prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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combining blotto networks and voter models to simulate voter behavior in response to competitive | election | swing voters | combining blotto networks and voter models to simulate voter behavior in response to competitive election spending |
we first show that this compositionality can be systematically described by a probabilistic | generative | encoding models | we first show that this compositionality can be systematically described by a probabilistic generative model |
chronic diseases frequently co-occur in patterns that are unlikely to | arise | comorbidity networks | chronic diseases frequently co-occur in patterns that are unlikely to arise by chance a phenomenon known as multimorbidity |
we present a statistical framework that establishes an accelerating star formation scenario for | dense | stellar population | we present a statistical framework that establishes an accelerating star formation scenario for dense clumps using atlasgal and almagal samples |
in particular for dense graphs with non-negative real weights we provide the first nearly work-efficient | strongly | strongly polynomial | in particular for dense graphs with non-negative real weights we provide the first nearly work-efficient strongly polynomial algorithm with sublinear depth |
the results expose limitations in current llms capacity for representation alignment highlighting the need for further research on robust alignment between | language | vision-language models | the results expose limitations in current llms capacity for representation alignment highlighting the need for further research on robust alignment between language and internal agent representations |
these results highlight the significant room for improving the mathematical reasoning in | current | large language models llms | these results highlight the significant room for improving the mathematical reasoning in current llms |
we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as | active | active galactic | we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as active galaxies by optical spectroscopy infrared colors x-ray brightness and photometric variability |
the average responded probability that our | vacuum | vacuum metastable | the average responded probability that our vacuum is metastable was 45 |
our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum | computing | open quantum | our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum computing to advance their analysis |
it is setup for quantum communication and quantum-assured time transfer and can establish satellite | communication | optical communication | it is setup for quantum communication and quantum-assured time transfer and can establish satellite communication links within ten minutes of arriving on site day or night |
7 db at spopo output evidencing the robustness and versatility of this platform for stable pulsed squeezed-light | generation | nonlinear optical | 7 db at spopo output evidencing the robustness and versatility of this platform for stable pulsed squeezed-light generation and advanced quantum optical applications |
experimental results confirm superior performance | compared | multi-object tracking | experimental results confirm superior performance compared to state-of-the-art trackers |
through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience environmental selection can naturally promote | evolutionary | evolutionary dynamics | through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience environmental selection can naturally promote evolutionary strategies that generalize across environments and anticipate novel challenges |
this formulation leads to a point to set type of optimization problem which relaxes the requirement on controllability of the system | compared | predictive control | this formulation leads to a point to set type of optimization problem which relaxes the requirement on controllability of the system compared to the classic lap framework |
approximate nearest neighbor ann search and | approximate | -approximation algorithm | approximate nearest neighbor ann search and approximate kernel density estimation a-kde are fundamental problems at the core of modern machine learning with broad applications in data analysis information systems and large-scale decision making |
quantum enhanced dark-matter search with entangled fock | states | open quantum | quantum enhanced dark-matter search with entangled fock states in high-quality cavities |
large language models llms excel at general tasks but underperform in specialized | domains | large language | large language models llms excel at general tasks but underperform in specialized domains like economics and psychology which require deep principled understanding |
dyck edit distance measures how far a parenthesis string is from a well-parenthesized expression while tree | edit | edit distance | dyck edit distance measures how far a parenthesis string is from a well-parenthesized expression while tree edit distance quantifies the minimum number of node insertions deletions and substitutions required to transform one rooted ordered labeled tree into another |
our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum | computing | quantum algorithm | our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum computing ftqc stack to show how quantum computers could realistically and practically tackle co _2 utilization for green energy production |
