prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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while there are a plethora of works showing the effectiveness of | llms | llm reasoning | while there are a plethora of works showing the effectiveness of llms in generating step-by-step solutions through chain-of-thought cot reasoning on reasoning benchmarks little is understood about whether the generated cot is helpful for end-users in improving their ability to comprehend mathematical reasoning problems and detect errors hallucinations in llm-generated solutions |
reinforcement learning rl algorithms are designed to optimize problem-solving by | learning | reinforcement learning rl | reinforcement learning rl algorithms are designed to optimize problem-solving by learning actions that maximize rewards a task that becomes particularly challenging in random and nonstationary environments |
empirical results on real-world dual graphs show convergence under target distributions unrelated to | spanning | spanning trees | empirical results on real-world dual graphs show convergence under target distributions unrelated to spanning trees |
dataset bias where data points are skewed to certain concepts is ubiquitous in | machine | machine learning | dataset bias where data points are skewed to certain concepts is ubiquitous in machine learning datasets |
next we consider the case of multiple sensors each with its own | wireless | wireless communication | next we consider the case of multiple sensors each with its own wireless transmitter queue and show that our analysis extends to the case of multiple homogeneous sensors |
approximately optimal distributed controls for high-dimensional stochastic | systems | control systems | approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls |
in the current work we provide theoretical results for testing in dependence between pairs of paths of most commonly studied non-stationary gaussian processes - standard brownian motion and fractional | brownian | brownian motion | in the current work we provide theoretical results for testing in dependence between pairs of paths of most commonly studied non-stationary gaussian processes - standard brownian motion and fractional brownian motion fbm |
multimodal large language models mllms have advanced | vision-language | vision-language models | multimodal large language models mllms have advanced vision-language reasoning and are increasingly deployed in embodied agents |
furthermore by using the meta-algorithm with the double greedy algorithm we obtain a 1 2 -approximation for unconstrained non-monotone | submodular | -approximation algorithm | furthermore by using the meta-algorithm with the double greedy algorithm we obtain a 1 2 -approximation for unconstrained non-monotone submodular maximization under noise |
we propose a novel approach for dynamic negative prompting in | diffusion | diffusion models | we propose a novel approach for dynamic negative prompting in diffusion models that leverages vision-language models vlms to adaptively generate negative prompts during the denoising process |
through the judge s eyes inferred thinking traces improve reliability of | llm | llm reasoning | through the judge s eyes inferred thinking traces improve reliability of llm raters |
the goal of policy learning is to train a | policy | policy learning | the goal of policy learning is to train a policy function that recommends a treatment given covariates to maximize population welfare |
this work presents a physics-informed machine learning framework for modeling and predicting sisr in the | stochastic | langevin dynamics | this work presents a physics-informed machine learning framework for modeling and predicting sisr in the stochastic fitzhugh-nagumo neuron |
first we formally define multiclass local calibration and | establish | local calibration | first we formally define multiclass local calibration and establish its relationship with strong calibration |
normative reasoning is a type of reasoning that involves | normative | reasoning capabilities | normative reasoning is a type of reasoning that involves normative or deontic modality such as obligation and permission |
we design meta-algorithms that reduce the problem to the unweighted | approximate | pattern matching | we design meta-algorithms that reduce the problem to the unweighted approximate maximum cardinality matching mcm problem |
discovering causal relationships using proxy variables under | unmeasured | causal effects | discovering causal relationships using proxy variables under unmeasured confounding |
cave detecting and explaining commonsense anomalies in | visual | spatial reasoning | cave detecting and explaining commonsense anomalies in visual environments |
a robust measurement instrument is essential to correctly evaluate | trust | trustworthy ai | a robust measurement instrument is essential to correctly evaluate trust from a human-centered perspective |
the results demonstrate the power benefits of | resolution | brain decoding | the results demonstrate the power benefits of resolution reconfigurable front-ends and their wide applicability to neural decoding problems |
to investigate the neural representations that | emerge | neural networks | to investigate the neural representations that emerge in these networks we develop an analytical framework that maps the optimization over the network weights into a mean-field problem over the distribution of neural preactivations |
