prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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in this work we investigate how choice homophily and triadic closure shape the emergence of the spiral of | silence | opinion dynamics | in this work we investigate how choice homophily and triadic closure shape the emergence of the spiral of silence the phenomenon whereby minority views are progressively silenced due to fear of isolation |
6 films of thickness ranging from 5 nm to 65 | nm | film thickness | 6 films of thickness ranging from 5 nm to 65 nm using 7 kev 10 kev and 13 kev incident photon energies with inelastic electron mean free paths ranging from 7 |
motion imitation is a promising approach for humanoid | locomotion | motion planning | motion imitation is a promising approach for humanoid locomotion enabling agents to acquire humanlike behaviors |
aeolus supports a broad range of tasks including regression classification temporal structure modeling and graph learning serving as a unified benchmark across tabular sequential and | graph | graph neural | aeolus supports a broad range of tasks including regression classification temporal structure modeling and graph learning serving as a unified benchmark across tabular sequential and graph modalities |
while traditional approaches rely on data to reveal causal links a recently developed method assimilative | causal | causal effects | while traditional approaches rely on data to reveal causal links a recently developed method assimilative causal inference aci integrates observations with dynamical models |
neural networks tended to outperform in larger | datasets | neural network | neural networks tended to outperform in larger datasets and in those with more predictors but this advantage narrowed over time |
reasoning about reasoning towards informed and reflective use of | llm | llm responses | reasoning about reasoning towards informed and reflective use of llm reasoning in hci |
in terms of graph size we obtain a lower bound of 2 tilde | omega | lower bound | in terms of graph size we obtain a lower bound of 2 tilde omega sqrt log log n |
to evaluate our method we developed a task oriented | virtual | physical virtual | to evaluate our method we developed a task oriented virtual environment for a user study |
in this paper we systematically evaluate llms | reasoning | reasoning curriculum | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
through these principles our method achieves image reconstructions from fmri that faithfully reconstruct the seen | images | image reconstruction | through these principles our method achieves image reconstructions from fmri that faithfully reconstruct the seen images and surpass current sota approaches both visually and by standard objective metrics |
to mitigate the high-dimensional challenges of humanoid control thor introduces a reinforcement | learning | reinforcement learning | to mitigate the high-dimensional challenges of humanoid control thor introduces a reinforcement learning architecture that decouples the upper body waist and lower body |
additionally we prove local convergence guarantees for | weak | superlinear convergence | additionally we prove local convergence guarantees for weak minty operators |
however these approaches only add constraints upon refinement | failure | existing approaches | however these approaches only add constraints upon refinement failure expending significant search effort on infeasible branches |
each simulated agent is assigned demographic attributes a personal political stance and an | llm | llm agents | each simulated agent is assigned demographic attributes a personal political stance and an llm variant texttt gpt-4 |
2 mm continuum emission and velocity differences estimated from hco and h 13 co molecular | line | emission line | 2 mm continuum emission and velocity differences estimated from hco and h 13 co molecular line data |
reinforcement learning rl fine-tuning of large language models llms often suffers from instability due to the numerical mismatch between the | training | reinforcement learning | reinforcement learning rl fine-tuning of large language models llms often suffers from instability due to the numerical mismatch between the training and inference policies |
our approach leverages the action-value q- | function | reinforcement learning | our approach leverages the action-value q- function to balance efficiency and fairness without requiring additional training |
graph-theoretical mapping of resting-state | eeg | brain decoding | graph-theoretical mapping of resting-state eeg reveals neural signatures of creativity |
this dataset establishes a foundation for advancing research in streaming video understanding complex | temporal | temporal understanding | this dataset establishes a foundation for advancing research in streaming video understanding complex temporal reasoning and multimodal inference |
the emergence of spite driven by prejudice is also found to persist when one considers long-term | evolutionary | evolutionary dynamics | the emergence of spite driven by prejudice is also found to persist when one considers long-term evolutionary dynamics in the mutation-selection dominated regime |
to further balance performance and automated effort we then develop a minimal intervention controller mic that retains acceptable | stability | predictive control | to further balance performance and automated effort we then develop a minimal intervention controller mic that retains acceptable stability while limiting automation |