we construct a non-parametric framework by generating large ensembles of randomized | sfhs | host galaxy | we construct a non-parametric framework by generating large ensembles of randomized sfhs for each galaxy in the sample |
this improvement allows the inverse optimal safe control to inherit the standard | gain | inverse optimal | this improvement allows the inverse optimal safe control to inherit the standard gain margin of 1 2 inf without requiring prior knowledge of whether f x or u0 acts safely on the safety boundary while simultaneously ensuring global asymptotic stability of the resulting safe set |
fast high-fidelity baseband reset of a latched state for quantum dot | qubit | qubit readout | fast high-fidelity baseband reset of a latched state for quantum dot qubit readout |
to enhance efficiency we further develop vimogen-light a distilled variant that eliminates video | generation | video generation | to enhance efficiency we further develop vimogen-light a distilled variant that eliminates video generation dependencies while preserving strong generalization |
the same framework applies broadly to continuously tunable phase-gradient optics including varifocal metalenses parfocal zoom | metalenses | refractive index | the same framework applies broadly to continuously tunable phase-gradient optics including varifocal metalenses parfocal zoom metalenses tunable axicons and related dynamic focusing elements |
this work advances this vision by identifying the fundamental principles of human ai collaboration within | uncertainty | uncertainty quantification | this work advances this vision by identifying the fundamental principles of human ai collaboration within uncertainty quantification a key component of reliable decision making |
we explain these capacities via a computational | cognitive | artificial intelligence | we explain these capacities via a computational cognitive model that we call the intuitive gamer |
our findings thus interpret linear relational decoding in transformer | language | language models | our findings thus interpret linear relational decoding in transformer language models as primarily property-based rather than relation-specific |
adaptive channel estimation and quantized feedback for ris assisted optical | wireless | wireless communication | adaptive channel estimation and quantized feedback for ris assisted optical wireless communication systems |
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 clusters | 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 |
first we formally define multiclass local calibration and | establish | local calibration | first we formally define multiclass local calibration and establish its relationship with strong calibration |
our system enables users to interact seamlessly with real-world objects using natural gaze fixation from a first-person perspective while providing | augmented | augmented reality | our system enables users to interact seamlessly with real-world objects using natural gaze fixation from a first-person perspective while providing augmented visual cues to confirm intent and leveraging a pretrained vision model and robotic arm for intent recognition and object manipulation |
here we introduce a photoelectrical spin readout scheme that detects | spin | spin readout | here we introduce a photoelectrical spin readout scheme that detects spin information stored long-term as trapped electrical charges |
spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the | milky | massive galaxies | spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the milky way |
a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger | receptive | receptive fields | a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger receptive fields |
vacuum decay posits that the universe s apparent | vacuum | vacuum decay | vacuum decay posits that the universe s apparent vacuum is metastable and could transition to a lower-energy state |
to address this issue we propose the adaptive | trajectory | motion planning | to address this issue we propose the adaptive trajectory refinement algorithm which consists of two main stages |
jetson orin nano remains challenging due to high computational demands especially in real-world scenarios where power latency and | computational | physical computing | jetson orin nano remains challenging due to high computational demands especially in real-world scenarios where power latency and computational resources are critical |
we empirically demonstrate that these human mobility network localities are rigorous geometric entities that map directly to geographic localities revealing that human | mobility | travel information | we empirically demonstrate that these human mobility network localities are rigorous geometric entities that map directly to geographic localities revealing that human mobility networks lie on manifolds of dimension 5 |
machine unlearning mu aims to remove the influence of certain data points from a | trained | continual learning | machine unlearning mu aims to remove the influence of certain data points from a trained model without costly retraining |
a convex reformulation for speed planning of a vehicle under the travel | time | optimal control | a convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives |
it also leads to the first non-trivial strongly | polynomial | polynomial time | it also leads to the first non-trivial strongly polynomial dynamic algorithm for minimum mean cycle |
this paper provides a nonparametric framework for | causal | causal effects | this paper provides a nonparametric framework for causal inference with categorical outcomes under binary treatment and binary instrument settings |
