prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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additionally the refined annotation guidelines increase agreement among different | llm | llm reasoning | additionally the refined annotation guidelines increase agreement among different llm models |
we then show that for fitness fluctuations with exponential tails these operations admit a unique | traveling | traveling waves | we then show that for fitness fluctuations with exponential tails these operations admit a unique traveling wave solution with local stability |
here we generalize the model to multilayer networks and name it as the | multilayer | correlation network | here we generalize the model to multilayer networks and name it as the multilayer triadic percolation mtp model |
this article will not only review all of these measures but also include two recently proposed algorithms for latency correction which build on spike-order and aim to optimize the spike time alignment of sparse | spike | spike train | this article will not only review all of these measures but also include two recently proposed algorithms for latency correction which build on spike-order and aim to optimize the spike time alignment of sparse spike trains with well-defined global spiking events |
existing frameworks largely rely on imitation | learning | reinforcement learning | existing frameworks largely rely on imitation learning il which can be limited by sub-optimal expert demonstrations and covariate shift during deployment |
we first demonstrate that these models are competitive point trackers when focusing on static points present in current point | tracking | point tracking | we first demonstrate that these models are competitive point trackers when focusing on static points present in current point tracking benchmarks 33 |
recently molecular dynamics md simulations using machine-learned force fields mlffs have opened a new avenue for finite-temperature | calculations | first-principles calculations | recently molecular dynamics md simulations using machine-learned force fields mlffs have opened a new avenue for finite-temperature calculations with near-first-principles accuracy |
through sed fitting we determine the luminosities of these | quasars | galactic disk | through sed fitting we determine the luminosities of these quasars and find that their dust torus sizes follow the established r_ dust -l_ agn relation reported in previous studies |
we motivate the applicability of this process by using it to simulate a number of barely | random | randomized algorithm | we motivate the applicability of this process by using it to simulate a number of barely random algorithms for weighted interval selection single-length arbitrary weights as well as monotone c-benevolent and d-benevolent weighted instances the proportional and general knapsack problems binary string guessing and unweighted job throughput scheduling |
this integrated approach offers a general mathematical framework for designing and evaluating control strategies in | infectious | infectious individuals | this integrated approach offers a general mathematical framework for designing and evaluating control strategies in infectious disease outbreaks with applications to low resource settings and beyond |
we show that quantum coherence drives spontaneous symmetry breaking while long-range | interactions | quantum mechanics | we show that quantum coherence drives spontaneous symmetry breaking while long-range interactions stabilize global oscillations against quantum-noise-induced desynchronization |
anti gravitron a statistical physics perspective on multidimensional metrics of | polarizing | statistical physics | anti gravitron a statistical physics perspective on multidimensional metrics of polarizing inequality |
the estimation method linear smoothers maximum | likelihood | maximum likelihood | the estimation method linear smoothers maximum likelihood generalized method of moments etc |
here we report the first direct observation of a hcp ice phase using synchrotron x-ray | diffraction | x-ray diffraction | here we report the first direct observation of a hcp ice phase using synchrotron x-ray diffraction in laser-heated diamond anvil cells |
at high pressures nuclear quantum effects involving both | hydrogen | molecular dynamics | at high pressures nuclear quantum effects involving both hydrogen molecules and the water lattice become dominant giving rise to a dual-lattice quantum system |
carbon-aware optimal power flow with data-driven | carbon | carbon emissions | carbon-aware optimal power flow with data-driven carbon emission tracing |
along with the natural language embeddings the representations are trained by an haoi | manipulation | imitation learning | along with the natural language embeddings the representations are trained by an haoi manipulation language model to align the grasping process with its language description in a shared representation space |
as llms occupy an increasingly important role in society they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain human | value | models llms | as llms occupy an increasingly important role in society they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain human value systems |
the optimal control model supports the development and seasonal timing of cost-effective mosquito | control | control strategies | the optimal control model supports the development and seasonal timing of cost-effective mosquito control methods |
this approach requires only a dimension-independent number of zero-order evaluations -- as few as eight -- at each | iteration | zeroth-order methods | this approach requires only a dimension-independent number of zero-order evaluations -- as few as eight -- at each iteration step |
