prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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6 rated at a difficulty level of 46 out of 50 and imposes stricter conditions than existing revolving-door or edge-exchange gray codes for | spanning | spanning trees | 6 rated at a difficulty level of 46 out of 50 and imposes stricter conditions than existing revolving-door or edge-exchange gray codes for spanning trees of complete graphs |
the bound electron-hole pairs known as excitons govern the optical | properties | electronic structure | the bound electron-hole pairs known as excitons govern the optical properties of insulating solids |
ai-powered approaches specifically large language models llms natural language processing nlp and | generative | ai literacy | ai-powered approaches specifically large language models llms natural language processing nlp and generative ai offer transformative solutions and reduce inefficiencies |
efficiency without cognitive change evidence from human | interaction | human-ai interaction | efficiency without cognitive change evidence from human interaction with narrow ai systems |
we investigate the spontaneous emission of light in three-dimensional 3d | photonic | photonic crystal | we investigate the spontaneous emission of light in three-dimensional 3d photonic crystals through theoretical calculations and simulations |
these results demonstrate efficiency gains without cognitive change suggesting that current narrow ai | systems | ai use | these results demonstrate efficiency gains without cognitive change suggesting that current narrow ai systems serve as cognitive scaffolds extending performance without transforming underlying mental capacities |
in this study we first prove that the density-ratio | estimation | density-ratio estimation | in this study we first prove that the density-ratio estimation method proposed in lin et al |
such approaches are limited by large upfront costs an inability to immediately handle new benchmarks cold-start and the fragile assumption that | future | existing approaches | such approaches are limited by large upfront costs an inability to immediately handle new benchmarks cold-start and the fragile assumption that future models will share the failure patterns of their predecessors |
then simulations based on three real datasets are used to | demonstrate | real datasets | then simulations based on three real datasets are used to demonstrate the estimators properties |
the results reveal systematic patterns navigation success depends predictably on platform capability and | scene | visual navigation | the results reveal systematic patterns navigation success depends predictably on platform capability and scene geometry and different algorithms exhibit distinct preferences and failure modes across the evaluated conditions |
the geometry of dialogue graphing language models to reveal | synergistic | language models | the geometry of dialogue graphing language models to reveal synergistic teams for multi-agent collaboration |
the control of localized magnetic domains at the | nanoscale | magnetic anisotropy | the control of localized magnetic domains at the nanoscale holds great promise for next-generation spintronic applications |
our framework leverages a system of differential equations to simulate | disease | disease transmission | our framework leverages a system of differential equations to simulate disease transmission across a network of interconnected cities capturing more realistic patterns |
based on the similarity transformations of these cooperative geometric primitives we derive an abstraction of complex | robotic | robotic manipulation | based on the similarity transformations of these cooperative geometric primitives we derive an abstraction of complex robotic systems that enables representing these systems in a way that directly corresponds to single-arm systems |
these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in quantum | photonic | integrated photonics | these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in quantum photonic circuits |
we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of | llms | llm reasoning | 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 |
a unified theory for causal inference direct | debiased | riesz regression | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
in task and motion planning high-level task | planning | motion planning | in task and motion planning high-level task planning is done over an abstraction of the world to enable efficient search in long-horizon robotics problems |
we investigate the gain margin of a general nonlinear system under an inverse optimal input-to-state safe issf controller of the form u u0 x u x u0 where u0 is the nominal control and u is the | inverse | inverse optimal | we investigate the gain margin of a general nonlinear system under an inverse optimal input-to-state safe issf controller of the form u u0 x u x u0 where u0 is the nominal control and u is the inverse optimal safety filter that minimally modifies the nominal controller s unsafe actions over the infinite horizon |
we then benchmark the performance of our methods against comparable | existing | existing methods | we then benchmark the performance of our methods against comparable existing approaches |
with co-added images we construct light curves for 73 | agns | light curves | with co-added images we construct light curves for 73 agns in the egs field |
