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farsiqa faithful and advanced rag system for islamic
question
question answering
farsiqa faithful and advanced rag system for islamic question answering
bidirectional yet asymmetric causality between
urban
urban systems
bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide
this approach opens the way to the use of partial intercalation to define regions with distinct
magnetic
magnetic ground
this approach opens the way to the use of partial intercalation to define regions with distinct magnetic properties within a single flake
we implement our algorithm and show that it outperforms a state-of-the-art commercial mixed-integer second-order cone programming misocp solver by orders of magnitude over a large range of
problem
inverse optimal issf
we implement our algorithm and show that it outperforms a state-of-the-art commercial mixed-integer second-order cone programming misocp solver by orders of magnitude over a large range of problem sizes
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
generative ai
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
this optical design naturally encodes depth into its depth-varying point spread functions psfs without requiring
complex
optical properties
this optical design naturally encodes depth into its depth-varying point spread functions psfs without requiring complex diffractive or freeform elements
finally we demonstrate how this could be used in the field by having a robot attempt a gap-crossing
task
obstacle avoidance
finally we demonstrate how this could be used in the field by having a robot attempt a gap-crossing task with and without inflating its actuators
in addition we use lime heatmaps and jensen-shannon divergence to compare
attention
convolutional neural
in addition we use lime heatmaps and jensen-shannon divergence to compare attention patterns of the cnns
angular steering generalizes existing addition and orthogonalization techniques under a unified geometric rotation framework simplifying parameter selection and
maintaining
angular steering
angular steering generalizes existing addition and orthogonalization techniques under a unified geometric rotation framework simplifying parameter selection and maintaining model stability across a broader range of adjustments
we demonstrate how the metallicity dependence of the yields can be mathematically considered as a system-dependent delay time approximately equal to the system s depletion
time
stellar mass function
we demonstrate how the metallicity dependence of the yields can be mathematically considered as a system-dependent delay time approximately equal to the system s depletion time that when combined with system-independent delay times arising from stellar evolutionary channels produces the separation of different systems ...
yet the relationship between parametric-oscillator implementations and traditional oscillator-based
ising
ising machines
yet the relationship between parametric-oscillator implementations and traditional oscillator-based ising machines remains underexplored
while a multi-agent approach based on large language models llms represents a promising strategy to surpass the
capabilities
language models
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
parents also noted gaps in their own ai understanding often turning to joint exploration and
engagement
ai literacy
parents also noted gaps in their own ai understanding often turning to joint exploration and engagement as a form of co-learning
8-ev tabletop femtosecond laser with tunable polarization for high-resolution angle-resolved
photoemission
photoemission spectroscopy
8-ev tabletop femtosecond laser with tunable polarization for high-resolution angle-resolved photoemission spectroscopy
oriented towards macro-micro traffic states we propose entropy-based and area-based uncertainty measures respectively and transform the optimal uav deployment problem into minimizing the
uncertainty
optimal uav
oriented towards macro-micro traffic states we propose entropy-based and area-based uncertainty measures respectively and transform the optimal uav deployment problem into minimizing the uncertainty of macro-micro traffic states
recurrent neural networks with balanced excitation and inhibition exhibit
irregular
dynamical systems
recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dynamics which is fundamental for cortical computations
such costs can however be reduced thanks to effective travel information strategies during
traffic
traffic dynamics
such costs can however be reduced thanks to effective travel information strategies during traffic disruptions
to this end the sloshing dynamics is incorporated into the dynamic model used within the optimal
control
optimal control
to this end the sloshing dynamics is incorporated into the dynamic model used within the optimal control problem formulation
as llms occupy an increasingly important role in society they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain human
value
llm agents
as llms occupy an increasingly important role in society they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain human value systems
in addition practitioners also want confidence that the learned policy has better performance than the incumbent policy according to downstream
policy
policy learning
in addition practitioners also want confidence that the learned policy has better performance than the incumbent policy according to downstream policy evaluation
these findings underscore a key role for confidence in
interactions
human-ai interaction
these findings underscore a key role for confidence in interactions with genai shaped by both prior beliefs about oneself and the reliability of ai and context-dependent exposure to advice
simulated galaxies with higher halo masses higher median cgm gas density and higher star formation