despite the simplicity of this bath we uncover rich dynamical phase | transitions | phase transitions | despite the simplicity of this bath we uncover rich dynamical phase transitions i |
results show that active ris yields higher spectral efficiency se by eliminating the | multiplicative | active ris | results show that active ris yields higher spectral efficiency se by eliminating the multiplicative fading inherent in passive riss and allocating more resources to data transmission |
reinforcement learning with verifiable rewards | rlvr | reinforcement learning | reinforcement learning with verifiable rewards rlvr is a promising approach for enhancing agentic deep search |
numerical simulations corroborate the analytical results demonstrating that infection levels decrease monotonically with higher protection adoption and highlight the impact of mutation rates and protection cost on | infection | infectious individuals | numerical simulations corroborate the analytical results demonstrating that infection levels decrease monotonically with higher protection adoption and highlight the impact of mutation rates and protection cost on infection state trajectories |
interestingly we also identify 4 -dtc phases that cannot be explained by the system s mathbb z _2 symmetry these | phases | -dtc phases | interestingly we also identify 4 -dtc phases that cannot be explained by the system s mathbb z _2 symmetry these phases become stable for higher values of angular momentum |
in the state-of-the-art photonic quantum computers pqcs phase-shift and displacement | gates | quantum dot | in the state-of-the-art photonic quantum computers pqcs phase-shift and displacement gates can be implemented in an electrically-programmable way |
next-generation interferometry with gauge-invariant | linear | nonlinear optical | next-generation interferometry with gauge-invariant linear optical scatterers |
we show here that in models equipped with a learning rule inferred from neurobiological data spurious overlaps collectively reduce the mean synaptic inputs to | neurons | neural representations | we show here that in models equipped with a learning rule inferred from neurobiological data spurious overlaps collectively reduce the mean synaptic inputs to neurons and that this mean reduction causes in turn an increase in storage capacity through a sparsening of network activity |
stress in chromium thin films deposited by dc | magnetron | film thickness | stress in chromium thin films deposited by dc magnetron sputtering on grounded cupper and stainless-steel substrate holders |
our findings connect entanglement dissipation-enhanced scaling laws and superabsorption outlining a pathway towards scalable quantum | batteries | quantum batteries | our findings connect entanglement dissipation-enhanced scaling laws and superabsorption outlining a pathway towards scalable quantum batteries offering practical quantum advantage |
large language models llms face significant inference latency challenges stemming from their autoregressive design and | large | large language models llms | large language models llms face significant inference latency challenges stemming from their autoregressive design and large size |
additionally it offers insights into sensing performance effects on | beam | near-field beam | additionally it offers insights into sensing performance effects on beam patterns as well as communicationsensing trade-offs in multi-target scenarios |
we focus on the efficiency of building tree | embedding | tree embedding | we focus on the efficiency of building tree embedding in various computational settings under high-dimensional euclidean mathbb r d |
beyond lamno _ 3 our work opens an avenue for studying a wider range of | correlated | quantum materials | beyond lamno _ 3 our work opens an avenue for studying a wider range of correlated materials |
graph-enhanced policy optimization in llm | agent | llm agents | graph-enhanced policy optimization in llm agent training |
lastly we also provide a tight zcdp bound for the worst | case | lower bound | lastly we also provide a tight zcdp bound for the worst case bounded range mechanism |
our two-stage approach first scales the relative depth | map | depth estimation | our two-stage approach first scales the relative depth map with the sparse depth points then refines the final metric prediction with our proposed cascade conv-deformable transformer blocks |
overcoming this challenge advances key applications such as creating reliable reward models for | reinforcement | reinforcement learning rl | overcoming this challenge advances key applications such as creating reliable reward models for reinforcement learning from human feedback rlhf and building effective routing systems that select the best-suited model for a given user query |
experimental results demonstrate that our approach significantly improves manipulation accuracy reduces system latency and achieves single-pass intention and | object | object recall | experimental results demonstrate that our approach significantly improves manipulation accuracy reduces system latency and achieves single-pass intention and object recognition accuracy greater than 88 across multiple real-world scenarios |