we also find that significant disparities can | arise | statistical physics | we also find that significant disparities can arise due to chance even from completely symmetric initial conditions especially when populations are small |
to solve the formulated problem we proposed a two-timescale multi-agent | deep | reinforcement learning | to solve the formulated problem we proposed a two-timescale multi-agent deep deterministic policy gradient tts-maddpg algorithm based on the centralized training and distributed execution paradigm |
an extension of that algorithm along with | numerical | numerical experiments | an extension of that algorithm along with numerical benchmarks on various non-gaussian and high-dimensional examples are provided to demonstrate its effectiveness and practical potential |
our approach is validated with experiments notably on real-world question-answering datasets using embeddings derived from state-of-the-art large | language | language models | our approach is validated with experiments notably on real-world question-answering datasets using embeddings derived from state-of-the-art large language models |
however this trajectory-to-trajectory formulation often entangles camera | motion | point tracking | however this trajectory-to-trajectory formulation often entangles camera motion with scene dynamics and complicates both modeling and inference |
in this survey we provide a comprehensive review of multimodal spatial | reasoning | spatial reasoning | in this survey we provide a comprehensive review of multimodal spatial reasoning tasks with large models categorizing recent progress in multimodal large language models mllms and introducing open benchmarks for evaluation |
solving this problem to global optimality is challenging due to ac | power | optimal power | solving this problem to global optimality is challenging due to ac power flow and nn nonconvexities so our approach exploits a convex relaxation of the ac physics combined with a local nn search to find a guaranteed lower bound on worst--case load shedding |
reality distortion room a study of user locomotion responses to spatial augmented | reality | virtual reality | reality distortion room a study of user locomotion responses to spatial augmented reality effects |
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 |
the presence of occlusions has provided substantial challenges to typically-powerful | object | vision transformers | the presence of occlusions has provided substantial challenges to typically-powerful object recognition algorithms |
mean-shift theory and its applications in swarm robotics a new way to enhance the efficiency of | multi-robot | multi-robot collaboration | mean-shift theory and its applications in swarm robotics a new way to enhance the efficiency of multi-robot collaboration |
enhancing the reachability of variational quantum | algorithms | quantum walk | enhancing the reachability of variational quantum algorithms via input-state design |
multimodal large language models mllms have advanced vision-language reasoning and are increasingly deployed in | embodied | large language | multimodal large language models mllms have advanced vision-language reasoning and are increasingly deployed in embodied agents |
look at that distractor dynamic translation gain under low perceptual load in | virtual | virtual reality | look at that distractor dynamic translation gain under low perceptual load in virtual reality |
for maximal matching our techniques further allow us to establish a strong separation between the node-averaged complexity and worst-case | complexity | query complexity | for maximal matching our techniques further allow us to establish a strong separation between the node-averaged complexity and worst-case complexity of maximal matching in regular graphs by showing that the former is only o 1 |
posterior sampling by combining diffusion models with annealed | langevin | diffusion models | posterior sampling by combining diffusion models with annealed langevin dynamics |
we show that 1 this isolated reasoning embedding | exhibits | abstract representations | we show that 1 this isolated reasoning embedding exhibits unique predictive power accounting for variance in neural activity not explained by other linguistic features and even extending to the recruitment of visual regions beyond classical language areas |
this approach overcomes the ambiguity of qualitative inspection near regime boundaries particularly in large systems and provides a compact extensible framework for identifying and comparing | emergent | emergent behaviors | this approach overcomes the ambiguity of qualitative inspection near regime boundaries particularly in large systems and provides a compact extensible framework for identifying and comparing emergent behaviors in complex systems |
here we propose and investigate two theoretical protocols for fast | single-shot | s-o coupling | here we propose and investigate two theoretical protocols for fast single-shot readout of cavity-coupled single t center electronic spins |
furthermore we identify a quadratic dependence between the strain-induced resistance change and the threshold voltage confirming that piezoresistive modulation governs the strain-tunability of the | phase | phase transition | furthermore we identify a quadratic dependence between the strain-induced resistance change and the threshold voltage confirming that piezoresistive modulation governs the strain-tunability of the phase transition |
