prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
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leveraging this dataset we fine-tune llms to generate code | review | review comments | leveraging this dataset we fine-tune llms to generate code review comments that can effectively identify security issues and provide fix suggestions with our proposed secure-aware fine-tuning strategy |
combining pmi and feature modeling our approach enables | continual | continual learning | combining pmi and feature modeling our approach enables continual learning of new classes by generating pseudo-images from semantic-aware projected features achieving strong effectiveness and compatibility across multiple cl settings |
using the data from the dawn jwst archive we conduct a comprehensive study on the large-scale structure stellar mass function smf quiescent members and | dark | dark matter | using the data from the dawn jwst archive we conduct a comprehensive study on the large-scale structure stellar mass function smf quiescent members and dark matter halos in the cosmic vine |
the origin of radio afterglows or delayed radio flares in | tidal | tidal disruption | the origin of radio afterglows or delayed radio flares in tidal disruption events tdes is not fully understood |
simulation of the time-dynamics of fermionic many-body systems has | long | classical simulation | simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers |
wave guides for classical electromagnetic fields can realize the | quantum | quantum dot | wave guides for classical electromagnetic fields can realize the quantum evolution of the wave function for a system of qubits |
stakeholders share common perceptions on biodiversity impacts despite geographic disparity but they differentiate between climate and | land | land use | stakeholders share common perceptions on biodiversity impacts despite geographic disparity but they differentiate between climate and land use impacts |
a decomposition of the qlf by black hole mass reveals that this boost is primarily driven by low-mass black | holes | black hole | a decomposition of the qlf by black hole mass reveals that this boost is primarily driven by low-mass black holes radiating above the eddington limit |
this paper investigates the construction of channel knowledge map ckm from sparse | channel | channel state information | this paper investigates the construction of channel knowledge map ckm from sparse channel measurements |
for the optimal welfare functional defined as the average value of cate on the subpopulation with nonnegative cate we establish the sqrt n asymptotic normality of the semiparametric plug-in estimators and provide an analytical | asymptotic | asymptotic normality | for the optimal welfare functional defined as the average value of cate on the subpopulation with nonnegative cate we establish the sqrt n asymptotic normality of the semiparametric plug-in estimators and provide an analytical asymptotic variance formula |
experiments are conducted with ocular images from vggface2-pose a subset of vggface2 containing in-the-wild face | images | computer vision | experiments are conducted with ocular images from vggface2-pose a subset of vggface2 containing in-the-wild face images and the ufpr-periocular database which consists of selfies captured via mobile devices with user guidance on the screen |
these accretion-based m_ bullet values which in this sample span nearly three orders of magnitude are consistent with | galactic | galactic disk | these accretion-based m_ bullet values which in this sample span nearly three orders of magnitude are consistent with galactic scaling relations but are significantly more precise 68 credible interval pm 0 |
phylogenetic inference the task of reconstructing how related sequences evolved from common ancestors is a central task in | evolutionary | phylogenetic diversity | phylogenetic inference the task of reconstructing how related sequences evolved from common ancestors is a central task in evolutionary genomics |
masiero lifting partial smoothing to solve | hjb | hjb equation | masiero lifting partial smoothing to solve hjb equations and stochastic control problems siam journal on control and optimization 63 3 2025 pp |
furthermore we show that even without explaining the details of | pragmatic | pragmatic theories | furthermore we show that even without explaining the details of pragmatic theories merely mentioning their names in the prompt leads to a certain performance improvement around 1-3 in larger models compared to the baseline |
experimental results showed that compared to the baseline which prompts intermediate reasoning without presenting | pragmatic | vision-language models | experimental results showed that compared to the baseline which prompts intermediate reasoning without presenting pragmatic theories 0-shot chain-of-thought our methods enabled language models to achieve up to 9 |
vision-language models vlms exhibit uneven performance across | languages | language agents | vision-language models vlms exhibit uneven performance across languages a problem that is often exacerbated when the model size is reduced |
a unified theory for causal inference direct debiased machine | learning | causal inference | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
during inference slideagent selectively activates specialized | agents | reasoning tasks | during inference slideagent selectively activates specialized agents for multi-level reasoning and integrates their outputs into coherent context-aware answers |
the simulations reveal that tensile strain modifies the dynamics of defect generation and recovery promoting stress-assisted defect mobility and enhancing | defect | strain engineering | the simulations reveal that tensile strain modifies the dynamics of defect generation and recovery promoting stress-assisted defect mobility and enhancing defect survival compared to the unstrained case |