recalling previously experienced movements is essential for a range of activities including sports music and rehabilitation yet little is known about the accuracy and decay of proprioceptive | working | working memory | recalling previously experienced movements is essential for a range of activities including sports music and rehabilitation yet little is known about the accuracy and decay of proprioceptive working memory |
our results show that removing coreference | resolution | coreference resolution | our results show that removing coreference resolution results in a 28 |
that is surprising as this framework is naturally suited for hierarchical control applications in general and | autonomous | autonomous driving | that is surprising as this framework is naturally suited for hierarchical control applications in general and autonomous driving tasks in specific |
we propose a framework for assessing lm reasoning efficiency through the lens of logic programming introducing a simple method to align proofs written in natural language -- as generated by an lm -- with shortest proofs found by executing the | logic | mathematical reasoning | we propose a framework for assessing lm reasoning efficiency through the lens of logic programming introducing a simple method to align proofs written in natural language -- as generated by an lm -- with shortest proofs found by executing the logic program |
instead in this paper we flexibly derive robust precoding algorithms from given data using | reinforcement | reinforcement learning | instead in this paper we flexibly derive robust precoding algorithms from given data using reinforcement learning |
this paper introduces cypress crop yield prediction via regression on prithvi s encoder for satellite sensing a | deep | deep network | this paper introduces cypress crop yield prediction via regression on prithvi s encoder for satellite sensing a deep learning model designed for high-resolution intra-field canola yield prediction |
scribe combines domain-specific tools with a self-reflective inference | pipeline | thinking traces | scribe combines domain-specific tools with a self-reflective inference pipeline that supports iterative reasoning tool use and error recovery |
our benchmark results reflect general improvements of recommender systems on the public | datasets | preference optimization | our benchmark results reflect general improvements of recommender systems on the public datasets with variable individual performances |
we further extend these analyses to two broad families of activation functions and deep | feedforward | recurrent neural networks | we further extend these analyses to two broad families of activation functions and deep feedforward architectures demonstrating that abstract representations naturally arise in all these scenarios |
understanding how the human brain progresses from | processing | cognitive neuroscience | understanding how the human brain progresses from processing simple linguistic inputs to performing high-level reasoning is a fundamental challenge in neuroscience |
dinosaur photonic crystal cavity interfaces for color center coupling to | triangular | photonic crystal | dinosaur photonic crystal cavity interfaces for color center coupling to triangular nanostructures |
in this work we utilize proximal causal inference framework for learning optimal dynamic | treatment | treatment regimes | in this work we utilize proximal causal inference framework for learning optimal dynamic treatment regimes when the unconfoundedness assumption fails |
accurate angle-of-arrival aoa estimation is essential for next-generation wireless | communication | channel estimation | accurate angle-of-arrival aoa estimation is essential for next-generation wireless communication systems to enable reliable beamforming high-precision localization and integrated sensing |
prompt estimation from prototypes for federated | prompt | prompt tuning | prompt estimation from prototypes for federated prompt tuning of vision transformers |
in difference-in-differences did settings with categorical outcomes such as voting occupation or major choices | treatments | treatment effect boundaries | in difference-in-differences did settings with categorical outcomes such as voting occupation or major choices treatments often affect both total counts e |
optical variability is a key observational probe for studying the accretion dynamics and central engine physics of active | galactic | galactic nuclei | optical variability is a key observational probe for studying the accretion dynamics and central engine physics of active galactic nuclei agns |
a world model is an internal model that simulates how the | world | world models | a world model is an internal model that simulates how the world evolves |
prior research examined how llms alter user views yet little work extended beyond one-way influence to address how user input can affect | llm | llm responses | prior research examined how llms alter user views yet little work extended beyond one-way influence to address how user input can affect llm responses and how such bi-directional influence manifests throughout the multi-turn conversations |
our key innovation lies in superseding the gradient descent | step | deep learning | our key innovation lies in superseding the gradient descent step with a learnable sigmoid-based operator which inherently enforces non-negativity and boundedness by transforming traditional subtractive updates into multiplicative ones |