the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text polylog u -- but in exchange for these the | tree | tree edit distance | the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text polylog u -- but in exchange for these the tree is able to achieve a remarkable space guarantee |
controllers designed using an accurate model is | robust | optimal control | controllers designed using an accurate model is robust against disturbance and small mismatch between the physical setup and the mathematical model derived from first principles while a poor model results in a controller that performs well in simulation but fails in physical experiments |
we investigate the fine-grained complexity of direct access to conjunctive | query | query time | we investigate the fine-grained complexity of direct access to conjunctive query cq answers according to their position ordered by the minimum or maximum value between attributes |
distinguishing long-memory behaviour from | nonstationarity | time-series experiments | distinguishing long-memory behaviour from nonstationarity is challenging as both produce slowly decaying sample autocovariances |
initial science highlights from the catalogue include the detection of 213 radio quiet wise | hii | hii regions | initial science highlights from the catalogue include the detection of 213 radio quiet wise hii region candidates previously undetected in radio continuum studies |
we further discover that issameobject is encoded in a low-dimensional subspace on top of | object | visual stimuli | we further discover that issameobject is encoded in a low-dimensional subspace on top of object features and that this signal actively guides attention |
the expansion of large language models is | increasingly | large language | the expansion of large language models is increasingly limited by the constrained memory capacity of modern gpus |
reality distortion room a study of user locomotion responses to spatial augmented | reality | augmented reality | reality distortion room a study of user locomotion responses to spatial augmented reality effects |
why do human populations remain vulnerable to | collapse | population size | why do human populations remain vulnerable to collapse even when they are large |
however real-world matrices are often observed with | noise | spectral density matrices | however real-world matrices are often observed with noise arising from sampling sketching and quantization |
we compare models that use only macro-level incidence models that add | mobility | human mobility | we compare models that use only macro-level incidence models that add mobility network features and their interactions with macro incidence and autoregressive ar models that include town-level recent cases |
approximate quantum error correction eigenstate thermalization and the | chaos | quantum error correction | approximate quantum error correction eigenstate thermalization and the chaos bound |
we further validate our theoretical findings with experiments on both synthetic and real datasets | demonstrating | real datasets | we further validate our theoretical findings with experiments on both synthetic and real datasets demonstrating that our method offers practical accuracy-privacy trade-offs |
learning to plan schedule with reinforcement-learned bimanual | robot | reinforcement learning | learning to plan schedule with reinforcement-learned bimanual robot skills |
args and their succinct representation tree | sequences | phylogenetic tree | args and their succinct representation tree sequences are increasingly central to modern population genetics methods yet building an intuition for args remains challenging |
finally these step-wise rewards are used to calculate fork-relative advantages blended with trajectory-relative | advantages | llm post-training | finally these step-wise rewards are used to calculate fork-relative advantages blended with trajectory-relative advantages to train the llm for tool use |
few-shot anomaly detection fsad methods identify | anomalous | anomaly detection | few-shot anomaly detection fsad methods identify anomalous regions with few known normal samples |
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet | flexible | brain-computer interface | more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and adaptive cognition |
on these sub-finsler structures we study the normal | curves | normal curves | on these sub-finsler structures we study the normal curves in the sense of control theory |
we measure abundance ratios in 209 giant stars that are confirmed members of the smc providing the first extensive dataset of eu abundances in this galaxy across its full | metallicity | stellar mass function | we measure abundance ratios in 209 giant stars that are confirmed members of the smc providing the first extensive dataset of eu abundances in this galaxy across its full metallicity range spanning more than 1 |
these findings highlight pulse optimization as a powerful strategy to enhance the resilience to disorder of solid-state globally-driven quantum | computing | quantum dot | these findings highlight pulse optimization as a powerful strategy to enhance the resilience to disorder of solid-state globally-driven quantum computing platforms |
this work enables us to model the robot s collapse behavior in any open environment and understand the parameters it needs to succeed in 3d | navigation | obstacle avoidance | this work enables us to model the robot s collapse behavior in any open environment and understand the parameters it needs to succeed in 3d navigation tasks |
