prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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a mitigation strategy is a collections of | mitigation | mitigation methods | a mitigation strategy is a collections of mitigation methods and compilation procedures designed to mitigate all relevant errors for a given piece of characterised hardware |
in particular we establish the existence of an optimal dissipative environment for accelerated | spontaneous | spontaneous emission | in particular we establish the existence of an optimal dissipative environment for accelerated spontaneous emission |
pvmark hinges upon the proof of correct execution of watermark | detection | watermarking schemes | pvmark hinges upon the proof of correct execution of watermark detection on which a set of zkp constraints are built including mapping random number generation comparison and summation |
omnix from unified panoramic generation and perception to | graphics-ready | video generation | omnix from unified panoramic generation and perception to graphics-ready 3d scenes |
this task can be viewed as a language generation task that bridges | natural | natural language | this task can be viewed as a language generation task that bridges natural language human knowledge and programming logic |
we develop an efficient algorithm to solve this bilevel optimization problem which computes parameter | gradients | accelerated gradient | we develop an efficient algorithm to solve this bilevel optimization problem which computes parameter gradients without backpropagating through the solver |
here we show mathematically that abstract representations of latent variables are guaranteed to appear in the last hidden layer of feedforward nonlinear networks when they are | trained | recurrent neural networks | here we show mathematically that abstract representations of latent variables are guaranteed to appear in the last hidden layer of feedforward nonlinear networks when they are trained on tasks that depend directly on these latent variables |
allowing the order of quantum operations to exist in superposition is known to | open | quantum correlations | allowing the order of quantum operations to exist in superposition is known to open new routes for thermodynamic tasks |
finally we discuss the practical implications of isoergotropic states and | operations | quantum batteries | finally we discuss the practical implications of isoergotropic states and operations in optimizing charging protocols and mitigating charge loss in open quantum batteries |
low probability of detection communication using | noncoherent | wireless communication | low probability of detection communication using noncoherent grassmannian signaling |
we consider populations evolving according to natural selection mutation and recombination and assume that the genomes of all or a representative | selection | population genetics | we consider populations evolving according to natural selection mutation and recombination and assume that the genomes of all or a representative selection of individuals are known |
the analysis assesses cost gaps between european green products and lower-cost imports and evaluates strategies such as intra-european relocation selective imports of | green | green finance | the analysis assesses cost gaps between european green products and lower-cost imports and evaluates strategies such as intra-european relocation selective imports of green intermediates and targeted subsidies |
beyond reasoning benchmarks srl generalizes effectively to | agentic | reinforcement learning rl | beyond reasoning benchmarks srl generalizes effectively to agentic software engineering tasks establishing it as a robust and versatile training framework for reasoning-oriented llms |
in contrast to the existing approaches we regard classification | training | machine learning | in contrast to the existing approaches we regard classification training as a sequential process where classes are learned sequentially which we call emph inductive approach |
while imitation learning il enables effective visual navigation il | policies | learning agents | while imitation learning il enables effective visual navigation il policies are prone to unpredictable failures in out-of-distribution ood scenarios |
from the collection attains a high maximal | value | submodular maximization | from the collection attains a high maximal value on average when optimized over the restricted ground set |
data-driven stabilization using prior knowledge on | stabilizability | data-driven stabilization | data-driven stabilization using prior knowledge on stabilizability and controllability |
adaptive trajectory refinement for optimization-based local | planning | collision avoidance | adaptive trajectory refinement for optimization-based local planning in narrow passages |
given the large-scale and nonlinear nature of the problem an improved quantum | genetic | genetic algorithm | given the large-scale and nonlinear nature of the problem an improved quantum genetic algorithm iqga that integrates two customized operators is proposed to enhance neighbor searching and solution refinement thereby improving the observability of uav pairs |
here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform demonstrating entanglement superactivation phenomena which are unique to | multipartite | multipartite entanglement | here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform demonstrating entanglement superactivation phenomena which are unique to multipartite systems |