the stellar mass-size analysis reveals that star-forming members are more compact at higher | masses | black hole mass | the stellar mass-size analysis reveals that star-forming members are more compact at higher masses than their field counterparts |
passive fatigue during conditional automated | driving | automated driving | passive fatigue during conditional automated driving can compromise driver readiness and safety |
this work establishes a theoretical framework for evaluating the statistical properties of physics-informed estimators in convex classes of functions contributing to closing the gap between | statistical | density-ratio estimation | this work establishes a theoretical framework for evaluating the statistical properties of physics-informed estimators in convex classes of functions contributing to closing the gap between statistical theory and practical pisl with potential applications to cases not yet explored in the literature |
decomposing prediction uncertainty into its aleatoric irreducible and epistemic reducible components is critical for the development and deployment of | machine | machine learning | decomposing prediction uncertainty into its aleatoric irreducible and epistemic reducible components is critical for the development and deployment of machine learning systems |
modeling the transport dynamics of natural | processes | diffusion models | modeling the transport dynamics of natural processes from population-level observations is a ubiquitous problem in the natural sciences |
the copolymer s swelling behavior was characterized using dynamic vapor sorption dvs and in-situ atomic force | microscopy | atomic force microscopy | the copolymer s swelling behavior was characterized using dynamic vapor sorption dvs and in-situ atomic force microscopy afm |
numerical studies subsequently provide qualitative evidence of the practical performance achieved for the full recursion using the algorithms and theory | developed | zeroth-order methods | numerical studies subsequently provide qualitative evidence of the practical performance achieved for the full recursion using the algorithms and theory developed for the single-step error bounds |
in task and motion planning high-level task | planning | multi-robot collaboration | 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 |
this photogrammetry-based calibration process involves multiple high-resolution images from different angles to measure the position and orientation of the | platform | calibration plate | this photogrammetry-based calibration process involves multiple high-resolution images from different angles to measure the position and orientation of the platform center in the three-dimensional space |
the vulnerability of cyclists exacerbated by the rising popularity of faster e-bikes | motivates | wheel-to-wheel racing | the vulnerability of cyclists exacerbated by the rising popularity of faster e-bikes motivates adapting automotive perception technologies for bicycle safety |
the local gaussian correlation networks among return tails in the chinese | stock | correlation network | the local gaussian correlation networks among return tails in the chinese stock market |
this means that individuals within communities do not behave as independent demographic units as their lives are correlated through cooperation shared subsistence practices overlapping land use and exposure to | common | ecological communities | this means that individuals within communities do not behave as independent demographic units as their lives are correlated through cooperation shared subsistence practices overlapping land use and exposure to common shocks such as disease outbreaks or failed harvests |
focusing on simpler statistical methods we examine the design-based properties of regression-based methods for estimating | treatment | treatment effect | focusing on simpler statistical methods we examine the design-based properties of regression-based methods for estimating treatment effects in time-series experiments |
accurate real-time wireless signal prediction is essential for | next-generation | wireless networks | accurate real-time wireless signal prediction is essential for next-generation networks |
these results highlight the significant room for improving the mathematical reasoning in | current | models llms | these results highlight the significant room for improving the mathematical reasoning in current llms |
by examining the challenges in data-efficient llm post-training we | highlight | llm raters | by examining the challenges in data-efficient llm post-training we highlight open problems and propose potential research avenues |
quantum illumination with nonsimultaneous phase-insensitive coincidence measurements can provide jamming resilience compared to identical | measurements | optical interference | quantum illumination with nonsimultaneous phase-insensitive coincidence measurements can provide jamming resilience compared to identical measurements for classical illumination |
we introduce perception learning pel a paradigm that optimizes an agent s sensory interface f_ phi mathcal x to mathcal z using task-agnostic signals decoupled from downstream decision learning g_ theta mathcal z to | mathcal | policy learning | we introduce perception learning pel a paradigm that optimizes an agent s sensory interface f_ phi mathcal x to mathcal z using task-agnostic signals decoupled from downstream decision learning g_ theta mathcal z to mathcal y |