in this study we will explore the optimal | uav | optimal uav | in this study we will explore the optimal uav deployment problem in road networks in conjunction with sampled connected vehicle data to achieve more reliable estimation of macroscopic path flow as well as microscopic arrival rates and queue lengths |
we study a continuous-time neural model that unifies several | biologically | neural representations | we study a continuous-time neural model that unifies several biologically plausible learning algorithms and removes the need for phase separation |
the goal of policy learning is to train a | policy | reinforcement learning | the goal of policy learning is to train a policy function that recommends a treatment given covariates to maximize population welfare |
finally we validate our theoretical results through | simulations | world models | finally we validate our theoretical results through simulations on synthetic and real-world datasets |
our work has implications for developing nlp tools for minority | languages | large language | our work has implications for developing nlp tools for minority languages and supporting language preservation in communities under lexical pressure from dominant languages |
these results have implications for amplified oversight -- the challenge of combining | humans | human-machine teaming | these results have implications for amplified oversight -- the challenge of combining humans and ai to supervise ai systems even as they surpass human expert performance |
reinforcement learning with verifiable rewards | rlvr | reinforcement learning rl | reinforcement learning with verifiable rewards rlvr is a promising approach for enhancing agentic deep search |
finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement | channels | entanglement entropy | finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement channels with tunable strengths and experimentally confirming the predicted efficiency enhancement enabled by correlation-assisted superposed causal order |
to guide the image reconstruction bit predicts two complementary localized patch-level image features i high-level semantic features which steer the diffusion model toward the correct semantic content of the image and ii low-level | structural | image reconstruction | to guide the image reconstruction bit predicts two complementary localized patch-level image features i high-level semantic features which steer the diffusion model toward the correct semantic content of the image and ii low-level structural features which help to initialize the diffusion process with the correct coarse layout of the image |
in neuroscience methods from information geometry ig have been successfully applied in the modelling of binary vectors from spike train data using the orthogonal decomposition of the kullback-leibler divergence and | mutual | mutual information | in neuroscience methods from information geometry ig have been successfully applied in the modelling of binary vectors from spike train data using the orthogonal decomposition of the kullback-leibler divergence and mutual information to isolate different orders of interaction between neurons |
in visuomotor policy learning diffusion-based imitation | learning | imitation learning | in visuomotor policy learning diffusion-based imitation learning has become widely adopted for its ability to capture diverse behaviors |
randomized space-time coded stacked intelligent metasurfaces for massive multiuser | downlink | uplink communication | randomized space-time coded stacked intelligent metasurfaces for massive multiuser downlink connectivity |
these results suggest that llms can serve as practical proxies for otherwise unrevealed human thinking | traces | llm raters | these results suggest that llms can serve as practical proxies for otherwise unrevealed human thinking traces enabling label-only corpora to be extended into thinking-trace-augmented resources that enhance the reliability of llm raters |
toward socially-aware llms a survey of multimodal approaches to human | behavior | models llms | toward socially-aware llms a survey of multimodal approaches to human behavior understanding |
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 | predictive control | 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 |
our extensive evaluation demonstrates that our approach can localize within 200m more than 68 of queries of a dataset covering a | large | large language | our extensive evaluation demonstrates that our approach can localize within 200m more than 68 of queries of a dataset covering a large part of europe |
inspired by structural plasticity pruning is often used in machine learning to remove weak | connections | continual learning | inspired by structural plasticity pruning is often used in machine learning to remove weak connections from trained models to reduce the computational requirements of inference |
we introduce underline s ynergistic underline s parse and underline l ow-rank | underline | large language models llms | we introduce underline s ynergistic underline s parse and underline l ow-rank underline c ompression sslc methods for llms which leverages the strengths of both techniques low-rank approximation compresses the model by retaining its essential structure with minimal information loss whereas sparse optimization eliminates non-essential weights preserving those crucial for generalization |
these results have implications for amplified oversight -- the challenge of combining | humans | human-ai interaction | these results have implications for amplified oversight -- the challenge of combining humans and ai to supervise ai systems even as they surpass human expert performance |