our results demonstrate that large electrical stark shifts can overcome the inhomogeneous distribution of transition frequencies representing a significant step toward scalable siv - -based quantum technologies such as | quantum | quantum technologies | our results demonstrate that large electrical stark shifts can overcome the inhomogeneous distribution of transition frequencies representing a significant step toward scalable siv - -based quantum technologies such as quantum repeaters |
even when such environmental noise is unbiased we find it can have a qualitative | impact | environmental change | even when such environmental noise is unbiased we find it can have a qualitative impact on the behaviors that evolve in a population |
network nonlocality breaking channels model environmental influences which results in the | loss | network nonlocality | network nonlocality breaking channels model environmental influences which results in the loss of resource i |
finally we apply our method on a real agricultural data set and estimate the plant root parameters with | uncertainty | uncertainty quantification | finally we apply our method on a real agricultural data set and estimate the plant root parameters with uncertainty quantification |
recent advances advocate easily obtainable channel state information csi by commercial wifi devices for lightweight rf fingerprinting while falling short in addressing the challenges of coarse granularity of | csi | channel state information csi | recent advances advocate easily obtainable channel state information csi by commercial wifi devices for lightweight rf fingerprinting while falling short in addressing the challenges of coarse granularity of csi measurements in an open-world setting |
unlike iterative approximation using dynamic programming in the drl a closed-form expression for the random return can be exactly characterized in the distributional lqr which is defined over infinitely many | random | random return | unlike iterative approximation using dynamic programming in the drl a closed-form expression for the random return can be exactly characterized in the distributional lqr which is defined over infinitely many random variables |
we propose that this behavior is not simply a flaw indicative of information loss but an adaptation to different information retrieval | demands | working memory | we propose that this behavior is not simply a flaw indicative of information loss but an adaptation to different information retrieval demands during pre-training some tasks require uniform recall across the entire input a long-term memory demand while others prioritize the most recent information a short-term memory d... |
chemical separation of stellar populations analytic solutions for | chemical | stellar mass function | chemical separation of stellar populations analytic solutions for chemical evolution models with metallicity-dependent yields |
we design and demonstrate heuristic quantum advantage with peaked circuits hqap | circuits | peaked circuits | we design and demonstrate heuristic quantum advantage with peaked circuits hqap circuits on quantinuum s system model h2 quantum processor |
distributed quantum computing dqc provides a promising route toward scalable quantum | computation | quantum batteries | distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches |
unravelling the mechanisms of manipulating numbers in | language | large language models llms | unravelling the mechanisms of manipulating numbers in language models |
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large | vision-language | vision-language models vlms | 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 conclude that ly alpha radiation pressure severely limits a possible extremely efficient feedback-free phase of star formation in | dense | star formation rates | we conclude that ly alpha radiation pressure severely limits a possible extremely efficient feedback-free phase of star formation in dense metal-poor clouds |
we confirm that galaxies with star formation efficiencies lower than the milky | way | active galactic | we confirm that galaxies with star formation efficiencies lower than the milky way have high probably indicating a stronger efficiency of the delayed sources of r-process at low metallicities |
accordingly redundancy reduction has been suggested as a prominent design principle of neural encoding but its mechanistic | biological | artificial neural | accordingly redundancy reduction has been suggested as a prominent design principle of neural encoding but its mechanistic biological implementation is unclear |
large language models llms such as chatgpt are | increasingly | large language | large language models llms such as chatgpt are increasingly integrated into high-stakes decision-making yet little is known about their susceptibility to social influence |
we empirically validate the performance of our | online | online algorithm | we empirically validate the performance of our online algorithm with experiments on real datasets |
the study results support the implementation of ar experiences in limited | physical | virtual reality | the study results support the implementation of ar experiences in limited physical spaces by providing an initial understanding of how users can be subtly encouraged to move throughout a room |
we sketch our protocol for designing these circuits and provide | extensive | numerical simulations | we sketch our protocol for designing these circuits and provide extensive numerical results leading to our extrapolation estimates |