anomaly detection in time-series data is a critical challenge with significant | implications | time series classification | anomaly detection in time-series data is a critical challenge with significant implications for network security |
simulation of the time-dynamics of fermionic many-body systems has | long | numerical simulations | simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers |
in recent work it has been shown that this random return can be well approximated by a finite number of random variables which we call truncated | random | random return | in recent work it has been shown that this random return can be well approximated by a finite number of random variables which we call truncated random return |
our results have applications across diverse contexts from behavioural ecology to bio-inspired collective | systems | evolutionary dynamics | our results have applications across diverse contexts from behavioural ecology to bio-inspired collective systems design |
the approach is evaluated across different network models | network | viral replication | the approach is evaluated across different network models network sizes and fraction of observed infections |
sensitivity analysis for treatment effects in | difference-in-differences | treatment effect boundaries | sensitivity analysis for treatment effects in difference-in-differences models using riesz representation |
the system integrates industrial cameras to monitor equipment operation alignment and hot bar | motion | point tracking | the system integrates industrial cameras to monitor equipment operation alignment and hot bar motion in real time along the process line |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | galaxy cgm | 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 |
building on this insight we propose attncache a framework that accelerates the prefill stage of llm inference by retrieving and reusing similar | attention | vision-language models | building on this insight we propose attncache a framework that accelerates the prefill stage of llm inference by retrieving and reusing similar attention maps |
these results demonstrate that spiral density waves can persist in fully | cosmological | galaxy cgm | these results demonstrate that spiral density waves can persist in fully cosmological disks linking internal dynamical processes to galaxy assembly and offering testable predictions for present and future surveys such as jwst and roman |
biological and artificial learners are inherently exposed to a stream of data and | experience | artificial intelligence | biological and artificial learners are inherently exposed to a stream of data and experience throughout their lifetimes and must constantly adapt to learn from or selectively ignore the ongoing input |
specifically braincognizer introduces two modules the cognitive integration module which incorporates prior human knowledge to extract hierarchical region semantics and the | cognitive | brain activity | specifically braincognizer introduces two modules the cognitive integration module which incorporates prior human knowledge to extract hierarchical region semantics and the cognitive correlation module which captures contextual semantic relationships across regions |
2023 shows that nn matching is an instance of density-ratio estimation with their new | density-ratio | density estimation | 2023 shows that nn matching is an instance of density-ratio estimation with their new density-ratio estimator |
our work significantly extends the existing results on the convergence of gd and sgd by guaranteeing that they apply to practical | neural | neural network | our work significantly extends the existing results on the convergence of gd and sgd by guaranteeing that they apply to practical neural network settings and has the potential to unlock further exploration of learning dynamics |
gaussian processes gps on the other hand are often preferred in | uncertainty | uncertainty quantification | gaussian processes gps on the other hand are often preferred in uncertainty quantification tasks due to their interpretability |
anomaly detection is a fundamental task for time | series | time series classification | anomaly detection is a fundamental task for time series analytics with important implications for the downstream performance of many applications |
in this article we provide a self-contained introduction to the limit theory of dense | multiplex | multiplex networks | in this article we provide a self-contained introduction to the limit theory of dense multiplex networks analogous to the theory of graphons limit theory of dense graphs |
however these evaluations rely on llms proxy | llms | models llms | however these evaluations rely on llms proxy llms to gauge compliance with privacy norms overlooking real users perceptions |
with stesso it has been experimentally proven that n 1 -bit toffoli | gates | -bit toffoli gates | with stesso it has been experimentally proven that n 1 -bit toffoli gates always have lower quantum costs than using conventional composition methods |
human feedback is critical for aligning ai | systems | ai use | human feedback is critical for aligning ai systems to human values |
prior research examined how llms alter user views yet little work extended beyond one-way influence to address how user input can affect | llm | llm raters | prior research examined how llms alter user views yet little work extended beyond one-way influence to address how user input can affect llm responses and how such bi-directional influence manifests throughout the multi-turn conversations |