we provide an algorithm that finds a 1 epsilon -approximate solution to this problem using o d 1 3 epsilon 1 epsilon 2 log n | epsilon | epsilon -approximate | we provide an algorithm that finds a 1 epsilon -approximate solution to this problem using o d 1 3 epsilon 1 epsilon 2 log n epsilon linear system solves |
this paper introduce textbf infoflow a systematic framework that | tackles | natural language | this paper introduce textbf infoflow a systematic framework that tackles this problem from three aspects |
our methodology is twofold first we develop algorithms to process raw position data accurately extracting the | commuting | mobility networks | our methodology is twofold first we develop algorithms to process raw position data accurately extracting the commuting trajectory transportation mode and transfer stations |
we used these disentangled embeddings to model intracranial ecog brain | recordings | brain-computer interface | we used these disentangled embeddings to model intracranial ecog brain recordings from neurosurgical patients listening to natural speech |
however these evaluations rely on llms proxy | llms | llm responses | however these evaluations rely on llms proxy llms to gauge compliance with privacy norms overlooking real users perceptions |
to guide the image reconstruction bit predicts two complementary localized patch-level image features i high-level semantic features which steer the diffusion model toward the correct semantic content of the image and ii low-level structural features which help to initialize the diffusion | process | image generation | to guide the image reconstruction bit predicts two complementary localized patch-level image features i high-level semantic features which steer the diffusion model toward the correct semantic content of the image and ii low-level structural features which help to initialize the diffusion process with the correct coarse layout of the image |
reward models rms play a critical role in aligning large | language | large language | reward models rms play a critical role in aligning large language models llms with human preferences |
we address two key questions 1 how can the intent of a group trajectory be optimally formalized as the characteristic function of a | cooperative | cooperative game | we address two key questions 1 how can the intent of a group trajectory be optimally formalized as the characteristic function of a cooperative game |
ai-powered approaches specifically large language | models | ai systems | ai-powered approaches specifically large language models llms natural language processing nlp and generative ai offer transformative solutions and reduce inefficiencies |
we analyze a model where the mlp comprises two layers with the first layer trained via a single gradient step and the second | layer | machine learning | we analyze a model where the mlp comprises two layers with the first layer trained via a single gradient step and the second layer fully optimized |
in 5g networks a terminal position is determined from the time of arrival of positioning reference signals transmitted by | base | base station | in 5g networks a terminal position is determined from the time of arrival of positioning reference signals transmitted by base stations |
accelerating mathematical research with language | models | language models | accelerating mathematical research with language models a case study of an interaction with gpt-5-pro on a convex analysis problem |
whereas existing work typically imposes strong conditions to restore just-identification before deriving the efficiency bound we relax such assumptions and characterize the general efficiency | bound | efficiency bound | whereas existing work typically imposes strong conditions to restore just-identification before deriving the efficiency bound we relax such assumptions and characterize the general efficiency bound along with efficient estimators in the overidentified models ii and iii |
the good agreement with experimental estimates demonstrates how time-independent variational calculations of excited states using density functionals can give accurate results and thereby provide a powerful screening tool for identifying other defect systems as candidates for | quantum | quantum technologies | the good agreement with experimental estimates demonstrates how time-independent variational calculations of excited states using density functionals can give accurate results and thereby provide a powerful screening tool for identifying other defect systems as candidates for quantum technologies |
experimental results showed that compared to the state-of-the-art method sota the accuracy improvement rate in a cg dataset with dynamic | obstacles | collision avoidance | experimental results showed that compared to the state-of-the-art method sota the accuracy improvement rate in a cg dataset with dynamic obstacles is 1 |
the observed polarizabilities are 3-25 times | larger | photonic crystal | the observed polarizabilities are 3-25 times larger than those of tin vacancy centers which we attribute to valence band resonances that delocalize the e_u wavefunctions |
here we propose an expression of mathcal r_0 in the context of | multiplex | correlation network | 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 |
additionally they imply an m 1 o 1 w -time algorithm for solving the problem on graphs with a given | tree | -time algorithm | additionally they imply an m 1 o 1 w -time algorithm for solving the problem on graphs with a given tree decomposition of width w |
here we explore topological effects on photon-pair generation via spontaneous parametric down-conversion spdc in nonlinear | waveguide | integrated photonics | here we explore topological effects on photon-pair generation via spontaneous parametric down-conversion spdc in nonlinear waveguide arrays both theoretically and experimentally |