we propose an ml based user localization framework for ris assisted | communication | wireless communication | we propose an ml based user localization framework for ris assisted communication at 27 ghz |
large language models llms are increasingly shaping creative work and problem-solving however | prior | llm reasoning | large language models llms are increasingly shaping creative work and problem-solving however prior research suggests that they may diminish unassisted creativity |
for the case of the payoff-driven motion the | stochastic | stochastic differential | for the case of the payoff-driven motion the stochastic model shows an overall decrease in population size and average payoff but the pde model displays more subtle behavior in this setting and will depend on the relative diffusivities of the two strategies |
we implement the how system as an rnn whose | low-rank | recurrent neural | we implement the how system as an rnn whose low-rank components are composed according to the context inferred by the what system |
our solution jointly optimizes the transmission power and the | neural | neural network | our solution jointly optimizes the transmission power and the neural network split point |
immersive applications call for synthesizing | spatiotemporal | optical flow | immersive applications call for synthesizing spatiotemporal 4d content from casual videos without costly 3d supervision |
it however brings up significant computational hurdles that compound those already inherent in | sobolev | sobolev ipm | it however brings up significant computational hurdles that compound those already inherent in sobolev ipm |
in this work we develop a mathematical framework for evaluating the theoretical effectiveness of various wnv | control | optimal control | in this work we develop a mathematical framework for evaluating the theoretical effectiveness of various wnv control methods in germany |
the era of agentic organization learning to organize with | language | large language models llms | the era of agentic organization learning to organize with language models |
incorporating these two modules enhances intra-region semantic consistency and maintains inter-region contextual associations thereby facilitating | fine-grained | fmri data | incorporating these two modules enhances intra-region semantic consistency and maintains inter-region contextual associations thereby facilitating fine-grained brain decoding |
our findings suggest the smc has a higher production of eu with respect to the alpha -elements than the milky | way | dwarf galaxies | our findings suggest the smc has a higher production of eu with respect to the alpha -elements than the milky way but in line with what observed in other dwarf systems within the local group |
robotic assistant completing collaborative tasks with dexterous | vision-language-action | vision-language models vlms | robotic assistant completing collaborative tasks with dexterous vision-language-action models |
even advanced rl algorithms are often limited in their ability to solve | problems | computational cost | even advanced rl algorithms are often limited in their ability to solve problems in these conditions |
the nct reframes ai evaluation from performance to persistence outlining conceptual requirements for future benchmarks and architectural designs that could sustain long-term identity and goal coherence in | generative | ai agents | the nct reframes ai evaluation from performance to persistence outlining conceptual requirements for future benchmarks and architectural designs that could sustain long-term identity and goal coherence in generative models |
we provide concrete guarantees for the efficiency and correctness of the sampling algorithm complementing the empirical success of | diffusion | diffusion models | we provide concrete guarantees for the efficiency and correctness of the sampling algorithm complementing the empirical success of diffusion models with rigorous theory |
finally these step-wise rewards are used to calculate fork-relative advantages blended with trajectory-relative | advantages | models llms | finally these step-wise rewards are used to calculate fork-relative advantages blended with trajectory-relative advantages to train the llm for tool use |
this tradeoff leaves neutral atom systems stuck between slow but accurate | readout | spin readout | this tradeoff leaves neutral atom systems stuck between slow but accurate readout and fast but unreliable readout |
the question of internal mechanisms that modulate | traveling | traveling waves | the question of internal mechanisms that modulate traveling waves of sos is still unanswered although it is established that it is an adaptation mechanism that mediates them |
the optimal control law features a strong low-frequency actuation from the bottom jet which targets the | main | optimal control | the optimal control law features a strong low-frequency actuation from the bottom jet which targets the main vortex shedding while the top and lateral jets address higher-frequency less energetic phenomena |
diverse emission patterns from precessing super-eddington disks formed in | tidal | tidal field | diverse emission patterns from precessing super-eddington disks formed in tidal disruption events |
a popular opinion is that much of the contextual influences arise from feedback from higher visual | areas | brain regions | a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger receptive fields |
