prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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our result nearly matches the o log 2 n approximation guarantee of the | quasi-polynomial-time | polynomial time | our result nearly matches the o log 2 n approximation guarantee of the quasi-polynomial-time algorithm by li xu and zhang icalp 2025 |
calibration has emerged as a foundational goal in trustworthy machine learning in part because of its strong | decision | debiased machine learning | calibration has emerged as a foundational goal in trustworthy machine learning in part because of its strong decision theoretic semantics |
coupled opinion-environmental dynamics in | polarized | opinion formation | coupled opinion-environmental dynamics in polarized and prejudiced populations |
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 | mobile robots | 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 |
in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance | photonic | integrated photonics | in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance photonic devices |
star incorporates a streamlined gated recurrent unit gru -based | recurrent | deep learning | star incorporates a streamlined gated recurrent unit gru -based recurrent neural network reducing model parameters by 33 compared to conventional lstm models while maintaining effective temporal modeling capability |
leveraging this equivalence we propose a novel regularization method for | policy | policy optimization | leveraging this equivalence we propose a novel regularization method for policy learning |
using network gradients it is possible to identify regions where the | network | object detection | using network gradients it is possible to identify regions where the network pays attention during image recognition tasks |
we investigate the connection between accretion signatures and host galaxy properties in the context of how | active | active galactic | we investigate the connection between accretion signatures and host galaxy properties in the context of how active dwarf galaxies are identified |
metacognition and confidence dynamics in advice taking from | generative | generative ai | metacognition and confidence dynamics in advice taking from generative ai |
we further prove that no deterministic online algorithm can achieve a | competitive | online algorithm | we further prove that no deterministic online algorithm can achieve a competitive ratio bounded by 2 for the general cost optimization problem |
linear-quadratic zero-sum stochastic differential | game | quadratic programming | linear-quadratic zero-sum stochastic differential game with partial observation |
these findings suggest that resting-state eeg | connectivity | brain regions | these findings suggest that resting-state eeg connectivity patterns can index stable cognitive traits such as creativity |
results demonstrate that icpo consistently enhances reinforcement learning performance and training stability on mathematical | reasoning | reasoning capabilities | results demonstrate that icpo consistently enhances reinforcement learning performance and training stability on mathematical reasoning benchmarks revealing a scalable and effective rlvr paradigm for lrms |
in the current study using the human connectome project hcp dataset we examined the | relationship | task performance | 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 |
randomization of weighted networks has traditionally been done via the | weighted | mobility networks | randomization of weighted networks has traditionally been done via the weighted configuration model wcm a simple extension of the configuration model where weights are interpreted as bundles of edges |
large language models llms and multi-agent systems mas | offer | large language models llms | large language models llms and multi-agent systems mas offer opportunities to augment dispatchers |
estimation of causal dose-response functions under | data | data fusion | estimation of causal dose-response functions under data fusion |
we release amo-bench to facilitate further research into advancing the | reasoning | reasoning capabilities | we release amo-bench to facilitate further research into advancing the reasoning abilities of language models |
magnetic field dragging in the filamentary | high-mass | massive stars | magnetic field dragging in the filamentary high-mass star-forming region g35 |
notably this algorithm gives an o n 1 2 -approximation for the densest connected k -subgraph problem | improving | -approximation algorithm | notably this algorithm gives an o n 1 2 -approximation for the densest connected k -subgraph problem improving upon the previous best-known approximation ratio of o n 2 3 |
here we present an analytically-tractable model of visual rivalry that quantitatively explains the hysteretic transition between periods of awareness and | suppression | human cognition | here we present an analytically-tractable model of visual rivalry that quantitatively explains the hysteretic transition between periods of awareness and suppression in tcfs |
moreover spikefit introduces a new hardware-friendly fisher | spike | spike train | moreover spikefit introduces a new hardware-friendly fisher spike contribution fsc pruning method showing the state-of-the-art performance |