these findings highlight challenges in achieving logical consistency in | llms | models llms | these findings highlight challenges in achieving logical consistency in llms normative reasoning and provide insights for enhancing their reliability |
we study the problem of estimating the average treatment effect ate under sequentially adaptive | treatment | average treatment effect | we study the problem of estimating the average treatment effect ate under sequentially adaptive treatment assignment mechanisms |
code review serves as an effective practice that enables developers to check their teammates | code | code review | code review serves as an effective practice that enables developers to check their teammates code before integration into the codebase |
infoflow reinforcing search agent via reward | density | reward density | infoflow reinforcing search agent via reward density optimization |
when the resulting posteriors are used as domain distributions for sim-based policy | learning | reinforcement learning | when the resulting posteriors are used as domain distributions for sim-based policy learning they lead to more robust object-centric agent performance |
stacked intelligent surfaces sis are a promising technology for next-generation | wireless | wireless networks | stacked intelligent surfaces sis are a promising technology for next-generation wireless systems offering an opportunity to enhance communication performance with low power consumption |
we then use this to create a physics informed complex exponential basis expansion model prediction framework that maximizes the usefulness of outdated | channel | channel state information | we then use this to create a physics informed complex exponential basis expansion model prediction framework that maximizes the usefulness of outdated channel state information csi in the presence of integer and fractional delay-doppler channels and facilitates high mobility mimo communication |
researchers often use specifications that correctly estimate the | average | average treatment effect | researchers often use specifications that correctly estimate the average treatment effect under the assumption of constant effects |
despite its longstanding presence and significant attention within the optimization community most works focusing on understanding its | convergence | convergence guarantees | despite its longstanding presence and significant attention within the optimization community most works focusing on understanding its convergence guarantees assume the strong l-lipschitz condition |
our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum | computing | fault-tolerant quantum | our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum computing ftqc stack to show how quantum computers could realistically and practically tackle co _2 utilization for green energy production |
we provide rigorous analyses of its non-asymptotic | convergence | convergence guarantees | we provide rigorous analyses of its non-asymptotic convergence rates showing an improvement over prior double-loop algorithms -- form o epsilon -3 log epsilon -1 to o epsilon -3 |
this approach unifies empirical likelihood bayesian empirical | likelihood | density estimation | this approach unifies empirical likelihood bayesian empirical likelihood and generalized method-of-moments estimation within a common predictive geometry |
in particular we show the possibility of detecting einstein-podolsky-rosen steering and mode entanglement of non-gaussian | states | quantum correlations | in particular we show the possibility of detecting einstein-podolsky-rosen steering and mode entanglement of non-gaussian states from linear measurements only |
while diffusion language models dlms enable fine-grained refinement their practical controllability | remains | diffusion models | while diffusion language models dlms enable fine-grained refinement their practical controllability remains fragile |
recent advances in data collection and technology enable a deeper understanding of complex | urban | human mobility | recent advances in data collection and technology enable a deeper understanding of complex urban commuting yet few studies have rigorously analyzed the temporal stability and origin-destination od heterogeneity of route choice |
these results confirm the effectiveness efficiency and | robustness | llm inference | these results confirm the effectiveness efficiency and robustness of our approach for low-resource domain adaptation of llms |
we prove that combining diffusion models with an annealed variant of | langevin | langevin dynamics | we prove that combining diffusion models with an annealed variant of langevin dynamics achieves conditional sampling in polynomial time using merely an l 4 bound on the score error |
while modern large language models llms are increasingly used to model neural responses to | language | neural representations | while modern large language models llms are increasingly used to model neural responses to language their internal representations are highly entangled mixing information about lexicon syntax meaning and reasoning |
the functionality of this method was demonstrated in experiments that led to promising results correlated with one of a laser | tracker | calibration plate | the functionality of this method was demonstrated in experiments that led to promising results correlated with one of a laser tracker calibration |