simulation studies validate the practical advantages of our approach showing improved estimation accuracy when employing | data | data fusion | simulation studies validate the practical advantages of our approach showing improved estimation accuracy when employing data fusion |
in difference-in-differences did settings with categorical | outcomes | average treatment effect | in difference-in-differences did settings with categorical outcomes such as voting occupation or major choices treatments often affect both total counts e |
however the use of ai in re also brings challenges like algorithmic bias lack of explainability and | ethical | ai literacy | however the use of ai in re also brings challenges like algorithmic bias lack of explainability and ethical concerns related to automation |
picosecond wireless synchronization with entangled photons via grid-based | quantum | optical communication | picosecond wireless synchronization with entangled photons via grid-based quantum coverage in indoor optical systems |
clone deterministic 3d worlds with geometrically-regularized | world | world models | clone deterministic 3d worlds with geometrically-regularized world models |
inflation forecasting is a core socio-economic challenge in modern | macroeconomic | monetary policy | inflation forecasting is a core socio-economic challenge in modern macroeconomic modeling especially when cyclical structural and shock factors act simultaneously |
we focus on an important safety problem that is already challenging for | humans | ai assistance | we focus on an important safety problem that is already challenging for humans fact-verification of ai outputs |
a key innovation of divrit is its use of a hebrew visual language model which processes undiacritized text as an image allowing diacritic information to be embedded directly within the | input | vision-language models | a key innovation of divrit is its use of a hebrew visual language model which processes undiacritized text as an image allowing diacritic information to be embedded directly within the input s vector representation |
maximal load shedding verification for neural network models of | ac | load shedding | maximal load shedding verification for neural network models of ac line switching |
to address this limitation here we derive partial | differential | stochastic differential | to address this limitation here we derive partial differential equations for the probability density function of tagged-agent trajectories |
preliminary numerical experiments on synthetic datasets and real-world quadratic programming problems in portfolio optimization | demonstrate | bilevel optimization | preliminary numerical experiments on synthetic datasets and real-world quadratic programming problems in portfolio optimization demonstrate the effectiveness and superiority of the proposed algorithm |
these insights are then consolidated into a set of | future | existing approaches | these insights are then consolidated into a set of future research directions |
x-ray diffraction and atomic force microscopy reveal that while thin aln layers 120 nm exhibit compressive strain and smooth step-flow | surfaces | atomic force microscopy | x-ray diffraction and atomic force microscopy reveal that while thin aln layers 120 nm exhibit compressive strain and smooth step-flow surfaces thicker single-layer buffers 550 nm develop tensile strain and increased surface roughness |
this alignment anchors the reasoning of a judge large | language | large language | this alignment anchors the reasoning of a judge large language model llm in structured information and helps reduce the burden of regulatory interpretation and event parsing enabling a focus on the core reasoning step |
we derive and discuss the corresponding scaling functions for the | casimir | super-heisenberg scaling | we derive and discuss the corresponding scaling functions for the casimir energy |
a critical visual computation is to construct global scene properties from activities of early visual cortical | neurons | neural codes | a critical visual computation is to construct global scene properties from activities of early visual cortical neurons which have small receptive fields |
motivated by this question we view our randomness extraction applications as a constructive approach towards understanding the relation between | randomized | randomized algorithm | motivated by this question we view our randomness extraction applications as a constructive approach towards understanding the relation between randomized online algorithms and deterministic rom algorithms |
each scenario features 1 to 50 satellites and 50 to 300 | imaging | achieves state-of-the-art | each scenario features 1 to 50 satellites and 50 to 300 imaging tasks |
the tidal torque theory ttt predicts that galaxy spins are correlated with the surrounding | tidal | tidal field | the tidal torque theory ttt predicts that galaxy spins are correlated with the surrounding tidal field reflecting how angular momentum is acquired during structure formation |
large language models llms have significantly advanced generative | applications | models llms | large language models llms have significantly advanced generative applications in natural language processing nlp |
these results highlight the significant room for improving the | mathematical | mathematical reasoning | these results highlight the significant room for improving the mathematical reasoning in current llms |
while imitation learning il enables effective visual navigation il | policies | imitation learning | while imitation learning il enables effective visual navigation il policies are prone to unpredictable failures in out-of-distribution ood scenarios |