mobility data are now routinely used to improve such forecasts yet work diverges on whether the volume of mobility or the structure of | mobility | human mobility | mobility data are now routinely used to improve such forecasts yet work diverges on whether the volume of mobility or the structure of mobility networks carries the most predictive signal |
on a real robot with 22 degrees of freedom dofs get-use outperforms state-of-the-art methods by 30-60 | success | motion planning | on a real robot with 22 degrees of freedom dofs get-use outperforms state-of-the-art methods by 30-60 success rates across three vision-based bimanual mobile manipulation tool-usage tasks |
these findings offer fundamental insights into | systems | complex networks | these findings offer fundamental insights into systems with competing order parameters and have direct implications for multilayer biological networks social media ecosystems and political debates characterized by competing priorities |
results show that lower and more homogeneously distributed learning rates promote scale-free networks while higher or more heterogeneously distributed | learning | complex networks | results show that lower and more homogeneously distributed learning rates promote scale-free networks while higher or more heterogeneously distributed learning rates lead to the emergence of core-periphery topologies |
their prevalence features and clinical consequences | remain | findings highlight | their prevalence features and clinical consequences remain undefined |
to address this we analyze one year of smartphone position data from over one million users in the tokyo metropolitan area to extract high-resolution | commuting | mobility networks | to address this we analyze one year of smartphone position data from over one million users in the tokyo metropolitan area to extract high-resolution commuting trajectories |
specifically we characterize the global asymptotic behavior of the disease determining conditions for quick eradication of the | disease | disease transmission | specifically we characterize the global asymptotic behavior of the disease determining conditions for quick eradication of the disease i |
unveiling intrinsic text bias in multimodal large | language | language models | unveiling intrinsic text bias in multimodal large language models through attention key-space analysis |
don t blind your vla aligning visual representations for | ood | visual navigation | don t blind your vla aligning visual representations for ood generalization |
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 | yield prediction | 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 |
in parallel an extended kalman filter fuses imu and actuator encoder feedback to provide accurate and reliable state | estimation | state estimation | in parallel an extended kalman filter fuses imu and actuator encoder feedback to provide accurate and reliable state estimation under sensor noise and external disturbances |
in real-world reasoning scenarios much of the available information is irrelevant and effective deductive inference requires identifying and | ignoring | normative reasoning | in real-world reasoning scenarios much of the available information is irrelevant and effective deductive inference requires identifying and ignoring such distractions |
these findings show that transferring proprioceptive experiences into | working | working memory | these findings show that transferring proprioceptive experiences into working memory introduces systematic temporal and structural distortions |
experimental results show that lagmemo s memory module enables effective multi-modal open-vocabulary goal localization and that lagmemo outperforms state-of-the-art methods in multi-goal | visual | multi-goal visual | experimental results show that lagmemo s memory module enables effective multi-modal open-vocabulary goal localization and that lagmemo outperforms state-of-the-art methods in multi-goal visual navigation |
controlling specific behaviors in large language models while preserving their general | capabilities | large language | controlling specific behaviors in large language models while preserving their general capabilities is a central challenge for safe and reliable artificial intelligence deployment |
platforms such as the bee robeetle smallbug smarti waterstrider vleibot and frisshbot exemplify how feedback loops decision logics sensing mechanisms and smart actuation strategies can be embedded into the physical properties of the | robotic | robotic manipulation | platforms such as the bee robeetle smallbug smarti waterstrider vleibot and frisshbot exemplify how feedback loops decision logics sensing mechanisms and smart actuation strategies can be embedded into the physical properties of the robotic system itself |
inverse reinforcement learning using just | classification | policy learning | inverse reinforcement learning using just classification and a few regressions |
this mass inflow predominantly manifests itself in the | form | dense gas | this mass inflow predominantly manifests itself in the form of so-called streamers filaments and arcs of gas connecting large-scale extended gas structures to disk scales |
modern vision-language models vlms excel at many | multimodal | language models | modern vision-language models vlms excel at many multimodal tasks yet their grasp of temporal information in video remains weak and crucially under-evaluated |
a major goal of computational astrophysics is to simulate the | milky | milky way | a major goal of computational astrophysics is to simulate the milky way galaxy with sufficient resolution down to individual stars |