human driving behavior is modeled as a markov jump | process | markov decision | human driving behavior is modeled as a markov jump process with transitions driven by task difficulty providing a tractable representation of stochastic state switching |
our framework unifies riesz regression for automatic | debiased | debiased machine learning | our framework unifies riesz regression for automatic debiased machine learning covariate balancing targeted maximum likelihood estimation tmle and density-ratio estimation |
the advancements in automatic modulation classification amc have propelled the development of signal sensing and identification technologies in non-cooperative communication scenarios but also enable eavesdroppers to effectively intercept user signals in | wireless | wireless communication | the advancements in automatic modulation classification amc have propelled the development of signal sensing and identification technologies in non-cooperative communication scenarios but also enable eavesdroppers to effectively intercept user signals in wireless communication environments |
as a result the gromov-wasserstein distance can be used to rank edges | depending | gromov-wasserstein distance | as a result the gromov-wasserstein distance can be used to rank edges depending on their criticality with respect to their individual impact on the overall infrastructure and level allowing for prioritizing maintenance emergency planning and enhancing the resilience of the urban transport network |
overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated | reasoning | spatial reasoning | overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated reasoning models |
in this work we introduce a general form of a two-parameter family of | local | quantum dot | in this work we introduce a general form of a two-parameter family of local interactions between quantum walkers conditioned on the internal state of their coins |
the complex kinematic relations among the six actuator paths connecting the fixed base to the moving platform further compound the difficulty in establishing a straightforward and efficient | calibration | calibration plate | the complex kinematic relations among the six actuator paths connecting the fixed base to the moving platform further compound the difficulty in establishing a straightforward and efficient calibration method |
in the past the voter model has been explicitly used to model the impact of propaganda on a dynamic interconnected population and certain factors have been identified that influence the behavior of | voters | opinion dynamics | in the past the voter model has been explicitly used to model the impact of propaganda on a dynamic interconnected population and certain factors have been identified that influence the behavior of voters when under outside influence |
the current best quantum algorithm has the query complexity o n 7 4 which is an improvement over the trivial bound o | n | query complexity | the current best quantum algorithm has the query complexity o n 7 4 which is an improvement over the trivial bound o n 2 |
soliton dynamics in coupled kerr microcavities is an important aspect of | frequency | frequency combs | soliton dynamics in coupled kerr microcavities is an important aspect of frequency comb technologies with applications in optical communication and precision metrology |
although per-iteration cost can exceed that of classical multilevel schemes the method is efficient and consistently outperforms newton s method | gradient | gradient descent | although per-iteration cost can exceed that of classical multilevel schemes the method is efficient and consistently outperforms newton s method gradient descent and the multilevel newton method indicating that second-order methods can outperform first-order methods even when newton s method is initially slow |
current progress in electro-optical modulation within silicon | integrated | photonic circuits | current progress in electro-optical modulation within silicon integrated photonics driven by the unique capabilities of advanced functional materials has led to significant improvements in device performance |
decentralized bilevel optimization has garnered significant attention due to its critical role in solving large-scale machine | learning | bilevel optimization | decentralized bilevel optimization has garnered significant attention due to its critical role in solving large-scale machine learning problems |
accurate world models are essential for enabling agents to think plan and reason effectively in complex | dynamic | spatial reasoning | accurate world models are essential for enabling agents to think plan and reason effectively in complex dynamic settings |
under this hypothesis pattern separation is facilitated when more information from similar stimuli can be | discarded | mutual information | under this hypothesis pattern separation is facilitated when more information from similar stimuli can be discarded rather than preserved |
in this paper we explore the challenges and possibilities of | everyday | everyday publics | in this paper we explore the challenges and possibilities of everyday public engagement with ai in the situated environment of city streets under these paradoxical conditions |
the system supports various sensor models as evidenced by evaluations | conducted | sensor data | the system supports various sensor models as evidenced by evaluations conducted with velodyne hdl-64e ouster os2 128 aeva aeries ii and livox avia sensors |