we present combined jwst nirspec and miri mrs integral field spectroscopy data of the nuclear and circumnuclear regions of the highly dust obscured seyfert 2 galaxy ngc 7582 which is part of the | sample | dwarf galaxies | we present combined jwst nirspec and miri mrs integral field spectroscopy data of the nuclear and circumnuclear regions of the highly dust obscured seyfert 2 galaxy ngc 7582 which is part of the sample of agn in the galaxy activity torus and outflow survey gatos |
the generic population concept - agent-based model henceforth short gepoc abm is one of the models within | gepoc | population size | the generic population concept - agent-based model henceforth short gepoc abm is one of the models within gepoc a generic concept to model a country s population and its dynamics using causal modelling approaches |
neon is an inhibitor of co hydrogenation in pre-stellar | core | star-forming region | neon is an inhibitor of co hydrogenation in pre-stellar core conditions |
we find that simply imposing the m_ rm bh - sigma_ star condition is sufficient to generate a | fraction | star clusters | we find that simply imposing the m_ rm bh - sigma_ star condition is sufficient to generate a fraction of quenched galaxies consistent with current data including the newest ones from euclid |
these findings demonstrate the potential of ai | agents | ai assistance | these findings demonstrate the potential of ai agents to move beyond process partners toward colleagues that share intent strengthen group dynamics and collaborate with humans to advance ideas |
building on this inpainting core we design a spatiotemporal autoregressive inference pipeline that traverses virtual-camera splines and extends videos with overlapping windows enabling coherent | generation | video generation | building on this inpainting core we design a spatiotemporal autoregressive inference pipeline that traverses virtual-camera splines and extends videos with overlapping windows enabling coherent generation at bounded per-step complexity |
in this work we present a fully unsupervised machine | learning | machine learning ml | in this work we present a fully unsupervised machine learning ml workflow that detects and classifies these defects directly from molecular dynamics data |
augmented reality ar technologies are redefining how we perceive and interact with the world by seamlessly integrating digital elements into our | physical | augmented reality | augmented reality ar technologies are redefining how we perceive and interact with the world by seamlessly integrating digital elements into our physical surroundings |
dynamic spatial treatment effects as continuous functionals theory and | evidence | spatial treatment | dynamic spatial treatment effects as continuous functionals theory and evidence from healthcare access |
to construct the what system we first show that a large family of tasks can be systematically described by a | probabilistic | recurrent neural networks | to construct the what system we first show that a large family of tasks can be systematically described by a probabilistic generative model where compositionality stems from a shared underlying vocabulary of discrete task epochs |
furthermore the probabilistic generative capability of the | diffusion | diffusion models | furthermore the probabilistic generative capability of the diffusion model is integrated with physical laws forming a time-varying physical guidance mechanism that adaptively regulates the generation process at different stages thereby enhancing the ability of the model to perceive the intrinsic structure of data and reducing dependence on data quality |
expanding on the graph theoretic ideas of k-component order connectivity and distance-l domination we present a quadratic-complexity algorithm that finds a | tree | spanning trees | expanding on the graph theoretic ideas of k-component order connectivity and distance-l domination we present a quadratic-complexity algorithm that finds a tree s minimum failure-set cardinality i |
this notion of differentiability benefits from calculus rules and is sufficient to prove superlinear | convergence | superlinear convergence | this notion of differentiability benefits from calculus rules and is sufficient to prove superlinear convergence of a newton-type method |
machine learning approaches for image classification have | led | image classification | machine learning approaches for image classification have led to impressive advances in that field |
we successfully generate a three-photon genuinely entangled state from two bi-separable | states | entanglement entropy | we successfully generate a three-photon genuinely entangled state from two bi-separable states via local operations and classical communication demonstrating superactivation of genuine multipartite entanglement |
our comprehensive evaluation of open-weight and proprietary reasoning and non-reasoning vlms | reveals | open-source models | our comprehensive evaluation of open-weight and proprietary reasoning and non-reasoning vlms reveals that most models perform near chance and even the best lag far behind human accuracy on physically irreversible processes e |
quantum error correction thermalization and quantum | chaos | quantum coherence | quantum error correction thermalization and quantum chaos are fundamental aspects of quantum many-body physics that have each developed largely independently despite their deep conceptual overlap |
while deep learning has recently advanced the state-of-the-art in the time series forecasting literature its application to neural activity | forecasting | deep learning | while deep learning has recently advanced the state-of-the-art in the time series forecasting literature its application to neural activity forecasting remains limited |
we show that a single population of spiking | neurons | artificial neural | we show that a single population of spiking neurons can learn the full prediction object through a biologically grounded three factor hebbian rule |