we leverage multi-electrode array recordings from the ventral visual stream--including v1 v4 and inferotemporal it cortex--to investigate how distributed neural populations encode and | represent | receptive fields | we leverage multi-electrode array recordings from the ventral visual stream--including v1 v4 and inferotemporal it cortex--to investigate how distributed neural populations encode and represent visual information |
while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography | eeg | brain-computer interface | while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography eeg offers a temporally precise and scalable approach to capture the fast oscillatory dynamics that underlie spontaneous neural organization |
for instances with more than 100 jobs exact methods such as mip and dynamic | programming | dynamic programming | for instances with more than 100 jobs exact methods such as mip and dynamic programming become computationally intractable |
by learning continuous-time dynamics directly from data the lnn enables the filters to adapt to complex nonlinear motion and achieve accurate | tracking | multi-object tracking | by learning continuous-time dynamics directly from data the lnn enables the filters to adapt to complex nonlinear motion and achieve accurate tracking of highly maneuvering objects in clutter |
msad a deep dive into model selection for time series | anomaly | anomaly detection | msad a deep dive into model selection for time series anomaly detection |
we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ | mathrm | galactic disk | we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ mathrm sfr and specific sfr ssfr |
inference-cost-aware dynamic tree construction for efficient | inference | large language models llms | inference-cost-aware dynamic tree construction for efficient inference in large language models |
evolutionary game theory offers a general framework to study how behaviors evolve by | social | game theory | evolutionary game theory offers a general framework to study how behaviors evolve by social learning in a population |
although the evaluation was limited to simulation these results establish | predictive | predictive processing | although the evaluation was limited to simulation these results establish predictive processing as a universal and scalable computational principle pointing toward robust flexible and autonomous caregiving robots while offering theoretical insight into the human brain s ability to achieve flexible adaptation in uncertain real-world environments |
we present a mathcal o log 5 m -competitive algorithm for the | mpmd | online algorithm | we present a mathcal o log 5 m -competitive algorithm for the mpmd problem |
self-improvement has emerged as a mainstream paradigm for advancing the | reasoning | reasoning capabilities | self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large vision-language models lvlms where models explore and learn from successful trajectories iteratively |
we focus our presentation on a recently proposed method by chernozhukov | et | existing methods | we focus our presentation on a recently proposed method by chernozhukov et al |
designing a secure and resilient distributed smartphone participant data | collection | data collection | designing a secure and resilient distributed smartphone participant data collection system |
a hybrid genetic algorithm combining a global | search | genetic algorithm | a hybrid genetic algorithm combining a global search with a local gradient-based optimizer was used to determine the optimal jet actuation parameters in an experiment-in-the-loop setup |
bridging the gap between empirical welfare maximization and conditional | average | average treatment effect | bridging the gap between empirical welfare maximization and conditional average treatment effect estimation in policy learning |
in particular a 4 -additive spanner is a subgraph that preserves all pairwise distances up to an | additive | spanning trees | in particular a 4 -additive spanner is a subgraph that preserves all pairwise distances up to an additive error of 4 |
lateral ventricular brain-computer interface system with lantern-inspired | electrode | brain-computer interface | lateral ventricular brain-computer interface system with lantern-inspired electrode for stable performance and memory decoding |
based on our characterization we design a policy optimization algorithm that uses machine | learning | machine learning | based on our characterization we design a policy optimization algorithm that uses machine learning to predict counterfactual outcomes and then plugs in these predictions to estimate the pareto frontier then the decision-maker can select the policy that optimizes their desired tradeoff after which policy evaluation can be performed on the test set as usual |
the main results are the existence and uniqueness of a regular mild solution to the hjb equation a verification theorem and the synthesis of optimal | feedback | linear control | the main results are the existence and uniqueness of a regular mild solution to the hjb equation a verification theorem and the synthesis of optimal feedback controls |
symbiosis emergence and abandonment in nature a coordination | game | evolutionary game | symbiosis emergence and abandonment in nature a coordination game approach |
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