specifically this procedure s conservatism when analyzing nncs using transcendental activation functions and the restriction to feedforward nncs are addressed by a introducing novel semialgebraic activation functions that preserve key properties of common transcendental activations and b proving compatibility of | nncs | deep neural | specifically this procedure s conservatism when analyzing nncs using transcendental activation functions and the restriction to feedforward nncs are addressed by a introducing novel semialgebraic activation functions that preserve key properties of common transcendental activations and b proving compatibility of nncs f... |
pvmark enabling public verifiability for llm | watermarking | watermark detection | pvmark enabling public verifiability for llm watermarking schemes |
rlmeval provides a new challenging benchmark designed to guide and accelerate | progress | reinforcement learning rl | rlmeval provides a new challenging benchmark designed to guide and accelerate progress in automated reasoning for formal mathematics |
whereas generic dnn cannot guarantee accuracy outside the training distribution the closed-form nn model produces exact solutions for every discovered critical region of the | solution | neural network | whereas generic dnn cannot guarantee accuracy outside the training distribution the closed-form nn model produces exact solutions for every discovered critical region of the solution function |
this algorithm is deterministic and does not | need | randomized algorithm | this algorithm is deterministic and does not need to know the metric space or m in advance |
we opt to model human driver decisions as a markov decision process and propose a method for handling collision avoidance between non-convex | vehicle | autonomous driving | we opt to model human driver decisions as a markov decision process and propose a method for handling collision avoidance between non-convex vehicle shapes by imposing a positive distance constraint between compact sets |
in this paper we propose the first high-resolution hr | motion | motion trajectory | in this paper we propose the first high-resolution hr motion trajectory estimation framework using diffusion models motdiff |
but despite their promising theoretical advantages contemporary mode sorters often feature large crosstalk high loss or sort | modes | waveguide modes | but despite their promising theoretical advantages contemporary mode sorters often feature large crosstalk high loss or sort modes that are poorly adapted to conventional imaging systems e |
the model is trained on heterogeneous qps to minimize the | expected | reward models | the model is trained on heterogeneous qps to minimize the expected objective value evaluated on the projected solutions |
experiments show improved success rate and sample efficiency over single-algorithm baselines dqn or td3 alone and rule-based planners with better generalization to unseen | obstacle | dynamic obstacles | experiments show improved success rate and sample efficiency over single-algorithm baselines dqn or td3 alone and rule-based planners with better generalization to unseen obstacle configurations and reduced abrupt control changes |
we believe that our findings serve a basis for future | urban | urban systems | we believe that our findings serve a basis for future urban route choice modeling by suggesting the importance of elabolating the model of transfer in railway |
wifi channel state information csi -based human activity recognition har provides a privacy-preserving device-free | sensing | activity recognition | wifi channel state information csi -based human activity recognition har provides a privacy-preserving device-free sensing solution for smart environments |
of particular interest are two-time correlation functions of an impurity which are central to the characterization of these many-body systems and are a cornerstone of the description of correlated materials in dynamical mean field | theory | quantum correlations | of particular interest are two-time correlation functions of an impurity which are central to the characterization of these many-body systems and are a cornerstone of the description of correlated materials in dynamical mean field theory dmft |
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 |
in this aspect we formulate a sum rate optimization problem that jointly optimizes the antenna activation factor the bs transmit power and the ue s transmit power subject to | power | transmit power | in this aspect we formulate a sum rate optimization problem that jointly optimizes the antenna activation factor the bs transmit power and the ue s transmit power subject to power budget constraints for the bs and the ues as well as minimum rate requirements for the ues |
many domains of human intellectual labour have to adapt to the new ai tools that give | humans | ai systems | many domains of human intellectual labour have to adapt to the new ai tools that give humans new functionality and opportunity but also question the viability and necessity of some human work that used to be considered intellectual yet has now become an easily automatable commodity |
starting with the dynamical system representing | collective | dynamical systems | starting with the dynamical system representing collective states in terms of connections activity levels and internal frequencies we analyze its stability emphasizing the possibility of transitions between configurations |
while a multi-agent approach based on large language models llms represents a promising strategy to surpass the | capabilities | large language | 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 |
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