experiments demonstrate the effectiveness of the proposed framework under mobility-induced dynamics and offer useful insights for the practical deployment of fl over | wireless | wireless networks | experiments demonstrate the effectiveness of the proposed framework under mobility-induced dynamics and offer useful insights for the practical deployment of fl over wireless channels |
social influence on complex networks as a perturbation to | individual | social interactions | social influence on complex networks as a perturbation to individual behavior |
distributed stochastic momentum tracking with local | updates | data-driven stabilization | distributed stochastic momentum tracking with local updates achieving optimal communication and iteration complexities |
stellar-mass compact objects cos embedded in active | galactic | stellar mass | stellar-mass compact objects cos embedded in active galactic nucleus agn discs are commonly assumed to accrete via bondi or bondi-hoyle-lyttleton bhl prescriptions neglecting gas angular momentum |
specifically we propose an additive instrumental | variable | instrumental variable | specifically we propose an additive instrumental variable framework to identify mean potential outcomes and the average treatment effect with a weighting function |
reinforcement learning rl can elicit strong | reasoning | reinforcement learning | reinforcement learning rl can elicit strong reasoning in large language models llms yet most open efforts focus on math and code |
these flexible spatial-kinematic absorption models skams can be directly applied to and or easily modified expanded for studying individual or ensembles of observed absorption line systems for exploring various competing theoretical scenarios of the baryon cycle as studied through quasar | absorption | absorption line | these flexible spatial-kinematic absorption models skams can be directly applied to and or easily modified expanded for studying individual or ensembles of observed absorption line systems for exploring various competing theoretical scenarios of the baryon cycle as studied through quasar absorption line systems and or serving as pedagogical tools for developing physical intuition |
detecting the use of generative ai in crowdsourced surveys implications for | data | trustworthy ai | detecting the use of generative ai in crowdsourced surveys implications for data integrity |
a long-standing question remained on its capacity to tackle | deep | deep learning | a long-standing question remained on its capacity to tackle deep learning models capturing rich feature learning effects thus going beyond the narrow networks or kernel methods analysed until now |
in this chapter we relate the general definition of accountability to ai we illustrate what it means for ai to be accountable and unaccountable and we explore approaches that can | improve | ai agents | in this chapter we relate the general definition of accountability to ai we illustrate what it means for ai to be accountable and unaccountable and we explore approaches that can improve our chances of living in a world where all ai is accountable to those who are affected by it |
large language models llms are increasingly used as | raters | models llms | large language models llms are increasingly used as raters for evaluation tasks |
emerging information technologies like social media search engines and ai can have a broad impact on public health political institutions | social | social media | emerging information technologies like social media search engines and ai can have a broad impact on public health political institutions social dynamics and the natural world |
to construct the what system we first show that a large family of tasks can be systematically described by a probabilistic generative model where compositionality stems from a shared underlying | vocabulary | large language models | to construct the what system we first show that a large family of tasks can be systematically described by a probabilistic generative model where compositionality stems from a shared underlying vocabulary of discrete task epochs |
finally we outline several potential applications of nonlinear sis in | wireless | wireless networks | finally we outline several potential applications of nonlinear sis in wireless communication scenarios |
however the lack of dispersion between textual features can hurt calibration performance which raises concerns about | vlms | models vlms | however the lack of dispersion between textual features can hurt calibration performance which raises concerns about vlms reliability trustworthiness and safety |
we present a lateral ventricular brain-computer interface lv-bci that deploys an expandable flexible | electrode | brain-computer interface | we present a lateral ventricular brain-computer interface lv-bci that deploys an expandable flexible electrode into the lateral ventricle through a minimally invasive external ventricular drainage pathway |
there are two major approaches in policy learning the empirical | welfare | policy learning | there are two major approaches in policy learning the empirical welfare maximization ewm approach and the plug-in approach |
by judiciously setting spatial parameters the system can be tuned to exhibit both weak and strong | coupling | coupling regimes | by judiciously setting spatial parameters the system can be tuned to exhibit both weak and strong coupling regimes between the plasmonic and dielectric modes leading to the controlled formation of ep degeneracies |
to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual | cognition | cognitive science | to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual cognition which explores multi-level semantics and correlations without fine-tuning of generative models |