on quantile treatment effects rank similarity and variation of | instrumental | average treatment effect | on quantile treatment effects rank similarity and variation of instrumental variables |
to formalize this we extend the concept of data informativity by requiring the existence of a controller that stabilizes all | systems | control systems | 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 |
the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate collision rate | path | motion planning | the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate collision rate path efficiency and re-planning efficiency in dynamic and partially observable environments |
its time complexity is o m log l n log n where n is the size of the domain of mathcal i | m | query complexity | its time complexity is o m log l n log n where n is the size of the domain of mathcal i m is the number of nonzero instances of atomic roles in mathcal i and l is the number of distinct fuzzy values used in such instances plus 2 |
we develop a general framework for causal | effect | causal inference | we develop a general framework for causal effect estimation that relaxes the commonly assumed requirement that exposures contain higher-frequency variation than confounders |
to mitigate this mixture-of-experts moe architectures activate only a small portion of parameters during | inference | moe inference | to mitigate this mixture-of-experts moe architectures activate only a small portion of parameters during inference significantly lowering both memory demand and computational overhead |
researchers often use specifications that correctly estimate the | average | average treatment | researchers often use specifications that correctly estimate the average treatment effect under the assumption of constant effects |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of | local | galactic disk | the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of local group dwarf galaxies |
demonstrating broad applicability our system has been evaluated across diverse domains including operations research | machine | machine learning | demonstrating broad applicability our system has been evaluated across diverse domains including operations research machine learning gpu kernel optimization and classical mathematical problems |
this work lays a foundation for future quantum | computing | quantum computing | this work lays a foundation for future quantum computing investigations of more complex and physically rich fermion-boson quantum field theories in higher dimensions |
the model is trained on heterogeneous qps to minimize the | expected | policy learning | the model is trained on heterogeneous qps to minimize the expected objective value evaluated on the projected solutions |
the framework provides practical tools for detecting when localized | treatments | average treatment | the framework provides practical tools for detecting when localized treatments become systemic and identifying critical thresholds for policy intervention |
the latter is based on a fisher information matrix measuring the | sensitivity | surrogate brain | the latter is based on a fisher information matrix measuring the sensitivity of the neural activity to changes in the projection space |
in this study we used a data-driven network approach to examine whether resting-state | eeg | human brain | in this study we used a data-driven network approach to examine whether resting-state eeg connectivity patterns differentiate individuals according to their creative abilities |
in this work we present divrit a novel system for hebrew diacritization that frames the task as a zero-shot | classification | vision-language models | in this work we present divrit a novel system for hebrew diacritization that frames the task as a zero-shot classification problem |
we introduce a general diploid population model with self-fertilization and possible overlapping generations and study the genealogy of a sample of n genes as the population | size | large population | we introduce a general diploid population model with self-fertilization and possible overlapping generations and study the genealogy of a sample of n genes as the population size n tends to infinity |
the evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and | evolutionary | evolutionary game | the evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics |
task and motion planning tamp integrates high-level task | planning | obstacle avoidance | task and motion planning tamp integrates high-level task planning with low-level motion feasibility but existing methods are costly in long-horizon problems due to excessive motion sampling |
control-var can estimate average treatment effects on the treated for dummy policies or | average | treatment effect | control-var can estimate average treatment effects on the treated for dummy policies or average causal responses over time for continuous policies |
jacobian-based interpretation of nonlinear neural | encoding | encoding models | jacobian-based interpretation of nonlinear neural encoding model |
tilde o n epsilon d update time and o 1 rounds we obtain o_ | epsilon | -approximation algorithm | tilde o n epsilon d update time and o 1 rounds we obtain o_ epsilon log n -approximate dynamic and mpc algorithms for k -median and earth-mover distance in mathbb r d |