rates
stellar mass function
simulated galaxies with higher halo masses higher median cgm gas density and higher star formation rates produce brighter and more widespread o vi emission in their cgm
in this review we discuss how human intracranial recordings can advance the search for
nccs
surrogate brain
in this review we discuss how human intracranial recordings can advance the search for nccs by offering high spatiotemporal resolution improved signal sensitivity and broad cortical and subcortical coverage
in contrast we show that a clt holds for sgd iterates when the number of iterations grows as t gtrsim d 1 delta for any
delta
convergence rate
in contrast we show that a clt holds for sgd iterates when the number of iterations grows as t gtrsim d 1 delta for any delta 0 significantly extending the dimensional regime permitted by prior works while improving computational efficiency
in our framework the group intent is specified by the characteristic function of a cooperative game and allocations for players in the
cooperative
cooperative game
in our framework the group intent is specified by the characteristic function of a cooperative game and allocations for players in the cooperative game are specified by either the core the shapley value or the nucleolus
this approach requires only a dimension-independent number of zero-order
evaluations
first-order methods
this approach requires only a dimension-independent number of zero-order evaluations -- as few as eight -- at each iteration step
existing automl solutions are unfortunately not directly applicable to time series
anomaly
anomaly detection
existing automl solutions are unfortunately not directly applicable to time series anomaly detection and no evaluation of time series-based approaches for model selection exists
radio frequency rf signal recognition plays a critical role in modern
wireless
wireless systems
radio frequency rf signal recognition plays a critical role in modern wireless communication and security applications
while recent breakthroughs in computer vision cv and artificial intelligence ai have driven remarkable progress the field still faces a critical challenge as knowledge remains fragmented across multimodal perception contextual
reasoning
vision-language models vlms
while recent breakthroughs in computer vision cv and artificial intelligence ai have driven remarkable progress the field still faces a critical challenge as knowledge remains fragmented across multimodal perception contextual reasoning and cooperative intelligence
bayesian neural networks bnns provide a framework for this purpose by constructing a bayesian posterior distribution over the
network
neural network
bayesian neural networks bnns provide a framework for this purpose by constructing a bayesian posterior distribution over the network parameters
the mathematical foundations create a physics of information which enable these techniques to apply effectively to a wide variety of complex
data
real data
the mathematical foundations create a physics of information which enable these techniques to apply effectively to a wide variety of complex data types including missing data
many tasks in human environments require collaborative behavior between multiple kinematic chains either to provide additional support for carrying big and bulky
objects
robotic manipulation
many tasks in human environments require collaborative behavior between multiple kinematic chains either to provide additional support for carrying big and bulky objects or to enable the dexterity that is required for in-hand manipulation
a comprehensive simulation study confirms that our
procedures
randomized experiments
a comprehensive simulation study confirms that our procedures substantially outperform competing methods in finite samples
this insight has a deep root in the unique structural property of the optimal
policy
policy learning
this insight has a deep root in the unique structural property of the optimal policy class under the kl-regularized target and we further specialize it to the bt model highlighting the surprising sufficiency of greedy sampling in rlhf
however the phase map can be reconstructed from a single-shot schlieren image of a transparent and weak-phase object using the
filtered
phase transitions
however the phase map can be reconstructed from a single-shot schlieren image of a transparent and weak-phase object using the filtered fourier transform method
furthermore to ensure suitability for predictive control a control-consistent extended dynamic mode decomposition with stability constraints is employed to learn the residual dynamics for which we provide boundedness proofs and
stability
data-driven stabilization
furthermore to ensure suitability for predictive control a control-consistent extended dynamic mode decomposition with stability constraints is employed to learn the residual dynamics for which we provide boundedness proofs and stability guarantees
one of the main challenges in isac lies in resource
allocation
resource allocation
one of the main challenges in isac lies in resource allocation which becomes computationally demanding in dynamic environments requiring real-time adaptation
this does not preclude the reversed causal direction whereby long-established
mobility
human mobility
this does not preclude the reversed causal direction whereby long-established mobility patterns can also reshape the built environment over time
existing vision-language navigation vln approaches are mostly designed for ground robots and struggle to generalize to aerial tasks that require full 3d
spatial
vision-language models
existing vision-language navigation vln approaches are mostly designed for ground robots and struggle to generalize to aerial tasks that require full 3d spatial reasoning
recent video generation models can produce high-fidelity temporally coherent