rather than discrete treatment effect estimators the framework characterizes treatment intensity as a continuous function tau mathbf x t over space-time enabling rigorous analysis of propagation dynamics | boundary | effect boundaries | rather than discrete treatment effect estimators the framework characterizes treatment intensity as a continuous function tau mathbf x t over space-time enabling rigorous analysis of propagation dynamics boundary evolution and cumulative exposure patterns |
simulation studies further demonstrate the accuracy and practical value of the | proposed | numerical experiments | simulation studies further demonstrate the accuracy and practical value of the proposed approach |
we explore the fate of different strategies under sustained environmental | change | climate change | we explore the fate of different strategies under sustained environmental change by considering a mathematical model for a large population of asexual organisms |
we present necessary and or sufficient conditions for identification estimation and inference in large samples both | pointwise | density-ratio estimation | we present necessary and or sufficient conditions for identification estimation and inference in large samples both pointwise and uniformly along the boundary |
recent findings reveal that even when the performance remains stable the underlying neural representations can change gradually over | time | continual learning | recent findings reveal that even when the performance remains stable the underlying neural representations can change gradually over time a phenomenon known as representational drift |
we present sia social insight agents an llm | agent | large language models llms | we present sia social insight agents an llm agent system that links heterogeneous multi-modal data -- including raw inputs e |
recent works in continuous-time estimation techniques for | crs | state estimation | recent works in continuous-time estimation techniques for crs show a principled approach to addressing this runtime constraint but are currently restricted to offline operation |
non-monotone traveling waves of the weak competition | lotka-volterra | traveling waves | non-monotone traveling waves of the weak competition lotka-volterra system |
we present conceptscope a scalable and automated framework for analyzing visual datasets by discovering and quantifying human-interpretable concepts using | sparse | sparse autoencoders | we present conceptscope a scalable and automated framework for analyzing visual datasets by discovering and quantifying human-interpretable concepts using sparse autoencoders trained on representations from vision foundation models |
our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum | computing | quantum computing | our study addresses the challenges inherent in calculating mixed fermion-boson systems and explores the potential of quantum computing to advance their analysis |
the model naturally accepts interleaved vision-language inputs and generates | interleaved | vision transformers | the model naturally accepts interleaved vision-language inputs and generates interleaved vision-language outputs |
that is surprising as this framework is naturally suited for hierarchical control applications in general and | autonomous | collision avoidance | that is surprising as this framework is naturally suited for hierarchical control applications in general and autonomous driving tasks in specific |
star quasiconvexity an unified approach for linear | convergence | linear convergence | star quasiconvexity an unified approach for linear convergence of first-order methods beyond convexity |
controlling specific behaviors in large language models while preserving their general | capabilities | large language | controlling specific behaviors in large language models while preserving their general capabilities is a central challenge for safe and reliable artificial intelligence deployment |
the majority of research in both training artificial neural networks anns and modeling learning in | biological | artificial neural | the majority of research in both training artificial neural networks anns and modeling learning in biological brains focuses on synaptic plasticity where learning equates to changing the strength of existing connections |
inference-cost-aware dynamic tree construction for efficient | inference | vision-language models | inference-cost-aware dynamic tree construction for efficient inference in large language models |
then a central question emerges how can machines better understand our | situations | normative reasoning | then a central question emerges how can machines better understand our situations and purposes |
recent advances advocate easily obtainable | channel | channel state | recent advances advocate easily obtainable channel state information csi by commercial wifi devices for lightweight rf fingerprinting while falling short in addressing the challenges of coarse granularity of csi measurements in an open-world setting |
reliable uncertainty quantification is crucial for | reinforcement | reinforcement learning | reliable uncertainty quantification is crucial for reinforcement learning rl in high-stakes settings |
while prior studies aim to explain this effect most | theoretical | theoretical findings | while prior studies aim to explain this effect most theoretical insights are limited to abstract frameworks or linear random feature models |
automating the co-design of a robot s morphology and | control | robotic systems | automating the co-design of a robot s morphology and control is a long-standing challenge due to the vast design space and the tight coupling between body and behavior |
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