we propose geometrically-regularized world models grwm which enforces that consecutive points along a natural sensory trajectory remain close in latent | representation | world models | we propose geometrically-regularized world models grwm which enforces that consecutive points along a natural sensory trajectory remain close in latent representation space |
we formulate the problem as the minimization of the total transmit power subject to signal-to-interference-plus-noise | ratio | signal-to-noise ratio | we formulate the problem as the minimization of the total transmit power subject to signal-to-interference-plus-noise ratio sinr constraints for communication users and mean-squared-error mse constraints for radar sensing |
modeling predator-prey dynamics with stochastic differential equations patterns of collective hunting and nonlinear | predation | ecological interactions | modeling predator-prey dynamics with stochastic differential equations patterns of collective hunting and nonlinear predation effects |
our findings reveal asymmetric bidirectional causality with urban systems exerting stronger influences on | traffic | traffic dynamics | our findings reveal asymmetric bidirectional causality with urban systems exerting stronger influences on traffic dynamics than the reverse in most cities |
many believe that intracortical axons conduct signals too slowly to bring the | contextual | surrogate brain | many believe that intracortical axons conduct signals too slowly to bring the contextual information from receptive fields of other neurons |
we investigate a quantum heat engine where energy exchanges are driven by generalized | measurements | quantum coherence | we investigate a quantum heat engine where energy exchanges are driven by generalized measurements and the sequence of these operations is coherently controlled in a superposition of causal orders |
distributed quantum computing dqc provides a promising route toward scalable quantum | computation | open quantum | distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches |
this paper focuses on the transceiver design of ofdm systems based on dms provides an illustration of the potential of dms in | wireless | wireless systems | this paper focuses on the transceiver design of ofdm systems based on dms provides an illustration of the potential of dms in wireless transceivers and points out the related research directions brought by dms |
large language models llms excel at general tasks but underperform in specialized | domains | language agents | large language models llms excel at general tasks but underperform in specialized domains like economics and psychology which require deep principled understanding |
building new end-effectors in simulation the | robot | mobile robots | building new end-effectors in simulation the robot can identify the general tool geometries most beneficial for a task |
coherent perfect absorption zero reflection without | linewidth | optical interference | coherent perfect absorption zero reflection without linewidth suppression |
a theory of the mechanics of information generalization through measurement of uncertainty | learning | policy learning | a theory of the mechanics of information generalization through measurement of uncertainty learning is measuring |
they do not break network nonlocality which enables one to identify useful quantum | channels | network nonlocality | they do not break network nonlocality which enables one to identify useful quantum channels in networks |
there are two prevalent ways to constructing 3d scenes procedural | generation | layout generation | there are two prevalent ways to constructing 3d scenes procedural generation and 2d lifting |
in the absence of disturbances we find that standard | inverse | inverse optimal issf | in the absence of disturbances we find that standard inverse optimal safe controllers have a certain degree of gain margin |
many protocols require single photons often approximated by strongly attenuated | laser | single photons | many protocols require single photons often approximated by strongly attenuated laser pulses |
most counterfactual inference frameworks traditionally assume acyclic structural | causal | causal effects | most counterfactual inference frameworks traditionally assume acyclic structural causal models scms i |
we formulate the problem as a markov decision process and analyze the structure of the optimal | policy | reinforcement learning | we formulate the problem as a markov decision process and analyze the structure of the optimal policy pi star for l 3 extending insights to arbitrary l |
we further establish unconditional lower bounds demonstrating that the time and query complexities of our algorithms are optimal up to mathrm polylog n factors hidden within the | tilde | -time algorithm | we further establish unconditional lower bounds demonstrating that the time and query complexities of our algorithms are optimal up to mathrm polylog n factors hidden within the tilde o cdot notation below |
these limitations are particularly apparent in real-life driving | scenarios | obstacle avoidance | these limitations are particularly apparent in real-life driving scenarios where state-of-the-art algorithms struggle to safely or reliably complete overtaking manoeuvres |