videos
video generation
recent video generation models can produce high-fidelity temporally coherent videos indicating that they may encode substantial world knowledge
in order to tackle this challenging optimization
problem
optimization problem
in order to tackle this challenging optimization problem an efficient low-complexity optimization algorithm is developed
our work identifies how enhanced coulomb interactions in two dimensions can stabilize this
phase
phase transition
our work identifies how enhanced coulomb interactions in two dimensions can stabilize this phase at significantly higher temperatures proposing promising material candidates for observing these collective states
these results highlight a fundamental gap in current
multimodal
vision-language models
these results highlight a fundamental gap in current multimodal systems while they capture rich visual-semantic correlations they lack the inductive biases required for temporal continuity and causal understanding
cross-platform evaluation of reasoning capabilities in
foundation
foundation models
cross-platform evaluation of reasoning capabilities in foundation models
under optimal excitation conditions we also observe biexciton preparation via a distinct super resonance confirmed by unpolarized exciton emission extended lifetime due to the biexciton-exciton cascade and biexciton
emission
spontaneous emission
under optimal excitation conditions we also observe biexciton preparation via a distinct super resonance confirmed by unpolarized exciton emission extended lifetime due to the biexciton-exciton cascade and biexciton emission constituting the first experimental demonstrations of biexciton preparation under super
the local quadratic convergence for strongly convex functions with
lipschitz
local convergence
the local quadratic convergence for strongly convex functions with lipschitz continuous hessians and for self-concordant functions is established and confirmed empirically
this leads to an imbalanced optimization that drives the model to prioritize simple reasoning
skills
reasoning capabilities
this leads to an imbalanced optimization that drives the model to prioritize simple reasoning skills while hindering its ability to tackle more complex reasoning tasks
we revisit the classical problem of comparing regression functions a fundamental question in statistical inference with broad relevance to modern applications such as data integration transfer learning and
causal
causal inference
we revisit the classical problem of comparing regression functions a fundamental question in statistical inference with broad relevance to modern applications such as data integration transfer learning and causal inference
as coding agents are increasingly deployed in large codebases the need to automatically design challenging
codebase-level
code review
as coding agents are increasingly deployed in large codebases the need to automatically design challenging codebase-level evaluation is central
combined with the distribution of serial intervals or generation times the rate gives basic and instantaneous values of the reproduction number that govern development and ultimate
outcome
growth rates
combined with the distribution of serial intervals or generation times the rate gives basic and instantaneous values of the reproduction number that govern development and ultimate outcome of the epidemic
tracing the evolution of brightest galaxies and
diffuse
circumgalactic medium
tracing the evolution of brightest galaxies and diffuse light in galaxy groups
starting with an impractical scheme based on the standard martingale central
limit
asymptotic normality
starting with an impractical scheme based on the standard martingale central limit theorem we progressively address its limitations from implementation perspectives in the non-asymptotic regime
the local quadratic convergence for strongly
convex
strongly convex
the local quadratic convergence for strongly convex functions with lipschitz continuous hessians and for self-concordant functions is established and confirmed empirically
building on this estimator we construct confidence
intervals
confidence intervals
building on this estimator we construct confidence intervals that remain valid under limited overlap and can also be used to assess sensitivity to violations of the constant effects assumption
we derive the limiting distributions of the proposed tests and prove that our estimator of the distribution of v_t converges to the uniform distribution at a
rate
asymptotic normality
we derive the limiting distributions of the proposed tests and prove that our estimator of the distribution of v_t converges to the uniform distribution at a rate faster than the usual parametric n -1 2 -rate
participants our findings show that the responsibility is viewed as a shared duty across the
robot
mobile robots
participants our findings show that the responsibility is viewed as a shared duty across the robot company parents developers and government
in addition to the vertical excitation the effect of
structural
electronic structure
in addition to the vertical excitation the effect of structural relaxation is also estimated using analytical atomic forces
these results indicate that the privacy and helpfulness of
llm
llm reasoning
these results indicate that the privacy and helpfulness of llm responses are often specific to individuals and proxy llms are poor estimates of how real users would perceive these responses in privacy-sensitive scenarios
by training across animals with overlapping subsets of recorded areas neuropaint learns to reconstruct activity in missing
areas
brain regions
by training across animals with overlapping subsets of recorded areas neuropaint learns to reconstruct activity in missing areas based on shared structure across individuals
