prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
|---|---|---|---|
existing approaches often employ an external optimization loop such as an evolutionary | algorithm | diffusion models | existing approaches often employ an external optimization loop such as an evolutionary algorithm to the diffusion model |
to address this issue this paper investigates blockage-resilient near-field beam training based on self-accelerating airy | beam | airy beam | to address this issue this paper investigates blockage-resilient near-field beam training based on self-accelerating airy beam which can propagate along a curved trajectory to circumvent obstacles |
it provides smoother rewards based on the similarity between the model s actions and expert | actions | reward density | it provides smoother rewards based on the similarity between the model s actions and expert actions extracted from the sft dataset in a step-wise manner |
to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual cognition which explores multi-level semantics and | correlations | fmri data | to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual cognition which explores multi-level semantics and correlations without fine-tuning of generative models |
emotion-coherent reasoning for multimodal | llms | llm reasoning | emotion-coherent reasoning for multimodal llms via emotional rationale verifier |
in this paper we systematically evaluate llms reasoning | capabilities | large language models llms | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
decentralized bilevel optimization has garnered | significant | bilevel optimization | decentralized bilevel optimization has garnered significant attention due to its critical role in solving large-scale machine learning problems |
8 probability that arbitrarily advanced technology could induce vacuum decay if our | vacuum | vacuum decay | 8 probability that arbitrarily advanced technology could induce vacuum decay if our vacuum is metastable |
the factorization converts the nested bayesian dependency into a chain structure enabling efficient parallel computation at the lower level an invariant extended kalman filter with state augmentation estimates trajectories while a derivative | filter | state estimation | the factorization converts the nested bayesian dependency into a chain structure enabling efficient parallel computation at the lower level an invariant extended kalman filter with state augmentation estimates trajectories while a derivative filter computes analytical gradients in parallel for upper-level gradient upda... |
through increased levels of perceived agency and immersive environments my work aims to merge the human elements of live theater with the dynamic potential of | virtual | physical virtual | through increased levels of perceived agency and immersive environments my work aims to merge the human elements of live theater with the dynamic potential of virtual entities and ai agents |
this paper deals with the optimal synthesis of aperture fields for radiating near-field | communications | wireless communication | this paper deals with the optimal synthesis of aperture fields for radiating near-field communications in obstructed environments |
while there are many available methods to assess machine learning calibration and recalibrate faulty predictions less effort has been spent on developing approaches that continually monitor predictive models for potential loss of | calibration | machine learning | while there are many available methods to assess machine learning calibration and recalibrate faulty predictions less effort has been spent on developing approaches that continually monitor predictive models for potential loss of calibration as time passes |
stellar-mass compact objects cos embedded in active | galactic | active galactic | stellar-mass compact objects cos embedded in active galactic nucleus agn discs are commonly assumed to accrete via bondi or bondi-hoyle-lyttleton bhl prescriptions neglecting gas angular momentum |
in the present study we introduce and characterize | network | quantum channels | in the present study we introduce and characterize network nonlocality breaking channels |
we investigate the connection between accretion signatures and host galaxy properties in the context of how | active | massive galaxies | we investigate the connection between accretion signatures and host galaxy properties in the context of how active dwarf galaxies are identified |
considering uncorrelated classically correlated and entangled initial | states | quantum correlations | considering uncorrelated classically correlated and entangled initial states we show that entanglement enables the superposed causal order to generate coherence in the working medium thereby enhancing work extraction and efficiency beyond the separable and uncorrelated cases |
we provide a view of climate networks through a triad of frameworks and associated paradigms a networks of data where both geographical | nodes | correlation network | we provide a view of climate networks through a triad of frameworks and associated paradigms a networks of data where both geographical nodes and their links arcs are determined according to some metrics and or statistical criteria b climate data over networks where the structure of the network for both vertices and ed... |
based on this framework we formulate a max-min fairness optimization problem that jointly optimizes power | allocation | resource allocation | based on this framework we formulate a max-min fairness optimization problem that jointly optimizes power allocation message splitting and time slot scheduling to maximize the minimum achievable rate across uds |