to further balance performance and automated effort we then develop a minimal intervention | controller | disturbance observer | to further balance performance and automated effort we then develop a minimal intervention controller mic that retains acceptable stability while limiting automation |
our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum | computing | multipartite entanglement | our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum computing to advance their analysis |
we conduct a comprehensive comparison between redllm pretrained with prefix language | modeling | large language | we conduct a comprehensive comparison between redllm pretrained with prefix language modeling lm and decllm pretrained with causal lm at different model scales ranging from sim 150m to sim 8b |
spiking neural networks snns represent a promising algorithmic approach for these systems yet their application to complex control tasks faces two critical challenges 1 the non-differentiable nature of spiking neurons necessitates surrogate gradients with unclear optimization properties and 2 the stateful dynamics of s... | learning | reinforcement learning | spiking neural networks snns represent a promising algorithmic approach for these systems yet their application to complex control tasks faces two critical challenges 1 the non-differentiable nature of spiking neurons necessitates surrogate gradients with unclear optimization properties and 2 the stateful dynamics of s... |
while a multi-agent approach based on large language models llms represents a promising strategy to surpass the | capabilities | llm agents | while a multi-agent approach based on large language models llms represents a promising strategy to surpass the capabilities of single models its success is critically dependent on synergistic team composition |
for ate estimation we estimate the propensity score through direct | bias-correction | ate estimation | for ate estimation we estimate the propensity score through direct bias-correction term estimation |
we investigate the impact of synthetic data generation and lightweight fine-tuning techniques on the ability of large | language | language models | we investigate the impact of synthetic data generation and lightweight fine-tuning techniques on the ability of large language models llms to recognize fallacious arguments using the missci dataset and framework |
these results highlight the significant room for improving the | mathematical | reasoning curriculum | these results highlight the significant room for improving the mathematical reasoning in current llms |
we also demonstrate this effect through experiments on challenging | optimization | optimization problem | we also demonstrate this effect through experiments on challenging optimization problems involving large batches in high dimensions |
this study demonstrates that providing language models with | pragmatic | pragmatic theories | this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context learning approach for tasks to understand implied meanings |
here we go beyond this result and show that mai techniques can significantly enhance the detection capability of | witnesses | multipartite entanglement | here we go beyond this result and show that mai techniques can significantly enhance the detection capability of witnesses for quantum correlations |
besides ac conductivity electric modulus and dielectric properties have been investigated to illustrate the microscopic | conduction | heat conduction | besides ac conductivity electric modulus and dielectric properties have been investigated to illustrate the microscopic conduction mechanism |
our study establishes a framework for integrating ecological interactions into population genetics models and helps illuminate how ecology can affect | evolutionary | phylogenetic diversity | our study establishes a framework for integrating ecological interactions into population genetics models and helps illuminate how ecology can affect evolutionary outcomes |
2 we design an algorithm that gathers all of them in poly n log | lambda | polynomial time | 2 we design an algorithm that gathers all of them in poly n log lambda time where n resp |
however most methods often overlook the dynamic generation process of neural data such as | hierarchical | higher-order visual | however most methods often overlook the dynamic generation process of neural data such as hierarchical brain s visual data within the brain s structure |
under the potential outcomes framework recent research has studied time-series | experiments | time-series experiments | under the potential outcomes framework recent research has studied time-series experiments from the design-based perspective relying solely on the randomness in the design to drive the statistical inference |
we introduce an approach to study the low-dimensional structure of | language | large language | we introduce an approach to study the low-dimensional structure of language models at a model-agnostic level as sequential probabilistic models |
a robust and streamlined method is presented for efficiently extracting spectral diffusion from two-dimensional coherent | spectra | spectral range | a robust and streamlined method is presented for efficiently extracting spectral diffusion from two-dimensional coherent spectra by employing the projection-slice theorem |