ais have made rapid progress on research-oriented
benchmarks
artificial intelligence
ais have made rapid progress on research-oriented benchmarks of knowledge and reasoning but it remains unclear how these gains translate into economic value and automation
the neuroticism paradox how emotional instability fuels
collective
collective action
the neuroticism paradox how emotional instability fuels collective feelings
the results of the six-stages evaluation show that the proposed trust measurement instrument is empirically reliable and valid for systematically measuring and comparing non-experts
trust
trustworthy ai
the results of the six-stages evaluation show that the proposed trust measurement instrument is empirically reliable and valid for systematically measuring and comparing non-experts trust in ai medical support systems
to overcome this challenge we introduce the budgeted deferral framework which aims to train effective deferral
algorithms
learning algorithm
to overcome this challenge we introduce the budgeted deferral framework which aims to train effective deferral algorithms while minimizing expert query costs during training
for thin films of pt our calculations show that the relative contributions of the orbital edelstein and surface pockels effects are comparable and that they have different effects on
kerr
kerr rotation
for thin films of pt our calculations show that the relative contributions of the orbital edelstein and surface pockels effects are comparable and that they have different effects on kerr rotation of s and p polarized light theta_k s and theta_k p
in this work we study an interaction between the author and a large
language
language models
in this work we study an interaction between the author and a large language model in proving a lemma from convex optimization
we propose a mathematically principled pde
gradient
gradient descent
we propose a mathematically principled pde gradient flow framework for distributionally robust optimization dro
locations with high habitat quality may play a minor role in
species
ecological communities
locations with high habitat quality may play a minor role in species spread if they are geographically isolated
we demonstrate the value of this approach by applying it to a set of experiments and find that our method would have reduced the variance of the treatment effect
estimate
average treatment
we demonstrate the value of this approach by applying it to a set of experiments and find that our method would have reduced the variance of the treatment effect estimate by 10 -50 compared to simple randomization in our empirical applications
these results highlight the substantial room for improvement and underscore the
challenges
llm post-training
these results highlight the substantial room for improvement and underscore the challenges of applying llms in education
this article proposes a modular optimal control framework for local three-dimensional ellipsoidal obstacle avoidance exemplarily applied to model
predictive
predictive control
this article proposes a modular optimal control framework for local three-dimensional ellipsoidal obstacle avoidance exemplarily applied to model predictive path-following control
the method is simple to apply as it involves a single baseband voltage pulse to a specific region in the quantum
dot
quantum dot
the method is simple to apply as it involves a single baseband voltage pulse to a specific region in the quantum dot stability diagram where the relaxation time from the latched state to the ground state is over 50 times faster
we show that all types of nash equilibria correspond to steady states of a dynamical system describing the underlying
evolutionary
game theory
we show that all types of nash equilibria correspond to steady states of a dynamical system describing the underlying evolutionary process
in this paper we explore the stellar mass profiles of a sample of disk galaxies with similar stellar
masses
black hole mass
in this paper we explore the stellar mass profiles of a sample of disk galaxies with similar stellar masses sim 10 10 m _ odot using iac stripe82 legacy project data
exceptional points and lasing thresholds when lower-q
modes
exceptional points
exceptional points and lasing thresholds when lower-q modes win
this paper studies nonparametric local over- identification in the sense of chen and santos 2018 and the associated semiparametric efficiency in modern
causal
causal inference
this paper studies nonparametric local over- identification in the sense of chen and santos 2018 and the associated semiparametric efficiency in modern causal frameworks
understanding how creativity is represented in the brain s intrinsic
functional
neural representations
understanding how creativity is represented in the brain s intrinsic functional architecture remains a central challenge in cognitive neuroscience
our work contributes to understanding how linguistic
theory
pragmatic theories
our work contributes to understanding how linguistic theory can be used to address the alignment problem by making hai interaction more natural and contextually grounded
we model different scenarios of competition between tumor cells using a static
evolutionary
evolutionary dynamics
we model different scenarios of competition between tumor cells using a static evolutionary game in which cells compete for nutrients and oxygen and might choose to stay and proliferate in the primary tumor or opt to a motility strategy in order to find resources in a metastatic site
our work has implications for developing nlp tools for minority
languages
language agents
our work has implications for developing nlp tools for minority languages and supporting language preservation in communities under lexical pressure from dominant languages
this paper explores a multi-cell multiple-input single-output miso downlink