different from existing motion representations we aim to estimate an hr | motion | point tracking | different from existing motion representations we aim to estimate an hr motion trajectory with high-quality from a single motion-blurred image |
our largest instance involves all-to-all connectivity with 2000 two-qubit gates which h2 can produce the target | peaked | peaked circuits | our largest instance involves all-to-all connectivity with 2000 two-qubit gates which h2 can produce the target peaked bitstring directly in under 2 hours |
modeling and scheduling of fusion patterns in | autonomous | multi-drone racing | modeling and scheduling of fusion patterns in autonomous driving systems extended version |
the observed behavior has origins in the electromagnetic | interference | optical interference | the observed behavior has origins in the electromagnetic interference effects taking place between the two surfaces of the thin crystals |
we find that dwarf agn selected by infrared colors are the most distinct | population | star clusters | we find that dwarf agn selected by infrared colors are the most distinct population with the highest star formation rates and lowest stellar masses |
our analysis reveals a rich phase diagram with four distinct phases -- paramagnetic baxter langle sigma rangle and antiferromagnetic -- and diverse types of | phase | phase transition | our analysis reveals a rich phase diagram with four distinct phases -- paramagnetic baxter langle sigma rangle and antiferromagnetic -- and diverse types of phase transitions |
moreover we show how these two phases can be identified experimentally using inelastic | electron | electron microscopy | moreover we show how these two phases can be identified experimentally using inelastic electron tunneling spectroscopy iets |
the diminishing of star formation is accompanied by size differentiating as | quiescent | bulge stars | the diminishing of star formation is accompanied by size differentiating as quiescent galaxies are more compact than star-forming galaxies at fixed stellar mass |
a unified theory for causal inference direct debiased | machine | debiased machine learning | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
a classification model is said to be well | calibrated | predictive performance | a classification model is said to be well calibrated if its predicted probabilities correspond with the rates events actually occur |
the system features a counter-propagating beam at the same wavelength as the | quantum | photonic circuits | the system features a counter-propagating beam at the same wavelength as the quantum state which simultaneously actively stabilizes the cavity and after transmission acts as the local oscillator for homodyne detection |
in this paper we propose catch a plug-and-play framework for | cross-domain | models vlms | in this paper we propose catch a plug-and-play framework for cross-domain adaptation that improves the generalization of vqa models while requiring minimal changes to their core architecture |
this enables mammals to maintain or even accelerate the time to initiate the | adaptive | adaptive immune | this enables mammals to maintain or even accelerate the time to initiate the adaptive immune response as body size increases |
ai agents perform near the floor on rli with the highest-performing | agent | language agents | ai agents perform near the floor on rli with the highest-performing agent achieving an automation rate of 2 |
generative artificial intelligence genai can aid | humans | artificial intelligence | generative artificial intelligence genai can aid humans in a wide range of tasks but its effectiveness critically depends on users being able to evaluate the accuracy of genai outputs and their own expertise |
this is a concise pedagogical introduction to the dynamic field of | open | quantum walk | this is a concise pedagogical introduction to the dynamic field of open quantum systems governed by markovian master equations |
this note introduces a unified theory for causal inference that integrates | riesz | riesz regression | this note introduces a unified theory for causal inference that integrates riesz regression covariate balancing density-ratio estimation dre targeted maximum likelihood estimation tmle and the matching estimator in average treatment effect ate estimation |
the proposed optimization problem is a highly coupled | non-convex | optimization problem | the proposed optimization problem is a highly coupled non-convex mixed-integer problem |
we present the first such improvement a k -mismatch index with o n log k-1 n | space | compressed indexing | we present the first such improvement a k -mismatch index with o n log k-1 n space and the same query time as k -errata trees |
we study a coordinated multi-point comp transmission where two base stations bss each supported by a pinching antenna system pass are deployed to jointly serve | communication | wireless communication | we study a coordinated multi-point comp transmission where two base stations bss each supported by a pinching antenna system pass are deployed to jointly serve communication users under spatial division multiple access sdma technology |
our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of normative | reasoning | reasoning capabilities | our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of normative reasoning and display cognitive biases similar to those observed in psychological studies of human reasoning |