in computer vision this long-standing challenge remains limited to | industrial | computer vision | in computer vision this long-standing challenge remains limited to industrial defects or unrealistic synthetically generated anomalies failing to capture the richness and unpredictability of real-world anomalies |
the growing prevalence of negative experiences in online spaces | demands | user experience | the growing prevalence of negative experiences in online spaces demands urgent attention from the human-computer interaction hci community |
extensions to longitudinal data dynamic treatment regimes and multiplicative instrumental | variables | causal effects | extensions to longitudinal data dynamic treatment regimes and multiplicative instrumental variables are further developed |
inference latency stands as a critical bottleneck in the large-scale deployment of large | language | large language | inference latency stands as a critical bottleneck in the large-scale deployment of large language models llms |
starting with an impractical scheme based on the standard martingale central | limit | central limit | starting with an impractical scheme based on the standard martingale central limit theorem we progressively address its limitations from implementation perspectives in the non-asymptotic regime |
for typical cortical stimuli tens of milliseconds this places the | functional | fmri data | for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in biological circuits |
however the potential perceptual demands of viewing virtual annotations while navigating a physical environment could impact user efficacy and safety and the implications of these | demands | user experience | however the potential perceptual demands of viewing virtual annotations while navigating a physical environment could impact user efficacy and safety and the implications of these demands are not well understood |
we develop an efficient algorithm to solve this bilevel | optimization | gradient descent | we develop an efficient algorithm to solve this bilevel optimization problem which computes parameter gradients without backpropagating through the solver |
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 | tree 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 |
wimhf a method to explain feedback data using | sparse | sparse autoencoders | wimhf a method to explain feedback data using sparse autoencoders |
our recursive algorithm generates each spanning | tree | tree embedding | our recursive algorithm generates each spanning tree in constant amortized time using o n 2 space |
accurate and timely travel information is an asset for enhancing passenger | travel | travel information | accurate and timely travel information is an asset for enhancing passenger travel experience during normal traffic and for mitigating the discomforts during disruptions |
the proposed approach yields a numerical method that provably executes in linear | time | computationally efficient | the proposed approach yields a numerical method that provably executes in linear time with respect to the number of nodes and edges in a graph |
when treatment effects are heterogeneous however such specifications generally fail to recover this | average | average treatment effect | when treatment effects are heterogeneous however such specifications generally fail to recover this average effect |
most classical visual navigation methods are restricted to single-goal single-modality and closed set | goal | multi-goal visual | most classical visual navigation methods are restricted to single-goal single-modality and closed set goal settings |
immersive applications call for synthesizing spatiotemporal 4d content from casual | videos | video generation | immersive applications call for synthesizing spatiotemporal 4d content from casual videos without costly 3d supervision |
anomaly detection in time-series data is a critical challenge with significant | implications | time series | anomaly detection in time-series data is a critical challenge with significant implications for network security |
our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of | llms | models llms | our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of llms architectures |
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 |
this observation reduces irl to two off-the-shelf supervised | learning | machine learning | this observation reduces irl to two off-the-shelf supervised learning problems probabilistic classification to estimate the behavior policy and iterative regression to solve the fixed point |
to address these problems we develop a general nonparametric approach that accommodates both discrete and continuous settings for testing | causal | causal effects | to address these problems we develop a general nonparametric approach that accommodates both discrete and continuous settings for testing causal hypothesis under unmeasured confounders |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | quantum networks | designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum computing particularly for noisy intermediate-scale quantum nisq devices where circuit efficiency and resilience to errors are paramount |
then we incorporate two control actions namely vector | control | optimal control | then we incorporate two control actions namely vector control and incentives to adopt protection measures |
to account for uncertainty the underlying optimal power | flow | power flow | to account for uncertainty the underlying optimal power flow opf routines have to be modified |
