which we apply each linear | decoder | cross dual encoder network | to explain this surprising redundancy we develop a cross-evaluation protocol in which we apply each linear decoder operator to the subjects of every other relation |
during inference slideagent selectively activates specialized | agents | reasoning capabilities | during inference slideagent selectively activates specialized agents for multi-level reasoning and integrates their outputs into coherent context-aware answers |
furthermore we provide several characterizations of this class including nonsmooth and differentiable cases and derive key properties that fa -ci -li -ta -te the implementation of | first-order | zeroth-order methods | furthermore we provide several characterizations of this class including nonsmooth and differentiable cases and derive key properties that fa -ci -li -ta -te the implementation of first-order methods |
purpose medical foundation models fms offer a | path | foundation models | purpose medical foundation models fms offer a path to build high-performance diagnostic systems |
however significant limitations remain mllms generalize poorly across digital-physical spaces and embodiments vision-language-action models vlas produce low-level actions yet lack robust high-level embodied reasoning and most embodied large | language | large language | however significant limitations remain mllms generalize poorly across digital-physical spaces and embodiments vision-language-action models vlas produce low-level actions yet lack robust high-level embodied reasoning and most embodied large language models ellms are constrained to digital-space with poor generalization to the physical world |
using a lantern-inspired flexible electrode we achieve long-term stable recordings and robust memory decision decoding from within the ventricular system opening new directions for | bci | brain-computer interface | using a lantern-inspired flexible electrode we achieve long-term stable recordings and robust memory decision decoding from within the ventricular system opening new directions for bci technology and systems neuroscience |
beating the winner s curse via inference-aware | policy | policy learning | beating the winner s curse via inference-aware policy optimization |
from incremental transitive cover to strongly polynomial | maximum | maximum flow | from incremental transitive cover to strongly polynomial maximum flow |
current tool-use large language models llms are trained on static datasets enabling them to interact with external tools and | perform | open-source models | current tool-use large language models llms are trained on static datasets enabling them to interact with external tools and perform multi-step tool-integrated reasoning which produces tool-call trajectories |
we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized | riesz | riesz regression | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
a total of 5 uavs with optimal location schemes would be sufficient to detect over 95 of the paths in the network considering both microscopic uncertainty regarding the intersection operation efficiency and the macroscopic | uncertainty | optimal uav | a total of 5 uavs with optimal location schemes would be sufficient to detect over 95 of the paths in the network considering both microscopic uncertainty regarding the intersection operation efficiency and the macroscopic uncertainty regarding the route choice of road users |
yet the classic theoretical results of population | genetics | large population | yet the classic theoretical results of population genetics e |
to address these issues this study introduces the | human-ai | artificial intelligence | to address these issues this study introduces the human-ai re synergy model hare-sm a conceptual framework that integrates ai-driven analysis with human oversight to improve requirements elicitation analysis and validation |
consequently each iteration has a computational cost that is proportional to the number of spatial degrees of freedom producing a scalable method that preserves the established strong | convergence | zeroth-order methods | consequently each iteration has a computational cost that is proportional to the number of spatial degrees of freedom producing a scalable method that preserves the established strong convergence rates |
discovering heuristics with large language | models | language models | discovering heuristics with large language models llms for mixed-integer programs single-machine scheduling |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | quantum algorithm | designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum computing particularly for noisy intermediate-scale quantum nisq devices where circuit efficiency and resilience to errors are paramount |
they may significantly affect the cosmological | environment | dark matter | they may significantly affect the cosmological environment of their host galaxy |
instrumental variable methods are fundamental to | causal | causal effects | instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables |
the second was a hybrid approach that used the cnn as a feature extractor and then applied a support vector | machine | neural networks | the second was a hybrid approach that used the cnn as a feature extractor and then applied a support vector machine svm classifier |
in this work we present a new randomized algorithm that improves the cut-query | complexity | randomized algorithm | in this work we present a new randomized algorithm that improves the cut-query complexity to widetilde o n 8 5 |
the ability to use random objects as tools in a generalizable manner is a missing piece in | robots | robotic manipulation | the ability to use random objects as tools in a generalizable manner is a missing piece in robots intelligence today to boost their versatility and problem-solving capabilities |
furthermore the dual-bus scheme operates broadband spanning visible to mid-infrared across all four transmission channels highlighting its spectral richness and | platform | optical communication | furthermore the dual-bus scheme operates broadband spanning visible to mid-infrared across all four transmission channels highlighting its spectral richness and platform independence |
the second part learns the neural stability | descriptor | deep neural | the second part learns the neural stability descriptor by iteratively training the nns with sample augmentation guided by the tailored conservativeness-aware loss function |
these findings support a clear takeaway improving representation learning is a direct and useful path to robust | world | world models | these findings support a clear takeaway improving representation learning is a direct and useful path to robust world models delivering reliable long-horizon predictions without enlarging the dynamics module |
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