collective action against algorithmic systems which enables | groups | emergent behaviors | collective action against algorithmic systems which enables groups to promote their own interests is poised to grow |
our findings reveal that orientational ordering in hh occurs at much lower pressures than in solid hydrogen by inducing structural changes in the water network and enhancing the coupling of water and | hydrogen | molecular dynamics | our findings reveal that orientational ordering in hh occurs at much lower pressures than in solid hydrogen by inducing structural changes in the water network and enhancing the coupling of water and hydrogen dynamics |
this study highlights the potential of data fusion for estimating non-smooth parameters such as | causal | causal inference | this study highlights the potential of data fusion for estimating non-smooth parameters such as causal dose-response functions |
reciprocity deficits observing ai in the street with | everyday | human-ai interaction | reciprocity deficits observing ai in the street with everyday publics |
results highlight the extreme vulnerability of urban wildlife to anthropogenic pressures demonstrating how | disturbance | human disturbance | results highlight the extreme vulnerability of urban wildlife to anthropogenic pressures demonstrating how disturbance intensity governs system stability |
we then ground these concepts by describing the modern media ecosystem where these | dynamics | opinion dynamics | we then ground these concepts by describing the modern media ecosystem where these dynamics currently unfold including a comparative analysis of platforms and the challenge of information disorders |
for each sfh we compute its predicted stellar mass and present-day | sfr | stellar mass function | for each sfh we compute its predicted stellar mass and present-day sfr and retain only those consistent with the observed values within a 20 tolerance |
a key feature of our approach is the use of an external instrument to identify monetary | policy | monetary policy | a key feature of our approach is the use of an external instrument to identify monetary policy shocks within the multivariate unob- served components modeling framework |
our findings reinforce the need for designing llm-based tools that more clearly communicate their | programming | llm responses | our findings reinforce the need for designing llm-based tools that more clearly communicate their programming capabilities to users |
optical and infrared time-domain studies of | quasars | galactic disk | optical and infrared time-domain studies of quasars remain scarce |
our main findings from simple human memory paradigms also generalize to a | sequence | recurrent neural | our main findings from simple human memory paradigms also generalize to a sequence completion task which more closely resembles the next-token prediction process in llm pre-training |
improving classification of occluded objects through | scene | object detection | improving classification of occluded objects through scene context |
for tree edit distance we introduce a new | static | tree edit | for tree edit distance we introduce a new static reduction that improves the best-known approximation ratio from n 3 4 to tilde o sqrt n and removes the restriction to constant-degree trees |
two-step recording-development approaches in | laser | pulsed laser ablation liquids | two-step recording-development approaches in laser processing of materials |
this paper describes the development and validation process of a trust measure instrument which follows psychometric principles and consists of a 16-items | trust | trustworthy ai | this paper describes the development and validation process of a trust measure instrument which follows psychometric principles and consists of a 16-items trust scale |
unlike methods based on reinforcement learning or imitation | learning | reinforcement learning rl | unlike methods based on reinforcement learning or imitation learning which require specified rewards or labeled expert objectives our gan-based architecture learns directly from the joint distribution of observed holdings and market data |
among the various strategies explored strain | engineering | strain engineering | among the various strategies explored strain engineering has been proven to be a powerful method for tuning ferroelectric polarization in materials |
the basic reproduction number mathcal r _0 was derived and analyzed within stochastic frameworks effectively bridging the gap between these two | modeling | basic reproduction | the basic reproduction number mathcal r _0 was derived and analyzed within stochastic frameworks effectively bridging the gap between these two modeling approaches |
a minimal model of self-organized clusters with | phase | phase transition | a minimal model of self-organized clusters with phase transitions in ecological communities |
by leveraging multiple reconfigurable intelligent surfaces riss and transceiver designs we engineer the ambient | wireless | wireless networks | by leveraging multiple reconfigurable intelligent surfaces riss and transceiver designs we engineer the ambient wireless propagation environment to emulate the operations of a cnn layer |
we begin by isolating a clean and analyzable instance of transformer | reasoning | reasoning capabilities | we begin by isolating a clean and analyzable instance of transformer reasoning that is incompatible with memory as strictly a storage of the local co-occurrences specified during training |