this study develops a real-time framework for estimating | pedestrian | traffic dynamics | this study develops a real-time framework for estimating pedestrian crash risk at signalized intersections under heterogeneous non-lane-based traffic |
5 v reduction in operating voltage at a current level of 400 a cm 2 and a | decrease | breakdown voltage | 5 v reduction in operating voltage at a current level of 400 a cm 2 and a decrease in differential on-resistance from 6 |
pragmatic theories enhance understanding of | implied | pragmatic theories | pragmatic theories enhance understanding of implied meanings in llms |
by separately selecting actions for longitudinal and lateral control the introduced policies over combined and hybrid options obtain the same expressiveness and flexibility that human drivers have while being easier to interpret than classical | policies | control strategy | by separately selecting actions for longitudinal and lateral control the introduced policies over combined and hybrid options obtain the same expressiveness and flexibility that human drivers have while being easier to interpret than classical policies over continuous actions |
among these methods deep neural networks have been widely adopted due to their performance and | accessibility | neural network | among these methods deep neural networks have been widely adopted due to their performance and accessibility but they require large high-quality datasets |
we present advancements in decoding visual stimuli using | linear | encoding models | we present advancements in decoding visual stimuli using linear models at the individual subject level |
wilson-cowan and amari-type models capture nonlinear neural population dynamics providing a fundamental framework for modeling how | sensory | receptive fields | wilson-cowan and amari-type models capture nonlinear neural population dynamics providing a fundamental framework for modeling how sensory and other exogenous inputs shape activity in neural tissue |
viewing llms as implicit repositories of human knowledge we propose evontree a novel framework that leverages a small set of high-quality ontology rules to systematically extract validate and enhance domain knowledge within | llms | large language models llms | viewing llms as implicit repositories of human knowledge we propose evontree a novel framework that leverages a small set of high-quality ontology rules to systematically extract validate and enhance domain knowledge within llms without requiring extensive external datasets |
to resolve the dilemma we propose pvmark a plugin based on zero-knowledge proof zkp enabling the watermark | detection | watermark detection | to resolve the dilemma we propose pvmark a plugin based on zero-knowledge proof zkp enabling the watermark detection process to be publicly verifiable by third parties without disclosing any secret key |
as an application we determine optimal solutions of both the primal and the dual problem using this duality in the case of quantum bits and distinguished cost operators with certain restrictions on the | states | quantum advantage | as an application we determine optimal solutions of both the primal and the dual problem using this duality in the case of quantum bits and distinguished cost operators with certain restrictions on the states involved |
stochastic state estimation methods for continuum robots | crs | state estimation | stochastic state estimation methods for continuum robots crs often struggle to balance accuracy and computational efficiency |
in this paper we systematically evaluate llms reasoning capabilities in the | normative | normative reasoning | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
all d otimes d dimensional entangled states are useful for the antidiscrimination of quantum measurements when | d | multipartite entanglement | all d otimes d dimensional entangled states are useful for the antidiscrimination of quantum measurements when d is even |
we robustify our test both against this term and finite sample bias and illustrate its excellent | performance | test statistics | we robustify our test both against this term and finite sample bias and illustrate its excellent performance and practical relevance in a monte carlo study and a real data empirical example |
the results demonstrate that the agent s training against opponents enables deliberate overtaking behaviours with an overtaking rate of 87 compared 56 for an | agent | learning agents | the results demonstrate that the agent s training against opponents enables deliberate overtaking behaviours with an overtaking rate of 87 compared 56 for an agent trained just to race |
the continuous functional perspective unifies | spatial | spatial decay | the continuous functional perspective unifies spatial econometrics with mathematical physics providing theoretically grounded methods for boundary detection exposure quantification and policy evaluation across environmental economics banking and healthcare applications |
using network gradients it is possible to identify regions where the | network | neural network | using network gradients it is possible to identify regions where the network pays attention during image recognition tasks |
robotic assistant completing collaborative | tasks | multi-robot collaboration | robotic assistant completing collaborative tasks with dexterous vision-language-action models |
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