a unified theory for causal inference direct debiased machine learning via | bregman-riesz | riesz regression | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
thus the formulation and algorithms provide a multi-layer approach that spans target | tracking | multi-object tracking | thus the formulation and algorithms provide a multi-layer approach that spans target tracking bayesian signal processing and the gtnn for group intent inference |
this leads to an imbalanced optimization that drives the model to prioritize simple reasoning skills while hindering its ability to tackle more complex | reasoning | reasoning curriculum | this leads to an imbalanced optimization that drives the model to prioritize simple reasoning skills while hindering its ability to tackle more complex reasoning tasks |
for sources with more than 50 counts we obtain their x-ray | spectral | spectral energy distribution | for sources with more than 50 counts we obtain their x-ray spectral properties |
we introduce human ai collaborative uncertainty | quantification | uncertainty quantification | we introduce human ai collaborative uncertainty quantification a framework that formalizes how an ai model can refine a human expert s proposed prediction set with two goals avoiding counterfactual harm ensuring the ai does not degrade correct human judgments and complementarity enabling recovery of correct outcomes th... |
in the current study using the human connectome | project | functional connectivity | in the current study using the human connectome project hcp dataset we examined the relationship between brain activation and working memory performance in two conditions i |
we explain the emergence of higher-order dtc | phases | -dtc phases | we explain the emergence of higher-order dtc phases through classical phase portraits of the system connected with spin coherent states scss |
explicitly our model highlights an efficiency threshold for unconditional advantage of single photons over laser along with insights on the interplay between | single-photon | single photons | explicitly our model highlights an efficiency threshold for unconditional advantage of single photons over laser along with insights on the interplay between single-photon purity and collected brightness in the performances of bb84 |
such misconceptions may lead to over-reliance unproductive practices or insufficient | quality | llm responses | such misconceptions may lead to over-reliance unproductive practices or insufficient quality control in llm-assisted programming |
by contrast m 3 and m 4 display explosive percolation that still corresponds to a continuous | phase | phase transition | by contrast m 3 and m 4 display explosive percolation that still corresponds to a continuous phase transition with m 4 producing a significantly sharper and clearer order-disorder transition |
these results suggest that llms can serve as | practical | models llms | 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 |
our results underline the potential of generative | models | quantum channels | our results underline the potential of generative models as a general-purpose methodology for automated quantum circuit design offering a promising path towards more efficient quantum algorithms and accelerating scientific discovery in the quantum domain |
we demonstrate this digital approach over a | free-space | optical communication | we demonstrate this digital approach over a free-space optical delay line of 1 m and over an 40 km fiber link |
third we propose a practical method for enhancing local calibration in neural networks which enforces alignment between predicted probabilities and | local | local calibration | third we propose a practical method for enhancing local calibration in neural networks which enforces alignment between predicted probabilities and local estimates of class frequencies using the jensen-shannon distance |
a single graphical user interface gui controls all the rovers providing a simple overview of the | robotic | robotic systems | a single graphical user interface gui controls all the rovers providing a simple overview of the robotic mission |
in the limited cases where ground truth is available through exact classical simulation we find that it agrees with the results we obtain from the | quantum | quantum technologies | in the limited cases where ground truth is available through exact classical simulation we find that it agrees with the results we obtain from the quantum device |
trajectory planning for mobile robots in cluttered | environments | mobile robots | trajectory planning for mobile robots in cluttered environments remains a major challenge due to narrow passages where conventional methods often fail or generate suboptimal paths |
the considered system consists of a multi-antenna access point ap | multiple | wireless networks | the considered system consists of a multi-antenna access point ap multiple heterogeneous user devices uds and an deployed irs to enhance both uplink and downlink transmission |
generative artificial intelligence genai can aid | humans | ai systems | generative artificial intelligence genai can aid humans in a wide range of tasks but its effectiveness critically depends on users being able to evaluate the accuracy of genai outputs and their own expertise |