quadratic truncated random return in distributional lqr positive definiteness | density | truncated random | quadratic truncated random return in distributional lqr positive definiteness density and log-concavity |
remarkably however we show that if the system is stabilizable then using this as prior knowledge leads to necessary and sufficient conditions that are weaker than those for | data-driven | data-driven stabilization | remarkably however we show that if the system is stabilizable then using this as prior knowledge leads to necessary and sufficient conditions that are weaker than those for data-driven stabilization without prior knowledge |
debiased machine learning typically requires estimation of the | riesz | machine learning | debiased machine learning typically requires estimation of the riesz representer and the regression function |
automating the co-design of a robot s morphology and control is a long-standing challenge due to the vast design | space | multi-robot collaboration | automating the co-design of a robot s morphology and control is a long-standing challenge due to the vast design space and the tight coupling between body and behavior |
however droplets no longer rebounded at higher weber numbers and | remained | weber numbers | however droplets no longer rebounded at higher weber numbers and remained deposited |
we find that despite surfacing errors different | language | large language models llms | 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 |
the integrated system effectively addresses challenges | real-time | real-world applications | the integrated system effectively addresses challenges real-time quality assurance |
specifically if a quantum walk algorithm designed with the known technique solves the maximum matching problem using o | n | query complexity | specifically if a quantum walk algorithm designed with the known technique solves the maximum matching problem using o n 2- epsilon queries with any constant epsilon 0 and if the underlying classical random walk is independent of an input graph then the guaranteed time complexity is larger than any polynomial of n |
infected individuals in some epidemics can remain | asymptomatic | viral replication | infected individuals in some epidemics can remain asymptomatic while still carrying and transmitting the infection |
this paper introduces a benchmark combobench evaluating llms capability to translate semantic actions into vr device manipulation sequences across 262 scenarios from four popular | vr | physical virtual | this paper introduces a benchmark combobench evaluating llms capability to translate semantic actions into vr device manipulation sequences across 262 scenarios from four popular vr games half-life alyx into the radius moss book ii and vivecraft |
this result shows that even under relaxed assumptions quantum | theory | quantum networks | this result shows that even under relaxed assumptions quantum theory resists reconciliation with classical notions of absolute events reinforcing the foundational significance of wigner s friend-type paradoxes in timelike scenarios |
those models give structure to expectations around walking behavior of | groups | human mobility | those models give structure to expectations around walking behavior of groups from pedestrian walking independently to the emergence of a collective intention where group members tended to maintain bounded distance between each other |
this paper introduces a stochastic optimal control framework to address these issues | simultaneously | inverse optimal issf | this paper introduces a stochastic optimal control framework to address these issues simultaneously without excessively conservative approximations |
these applications have motivated a growing demand for | compact | integrated photonics | these applications have motivated a growing demand for compact reconfigurable vortex arrays with tunable topological charge yet integrating these functionalities into nanophotonic platforms remains elusive |
unsupervised learning is therefore a natural approach for exploring the design of | biological | artificial neural | unsupervised learning is therefore a natural approach for exploring the design of biological neural networks and their computations |
this work introduces steervlm a lightweight steering module designed to guide vision-language models | vlms | vision transformers | this work introduces steervlm a lightweight steering module designed to guide vision-language models vlms towards outputs that better adhere to desired instructions |
ai-powered approaches specifically large language models llms natural | language | ai agents | ai-powered approaches specifically large language models llms natural language processing nlp and generative ai offer transformative solutions and reduce inefficiencies |
spiral self-play incremental racing algorithm for learning in | multi-drone | multi-drone racing | spiral self-play incremental racing algorithm for learning in multi-drone competitions |
our results suggest that fishing pressure in tandem with | climate | climate change | our results suggest that fishing pressure in tandem with climate change substantially reduces ecosystem resilience highlighting the importance of sustainable harvest strategies in a changing climate |
during training text tokens in each image-caption pair are masked at a randomly chosen ratio and a decoder conditioned on | visual | vision-language models vlms | during training text tokens in each image-caption pair are masked at a randomly chosen ratio and a decoder conditioned on visual features is trained to reconstruct the original text |