based on the real-world hierarchical structure of resource allocation this paper presents a coupled dynamic model of resource allocation and epidemic spreading that incorporates a role-based division of network | nodes | network structures | based on the real-world hierarchical structure of resource allocation this paper presents a coupled dynamic model of resource allocation and epidemic spreading that incorporates a role-based division of network nodes into resource allocators and recipients |
we resolve this question by presenting the first bidirectional reduction showing that suffix | array | suffix array | we resolve this question by presenting the first bidirectional reduction showing that suffix array queries are up to an additive o log log n term in query time equivalent to prefix-select queries in all parameters |
considering structured data with an underlying feature space of small dimension we show that maximizing the | mutual | mutual information | considering structured data with an underlying feature space of small dimension we show that maximizing the mutual information implies i finding an appropriate projection space and ii building a neural representation with the appropriate metric |
on the algorithmic side we prove that mso _2 -discovery is in xp when parameterized by treewidth and that | mso | tree embedding | on the algorithmic side we prove that mso _2 -discovery is in xp when parameterized by treewidth and that mso _1 -discovery is fixed-parameter tractable when parameterized by neighborhood diversity |
these results have implications for amplified oversight -- the challenge of combining humans and ai to supervise ai | systems | ai assistance | 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 |
gouy phase-related effects in the free-space optical modulation of | free | nonlinear optical | gouy phase-related effects in the free-space optical modulation of free electrons |
the system achieves a high energy resolution of | approximately | measurements demonstrated | the system achieves a high energy resolution of approximately 11 |
across 7 datasets wimhf identifies a small number of human-interpretable features that account for the majority of the | preference | preference data | across 7 datasets wimhf identifies a small number of human-interpretable features that account for the majority of the preference prediction signal achieved by black-box models |
grid cells in the medial entorhinal cortex provide a periodic spatial code that are organized near a | toroidal | grid cell | grid cells in the medial entorhinal cortex provide a periodic spatial code that are organized near a toroidal manifold independent of the spatial environment |
maps converts attribution maps into explanation-masked images emis and compares image-by-image human accuracies on these minimal | images | visual stimuli | maps converts attribution maps into explanation-masked images emis and compares image-by-image human accuracies on these minimal images with limited pixel budgets with accuracies on the full stimuli |
in this article we present the derivation of the theoretical foundations for cooperative task spaces of multi-arm | robotic | robotic systems | in this article we present the derivation of the theoretical foundations for cooperative task spaces of multi-arm robotic systems based on geometric primitives defined using conformal geometric algebra |
nonetheless despite the potential of such tools for linguistic research comprehensive evaluation of their performance and impact on the creation of annotated datasets especially under a perspectivized approach to | nlp | natural language processing | nonetheless despite the potential of such tools for linguistic research comprehensive evaluation of their performance and impact on the creation of annotated datasets especially under a perspectivized approach to nlp is still missing |
by representing the robot s physical topology as a graph the proposed gnn-based policy captures coupling among components enabling faster and more stable | learning | reinforcement learning | by representing the robot s physical topology as a graph the proposed gnn-based policy captures coupling among components enabling faster and more stable learning than conventional multilayer perceptron mlp policies |
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging | visual | reasoning tasks | yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual reasoning scenarios |
lexicon and syntax making it difficult to isolate the neural substrates of cognitively | deeper | neural representations | lexicon and syntax making it difficult to isolate the neural substrates of cognitively deeper processes |
our work lays the foundation for this new direction by establishing upper and lower bounds on space | complexity | polynomial time | our work lays the foundation for this new direction by establishing upper and lower bounds on space complexity of key variants of the problem |
by converting each dataset into interpretable metadata we prompt an | llm | large language models llms | by converting each dataset into interpretable metadata we prompt an llm to recommend both model families and hyperparameters |
ct reconstruction provides radiologists with images for diagnosis and treatment yet current | deep | deep network | ct reconstruction provides radiologists with images for diagnosis and treatment yet current deep learning methods are typically limited to specific anatomies and datasets hindering generalization ability to unseen anatomies and lesions |