these fields correlate with supernova sn -driven turbulence but whether the scaling is universal across galaxy properties | ism | dwarf galaxies | these fields correlate with supernova sn -driven turbulence but whether the scaling is universal across galaxy properties ism phases and energy budgets remains unclear |
to generate physically and semantically plausible supervision signals we introduce a spatial prior labeling method that guides a | vision-language | vision-language models vlms | to generate physically and semantically plausible supervision signals we introduce a spatial prior labeling method that guides a vision-language model to produce reasonable manipulation orders for distillation |
nearest neighbor matching is equivalent to least squares density ratio estimation and | riesz | riesz regression | nearest neighbor matching is equivalent to least squares density ratio estimation and riesz regression |
we then develop an algorithm for this setting which improves upon prior results by a factor of d in certain regimes and as a corollary achieves a new state-of-the-art | complexity | time complexity | we then develop an algorithm for this setting which improves upon prior results by a factor of d in certain regimes and as a corollary achieves a new state-of-the-art complexity for sub-exponential noise |
the goal of policy learning is to train a | policy | reward models | the goal of policy learning is to train a policy function that recommends a treatment given covariates to maximize population welfare |
applying this framework to a finite-width relu network we find that its hidden layer exhibits an | abstract | abstract representations | applying this framework to a finite-width relu network we find that its hidden layer exhibits an abstract representation at all global minima of the task objective |
this paper studies how to achieve accurate modeling and effective control in | stochastic | predictive control | this paper studies how to achieve accurate modeling and effective control in stochastic nonlinear dynamics with multiple interacting objects |
watermarking schemes for large language models | llms | language models | watermarking schemes for large language models llms have been proposed to identify the source of the generated text mitigating the potential threats emerged from model theft |
a weighted sum of two conflicting objectives energy consumption and travel | time | optimal control | a weighted sum of two conflicting objectives energy consumption and travel time is minimized |
to reduce the reliance on costly annotations of skeletal sequences while maintaining competitive recognition accuracy the task of 3d action recognition with limited training samples also known as semi-supervised 3d | action | action recognition | to reduce the reliance on costly annotations of skeletal sequences while maintaining competitive recognition accuracy the task of 3d action recognition with limited training samples also known as semi-supervised 3d action recognition has been proposed |
aisp outperforms best-of-n sampling in terms of rewards over the number of used samples and achieves higher rewards than other reward-based | test-time | test-time alignment | aisp outperforms best-of-n sampling in terms of rewards over the number of used samples and achieves higher rewards than other reward-based test-time alignment methods |
based on two theoretical results showing that sufficient | wigner | wigner negativity | based on two theoretical results showing that sufficient wigner negativity can certify gme we present five concrete implementation schemes using controlled parity displacement and beamsplitter operations |
our spg-cdenet consists of two key components a spatial prior network and a cross dual | encoder | cross dual encoder network | our spg-cdenet consists of two key components a spatial prior network and a cross dual encoder network |
by converting each dataset into interpretable metadata we prompt an | llm | generative models | by converting each dataset into interpretable metadata we prompt an llm to recommend both model families and hyperparameters |
its interactive interface provides a transparent workflow where users can trace validate and refine the | agent | trustworthy ai | its interactive interface provides a transparent workflow where users can trace validate and refine the agent s reasoning supporting both adaptability and trustworthiness |
fully programmable plasmonic pt-symmetric dimer with epsilon near zero and phase-change | materials | photonic crystal | fully programmable plasmonic pt-symmetric dimer with epsilon near zero and phase-change materials for integrated photonics |
characterizing cities through urban structure form and function the framework uncovers bidirectional causal patterns between urban systems and | traffic | traffic dynamics | characterizing cities through urban structure form and function the framework uncovers bidirectional causal patterns between urban systems and traffic dynamics across 30 cities on six continents |
as a first foray into quantum computational chemistry of actinides this paper compares the method of quantum computed moments qcm as a noisy intermediate-scale quantum algorithm with a single-ancilla version of quantum phase estimation qpe a quantum | algorithm | quantum batteries | as a first foray into quantum computational chemistry of actinides this paper compares the method of quantum computed moments qcm as a noisy intermediate-scale quantum algorithm with a single-ancilla version of quantum phase estimation qpe a quantum algorithm expected to run on fault-tolerant quantum computers |
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