communication
communication systems
this paper explores a multi-cell multiple-input single-output miso downlink communication system enabled by a unique transmissive reconfigurable intelligent surface ris transceiver trtc configuration
comprehensively the delocalized cu atom enhancing the phonon scattering process and the off-centred displacement of cations leading to bonding anharmonicity results ultra-low lattice thermal
conductivity
heat conduction
comprehensively the delocalized cu atom enhancing the phonon scattering process and the off-centred displacement of cations leading to bonding anharmonicity results ultra-low lattice thermal conductivity kappa_l
artificial intelligence ai has demonstrated impressive progress in mathematical
reasoning
mathematical reasoning
artificial intelligence ai has demonstrated impressive progress in mathematical reasoning yet its integration into the practice of mathematical research remains limited
to address these limitations we propose a symbolic regression sr -based
ml
machine learning
to address these limitations we propose a symbolic regression sr -based ml framework
we propose an ml based user localization framework for ris assisted
communication
wireless systems
we propose an ml based user localization framework for ris assisted communication at 27 ghz
we developed and compared three different binarization
methods
brain-computer interface
we developed and compared three different binarization methods and used them to identify third-order interactions in an experiment involving imagined motor movements
first to ensure safety at the path-segment level a segment-wise conservative collision test is applied where risk-prone trajectory path segments are recursively subdivided until
collision
dynamic obstacles
first to ensure safety at the path-segment level a segment-wise conservative collision test is applied where risk-prone trajectory path segments are recursively subdivided until collision risks are eliminated
we use a highly efficient and accurate computational approach where the scattering rates are derived using only a few
ab
ab initio calculations
we use a highly efficient and accurate computational approach where the scattering rates are derived using only a few ab initio extracted matrix elements while we account fully for intra- inter valley band transitions screening from both electrons and holes and bipolar transport effects
we focus on an important safety problem that is already challenging for
humans
human-ai interaction
we focus on an important safety problem that is already challenging for humans fact-verification of ai outputs
in some bulges we also find up to a 32 of
stars
stellar population
in some bulges we also find up to a 32 of stars that migrated from the disk due to secular evolution with a median of 10
distributional assumptions that discipline serially correlated latent
variables
causal inference
distributional assumptions that discipline serially correlated latent variables play a central role in dynamic structural models
a survey of heterogeneous graph neural networks for cybersecurity
anomaly
graph neural
a survey of heterogeneous graph neural networks for cybersecurity anomaly detection
to address this challenge this paper presents a forecast-integrated optimal power
flow
power flow
to address this challenge this paper presents a forecast-integrated optimal power flow opf -based adaptive control framework
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of
large
large language models llms
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
by having two parties transmit phase encoded weak coherent pulses wcp to an untrusted central node the tf-qkd exploits single-photon interference to achieve secret
key
quantum channels
by having two parties transmit phase encoded weak coherent pulses wcp to an untrusted central node the tf-qkd exploits single-photon interference to achieve secret key rates scaling as square-root of channel length enabling quantum-secured communication over unprecedented distances
previous studies have used networks to describe interactions and explore the evolution of cooperation but with limited transposability to
social
social interactions
previous studies have used networks to describe interactions and explore the evolution of cooperation but with limited transposability to social settings due to biologically relevant assumptions
unlike traditional approach in coalescent theory which considers the unconditional
annealed
population genetics
unlike traditional approach in coalescent theory which considers the unconditional annealed law of the gene genealogies averaged over the population pedigree here we study the conditional quenched law of gene genealogies given the pedigree
additionally we consider emerging modalities such as audio and
egocentric
vision transformers
additionally we consider emerging modalities such as audio and egocentric video which contribute to novel spatial understanding through new sensors
secondly catg parameterizes driving aggressiveness as a control signal during generation enabling precise manipulation of
trajectory
motion trajectory
secondly catg parameterizes driving aggressiveness as a control signal during generation enabling precise manipulation of trajectory style
these findings suggest that resting-state eeg connectivity patterns can index stable
cognitive
human brain
these findings suggest that resting-state eeg connectivity patterns can index stable cognitive traits such as creativity
moreover we prove analogous equivalences for inverse suffix array queries pattern ranking lexicographic range and sa-interval
queries
query complexity
moreover we prove analogous equivalences for inverse suffix array queries pattern ranking lexicographic range and sa-interval queries identifying six core problem pairs that connect string and prefix query models