using stochastic differential equation techniques we establish a | functional | stochastic differential | using stochastic differential equation techniques we establish a functional law of large numbers for the scaled populations of sensitive cells resistant cells and the initial resistant clone |
building the optical setup for investigating biological | questions | optical properties | building the optical setup for investigating biological questions comes with challenges |
different from existing motion representations we aim to estimate an hr | motion | optical flow | different from existing motion representations we aim to estimate an hr motion trajectory with high-quality from a single motion-blurred image |
we hope our findings could inspire more efforts on re-examining redllm unlocking its potential for developing powerful and | efficient | models llms | we hope our findings could inspire more efforts on re-examining redllm unlocking its potential for developing powerful and efficient llms |
based on these results we derive nn matching from | riesz | riesz regression | based on these results we derive nn matching from riesz regression |
while ai-assisted participants completed several | tasks | ai agents | while ai-assisted participants completed several tasks faster and more accurately no significant pre-post differences emerged in standardized measures of problem solving or verbal comprehension |
these results provide a unified distributional framework across these two classical regimes cite avramleonenkosakhno2010-esaim biermebonamileon2011-ejp that makes the unusual behavior of the estimates under fixed-domain | asymptotics | asymptotic normality | these results provide a unified distributional framework across these two classical regimes cite avramleonenkosakhno2010-esaim biermebonamileon2011-ejp that makes the unusual behavior of the estimates under fixed-domain asymptotics intuitively obvious |
the material platform and arrangement can be implemented for both | monitoring | optical communication | the material platform and arrangement can be implemented for both monitoring and activating the actuators which makes the proposed system an attractive candidate for closed-loop control of optical devices |
learning to plan schedule with reinforcement-learned bimanual | robot | motion planning | learning to plan schedule with reinforcement-learned bimanual robot skills |
from amateur to master infusing knowledge into | llms | llm agents | from amateur to master infusing knowledge into llms via automated curriculum learning |
smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion | rate | star formation rates | smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion rate at each redshift from the empirical eddington ratio distributions and duty cycles |
second we observe that using english as a | pivot | multilingual data | second we observe that using english as a pivot language i |
circuits designed by textsc flowq-net achieve significant improvements yielding | circuits | peaked circuits | circuits designed by textsc flowq-net achieve significant improvements yielding circuits that are 10 times -30 times more compact in terms of parameters gates and depth compared to commonly used unitary baselines without compromising accuracy |
this work advances the reliability of emcd as a quantitative tool for magnetic characterization at the nanoscale with unknown | magnetic | magnetic anisotropy | this work advances the reliability of emcd as a quantitative tool for magnetic characterization at the nanoscale with unknown magnetic structures |
samples were subjected to varied thermal and vibrational conditions and their crystallization onset and morphological evolution were examined through optical microscopy scanning | electron | electron microscopy | samples were subjected to varied thermal and vibrational conditions and their crystallization onset and morphological evolution were examined through optical microscopy scanning electron microscopy sem energy dispersive x-ray spectroscopy eds and atomic force microscopy afm |
through the judge s eyes inferred thinking traces improve reliability of | llm | llm raters | through the judge s eyes inferred thinking traces improve reliability of llm raters |
never too rigid to reach adaptive virtual model control with llm- and lyapunov-based | reinforcement | control strategy | never too rigid to reach adaptive virtual model control with llm- and lyapunov-based reinforcement learning |
neural activity forecasting is central to understanding neural systems and | enabling | recurrent neural | neural activity forecasting is central to understanding neural systems and enabling closed-loop control |
here we establish a quantitative framework to characterize the operational lifetime of embezzling catalysts focusing on their role in entanglement | distillation | multipartite entanglement | here we establish a quantitative framework to characterize the operational lifetime of embezzling catalysts focusing on their role in entanglement distillation and extending the analysis to quantum teleportation |
experimental results show that the proposed method achieves state-of-the-art | fusion | image fusion | experimental results show that the proposed method achieves state-of-the-art fusion performance in qualitative and quantitative evaluations across multiple datasets and significantly improves semantic segmentation metrics |
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