this research opens new avenues for enhancing the performance and reliability of autonomous | racing | multi-drone racing | this research opens new avenues for enhancing the performance and reliability of autonomous racing drones in increasingly complex and competitive scenarios |
this work underscores the potential of cas as proactive human-machine interface hmi interventions demonstrating how natural language can support context-aware | interaction | human-ai interaction | this work underscores the potential of cas as proactive human-machine interface hmi interventions demonstrating how natural language can support context-aware interaction during automated driving |
recent approaches to modeling such objects either rely on optimization-based | reconstruction | image reconstruction | recent approaches to modeling such objects either rely on optimization-based reconstruction pipelines that require dense-view supervision or on feed-forward generative models that produce coarse geometric approximations and often overlook surface texture |
the localization of magnetic moments is robust even in non-equilateral | nanoflake | magnetic ground | the localization of magnetic moments is robust even in non-equilateral nanoflake geometries highlighting their intrinsic stability regardless of the high symmetry of the hosting structure |
to address these limitations a brain-computer interface bci system is developed using a non-invasive electroencephalogram | eeg | electroencephalography eeg | to address these limitations a brain-computer interface bci system is developed using a non-invasive electroencephalogram eeg headband focuscalm to record brainwave activity under attentive and non-attentive states |
the model outputs per-object recall probabilities that can drive interface adjustments when predicted | recall | object recall | the model outputs per-object recall probabilities that can drive interface adjustments when predicted recall falls |
however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale | quantum | quantum technologies | however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational advantage in this area |
using a simulation model based on the prisoner s dilemma and quantal response equilibrium we analyze how variations in these | learning | complex networks | using a simulation model based on the prisoner s dilemma and quantal response equilibrium we analyze how variations in these learning rates affect the emergence of large-scale network structures |
in the deep-strong coupling dsc regime the | interaction | light-matter interactions | in the deep-strong coupling dsc regime the interaction between light and matter exceeds their bare frequencies leading to an effective decoupling |
we describe how weak phase modulations applied to classical | coherent | coherent control | we describe how weak phase modulations applied to classical coherent light in specially modified linear interferometers can be used to perform primitive computational tasks |
our method can also handle real-world constraints by restricting changes to immutable and categorical features such as age gender sex height and other related characteristics such as the | case | real-world datasets | our method can also handle real-world constraints by restricting changes to immutable and categorical features such as age gender sex height and other related characteristics such as the case for a health-based dataset |
however discovering insights from this complex landscape is exploratory conceptually challenging and requires expertise in | social | social media | however discovering insights from this complex landscape is exploratory conceptually challenging and requires expertise in social media mining and visualization |
this provides a flexible technology compensating limited collected brightnesses of single-photon sources as well as a thorough investigation of | single-photon | single photons | this provides a flexible technology compensating limited collected brightnesses of single-photon sources as well as a thorough investigation of single-photon statistics advantage scenarios over poisson-distributed statistics |
the theoretical analysis presented in this work focuses on novel | convergence | convergence guarantees | the theoretical analysis presented in this work focuses on novel convergence estimates for the sga and lrsga methods including parameter bounds |
bnlf performs late fusion by modelling the sentiment predictions from multiple | llms | large language models llms | bnlf performs late fusion by modelling the sentiment predictions from multiple llms as probabilistic nodes within a bayesian network |
this paper develops a unified framework for identifying | spatial | spatial treatment | this paper develops a unified framework for identifying spatial and temporal boundaries of treatment effects in difference-in-differences designs |
we show that the cavity reflection approach enables high-fidelity spin | readout | spin readout | we show that the cavity reflection approach enables high-fidelity spin readout even when the t center only has a modest cyclicity |
our study contributes to the scheduling and combinatorial optimization literature with new heuristics discovered by leveraging the power of large | language | language models | our study contributes to the scheduling and combinatorial optimization literature with new heuristics discovered by leveraging the power of large language models llms |
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