in this paper we give a streaming algorithm that achieves a 1 varepsilon -approximation using frac rn varepsilon 2 log 2 n log r cdot text poly log log m bits of space matching the sample complexity of the best known offline algorithm up to text poly log log | m | online algorithm | in this paper we give a streaming algorithm that achieves a 1 varepsilon -approximation using frac rn varepsilon 2 log 2 n log r cdot text poly log log m bits of space matching the sample complexity of the best known offline algorithm up to text poly log log m factors |
link-kg llm-driven coreference-resolved knowledge | graphs | coreference resolution | link-kg llm-driven coreference-resolved knowledge graphs for human smuggling networks |
in such cases we observe that the performance of gc deteriorates significantly while existing robust | graph | graph neural | in such cases we observe that the performance of gc deteriorates significantly while existing robust graph learning technologies offer only limited effectiveness |
such distributions of emission rates enable us to | compute | spontaneous emission | such distributions of emission rates enable us to compute and directly interpret the time-resolved decay as observed in experiments |
to evaluate the system-level performance of nonlinear sis we present a case study where sis structures are optimized to minimize the symbol error rate ser in an mimo system with | sis | nonlinear sis | to evaluate the system-level performance of nonlinear sis we present a case study where sis structures are optimized to minimize the symbol error rate ser in an mimo system with sis deployed at both the transmitter and receiver sides using only statistical channel information |
we suggest that interactions between parallel subnetworks in the brain may underlie such learning we present a model of representation learning by ensembles of neural networks where each network learns to encode stimuli into an | abstract | neural representations | we suggest that interactions between parallel subnetworks in the brain may underlie such learning we present a model of representation learning by ensembles of neural networks where each network learns to encode stimuli into an abstract representation space by cross-supervising interactions with other networks for inpu... |
currently machine learning methods are developing rapidly in | polymer | machine learning | currently machine learning methods are developing rapidly in polymer material research although they have significantly accelerated material prediction and design their complexity has also caused difficulties in understanding and application for researchers in traditional fields |
these solutions are then employed to evaluate the optical absorption coefficients and | refractive | refractive index | these solutions are then employed to evaluate the optical absorption coefficients and refractive index changes including both linear and third-order nonlinear contributions |
together these results provide an explanation for the widely observed | abstract | neural networks | together these results provide an explanation for the widely observed abstract representations in both the brain and artificial neural networks as well as a mathematically tractable toolkit for understanding the emergence of different kinds of representations in task-optimized feature-learning network models |
we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized | riesz | debiased machine learning | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
we make use of this algorithmic framework to analyse memory effects in disease | evolution | evolutionary dynamics | we make use of this algorithmic framework to analyse memory effects in disease evolution in a population |
quantization is the key method for reducing inference latency power and memory footprint of | generative | generative models | quantization is the key method for reducing inference latency power and memory footprint of generative ai models |
through the judge s eyes inferred thinking | traces | retrospective confidence | through the judge s eyes inferred thinking traces improve reliability of llm raters |
sequential activation of place-tuned neurons in an animal during navigation is typically interpreted as reflecting the | sequence | recurrent neural | sequential activation of place-tuned neurons in an animal during navigation is typically interpreted as reflecting the sequence of input from adjacent positions along the trajectory |
currently hierarchically deep neural networks dnns have played a significant role as tools for mining the core features of | complex | neural networks | currently hierarchically deep neural networks dnns have played a significant role as tools for mining the core features of complex data |
the system parses user intent into structured goals monitors execution via automated verification and exposes inter-agent dependencies through an | interactive | human-ai interaction | the system parses user intent into structured goals monitors execution via automated verification and exposes inter-agent dependencies through an interactive planning panel |
order-unity star formation efficiencies sfe in early galaxies may explain the overabundance of bright galaxies observed by | jwst | massive galaxies | order-unity star formation efficiencies sfe in early galaxies may explain the overabundance of bright galaxies observed by jwst at high redshift |
the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual | encoder | deep network | the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual encoder network |
this study considers the estimation of the | average | average treatment | this study considers the estimation of the average treatment effect ate |