the magnetic properties of van der waals materials are profoundly | influenced | van der waals | the magnetic properties of van der waals materials are profoundly influenced by structural defects |
it addresses two main challenges i resolving | collisions | collision avoidance | it addresses two main challenges i resolving collisions between agvs and ii assigning tasks to agvs |
to overcome these limitations we propose a novel multiplicative update proximal gradient algorithm sso-pga with | convergence | minimax optimal | to overcome these limitations we propose a novel multiplicative update proximal gradient algorithm sso-pga with convergence guarantees which is designed for robustness in non-negative inverse problems |
understanding how these systems may be spatially distributed to optimise their collective potential is therefore of importance in both ecology and in | collective | collective systems | understanding how these systems may be spatially distributed to optimise their collective potential is therefore of importance in both ecology and in collective systems design |
spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both | metallicity | stellar population | 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 |
using a brain encoder as a digital twin offers a powerful data-driven framework for generating and testing hypotheses about visual selectivity in the human brain - hypotheses that can guide future | fmri | human brain | using a brain encoder as a digital twin offers a powerful data-driven framework for generating and testing hypotheses about visual selectivity in the human brain - hypotheses that can guide future fmri experiments |
for a conditional version of the measure without such a representation we develop a two-step | semiparametric | nonparametric identification | for a conditional version of the measure without such a representation we develop a two-step semiparametric estimator based on distribution regression and establish its asymptotic properties |
results using k-means for longitudinal data three groups were obtained and one of these groups showed | cognitive | cognitive science | results using k-means for longitudinal data three groups were obtained and one of these groups showed cognitive decline over the three years of follow-up |
the lowering of this strain energy will favor atomic anisotropic environments for neodymium that explains the perpendicular | anisotropy | magnetic anisotropy | the lowering of this strain energy will favor atomic anisotropic environments for neodymium that explains the perpendicular anisotropy and its thickness dependence of these thin film compounds |
coordinated multipoint transmission in pinching | antenna | pinching antenna | coordinated multipoint transmission in pinching antenna systems |
these direct and quantitative experimental results support the possibility of beta-pdbi2 as a topological superconductor characterized by unique crystal and | electronic | electronic structure | these direct and quantitative experimental results support the possibility of beta-pdbi2 as a topological superconductor characterized by unique crystal and electronic band structures |
this approach requires only a dimension-independent | number | computationally efficient | this approach requires only a dimension-independent number of zero-order evaluations -- as few as eight -- at each iteration step |
this enables high-speed coherent communications and ultra-precise | coherent | optical communication | this enables high-speed coherent communications and ultra-precise coherent timing and positioning between ground and space |
large cities lose their growth edge as urban | systems | urban systems | large cities lose their growth edge as urban systems mature |
07 are obtained for sustainable supply chain in terms of 5 product group classification and 4 product relation | classification | supply chain | 07 are obtained for sustainable supply chain in terms of 5 product group classification and 4 product relation classification respectively |
to this end we compare different representation extraction strategies and | introduce | generative models | to this end we compare different representation extraction strategies and introduce two model-agnostic embedding augmentations |
informative sample selection model for skeleton-based | action | action recognition | informative sample selection model for skeleton-based action recognition with limited training samples |
however works on collaborative training across | clients | federated learning | however works on collaborative training across clients with fundamentally different neural architectures and non-identically distributed datasets remain scarce |
in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for | computing | quantum key distribution | in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for computing two-time impurity correlation functions by combining the non-markovian quantum mpemba effect nmqmpe with a dynamical map-based framework for open quantum systems |
to each gonosomic algebra an evolution operator noted w is associated that gives the state of the | offspring | basic reproduction | to each gonosomic algebra an evolution operator noted w is associated that gives the state of the offspring population at the birth stage |
figuring out gas galaxies in enzo foggie xi circumgalactic o vi emission traces clumpy | inflowing | dense gas | figuring out gas galaxies in enzo foggie xi circumgalactic o vi emission traces clumpy inflowing recycled gas |
quantifying spike train synchrony and directionality | measures | spike train | quantifying spike train synchrony and directionality measures and applications |
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