the considered system consists of a multi-antenna access point ap multiple heterogeneous user devices uds and an deployed irs to enhance both | uplink | uplink communication | the considered system consists of a multi-antenna access point ap multiple heterogeneous user devices uds and an deployed irs to enhance both uplink and downlink transmission |
while pruning and low-rank approximation have each | demonstrated | models llms | while pruning and low-rank approximation have each demonstrated promising performance individually their synergy for llms remains underexplored |
these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across | regions | fmri data | these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across regions or models |
our work identifies how enhanced coulomb interactions in two dimensions can stabilize this phase at significantly higher temperatures proposing promising material candidates for observing these | collective | phase transitions | our work identifies how enhanced coulomb interactions in two dimensions can stabilize this phase at significantly higher temperatures proposing promising material candidates for observing these collective states |
we formulate the safety filter design as a convex linear matrix inequality lmi optimization problem that simultaneously computes a robust controlled invariant rci | ellipsoidal | safety filter | we formulate the safety filter design as a convex linear matrix inequality lmi optimization problem that simultaneously computes a robust controlled invariant rci ellipsoidal set and its associated state-feedback control law |
yet when these vlms are adapted to the action modality it remains unclear to what extent their original | vl | vla models | yet when these vlms are adapted to the action modality it remains unclear to what extent their original vl representations and knowledge are preserved |
a gaussian decomposition of the molecular gas data reveals complex | oh | molecular gas | a gaussian decomposition of the molecular gas data reveals complex oh emission and absorption across our targets |
human feedback is critical for aligning ai | systems | generative ai | human feedback is critical for aligning ai systems to human values |
evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future | environmental | evolutionary game | evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future environmental changes |
this way prior domain knowledge can be incorporated into the learning process and the learned driving | behaviour | prior knowledge | this way prior domain knowledge can be incorporated into the learning process and the learned driving behaviour can be constrained more easily |
efficient spectral efficiency maximization design for irs-aided | mimo | spectral efficiency | efficient spectral efficiency maximization design for irs-aided mimo systems |
we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of | llms | models llms | we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of llms weaknesses are unfixable by the current technologies and propose directions in the constructivist paradigm for the changes in education that ensure long-term advantages of humans over ai tools |
we provide the first multi-wavelength polarisation decomposed characterisation of the principal modes of a | photonic | photonic crystal | we provide the first multi-wavelength polarisation decomposed characterisation of the principal modes of a photonic lantern |
we develop a direct debiased machine learning framework comprising neyman targeted | estimation | machine learning | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum | computing | quantum algorithm | our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum computing to advance their analysis |
yet the question of its point convergence had | remained | linear convergence | yet the question of its point convergence had remained open |
in each round a design agent proposes targeted morphological modifications and a control | agent | learning agents | in each round a design agent proposes targeted morphological modifications and a control agent devises a reward function tailored to exploit the new design |
we revisit a recent algorithm in the literature and show that it does not have a competitive | ratio | competitive ratio | we revisit a recent algorithm in the literature and show that it does not have a competitive ratio of 2 as claimed by constructing a counterexample |
we identify potential trade-offs between collective | size | group size | we identify potential trade-offs between collective size and coordination noise for example a collective that is twice as big but with four times more noise experiencing worse outcomes than the smaller more coordinated one |
robust graph condensation via classification | complexity | graph neural | robust graph condensation via classification complexity mitigation |
debiased machine learning typically requires estimation of the | riesz | riesz representer | debiased machine learning typically requires estimation of the riesz representer and the regression function |
we show that for every learning algorithm there exists an auxiliary | algorithm | machine learning | we show that for every learning algorithm there exists an auxiliary algorithm that does not memorize and which yields comparable generalization error for any data distribution |
simulation studies further demonstrate the accuracy and practical value of the | proposed | simulation studies | simulation studies further demonstrate the accuracy and practical value of the proposed approach |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.