prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
|---|---|---|---|
inference latency stands as a critical bottleneck in the large-scale deployment of large | language | language models | inference latency stands as a critical bottleneck in the large-scale deployment of large language models llms |
see4d pose-free 4d generation via auto-regressive | video | video generation | see4d pose-free 4d generation via auto-regressive video inpainting |
the second part learns the neural stability | descriptor | neural network | the second part learns the neural stability descriptor by iteratively training the nns with sample augmentation guided by the tailored conservativeness-aware loss function |
quantifying memory effects by the trace-distance based measure for non-markovianity and performing numerical simulations employing the hierarchical equations of motion approach we find a pronounced peak structure when plotting the non-markovianity | measure | memory effects | quantifying memory effects by the trace-distance based measure for non-markovianity and performing numerical simulations employing the hierarchical equations of motion approach we find a pronounced peak structure when plotting the non-markovianity measure as a function of the driving amplitude |
through sed fitting we determine the luminosities of these | quasars | dwarf galaxies | through sed fitting we determine the luminosities of these quasars and find that their dust torus sizes follow the established r_ dust -l_ agn relation reported in previous studies |
second we propose vimogen a flow-matching-based | diffusion | diffusion models | second we propose vimogen a flow-matching-based diffusion transformer that unifies priors from mocap data and vigen models through gated multimodal conditioning |
on the go with ar attention to virtual and | physical | mobile ar | on the go with ar attention to virtual and physical targets while varying augmentation density |
we study a family of stationary hamilton-jacobi-bellman hjb equations in hilbert spaces arising from stochastic optimal | control | optimal control | we study a family of stationary hamilton-jacobi-bellman hjb equations in hilbert spaces arising from stochastic optimal control problems |
the optimal control model supports the development and seasonal timing of cost-effective mosquito | control | optimal control | the optimal control model supports the development and seasonal timing of cost-effective mosquito control methods |
the results revealed that pedestrian speed has a negative relationship with | crash | crash risk | the results revealed that pedestrian speed has a negative relationship with crash risk while flow and speed of motorized vehicles pedestrian flow and non-motorized vehicles conflicting speed contribute positively |
inference latency stands as a critical bottleneck in the large-scale deployment of | large | models llms | inference latency stands as a critical bottleneck in the large-scale deployment of large language models llms |
computer-using agents powered by vision-language | models | ai systems | computer-using agents powered by vision-language models vlms have demonstrated human-like capabilities in operating digital environments like mobile platforms |
our methodology is twofold first we develop algorithms to process raw position data accurately extracting the commuting trajectory | transportation | traffic dynamics | our methodology is twofold first we develop algorithms to process raw position data accurately extracting the commuting trajectory transportation mode and transfer stations |
we propose viz-coast a method of leveraging the common-sense spatial reasoning of large pretrained vision-language | models | vision-language models vlms | we propose viz-coast a method of leveraging the common-sense spatial reasoning of large pretrained vision-language models to identify issues with downward refinement a priori bypassing the need to fix these failures during planning |
wave guides for classical electromagnetic fields can realize the | quantum | quantum emitters | wave guides for classical electromagnetic fields can realize the quantum evolution of the wave function for a system of qubits |
we find that the extracted bandgap of gaas is approximately 13 mev higher than the expected value based on | previous | bulk gaas | we find that the extracted bandgap of gaas is approximately 13 mev higher than the expected value based on previous absorbance measurements |
violations of conditional exchangeability substantially limit the validity of ite estimates from | causal | conditional exchangeability | violations of conditional exchangeability substantially limit the validity of ite estimates from causal ml models in routinely collected observational data |
to advance empirical practice we propose a simple joint inference procedure for the rd effect and its local external | validity | external validity | to advance empirical practice we propose a simple joint inference procedure for the rd effect and its local external validity building on calonico cattaneo and titiunik 2014 econometrica and dong and lewbel 2015 review of economics and statistics |
we define symmetric and asymmetric branching | trees | phylogenetic tree | we define symmetric and asymmetric branching trees a class of processes particularly suited for modeling genealogies of inhomogeneous populations where individuals may reproduce throughout life |
we propose a bias correction procedure to mitigate the adverse effects of | synthetic | synthetic data | we propose a bias correction procedure to mitigate the adverse effects of synthetic data enhancing prediction accuracy while avoiding overfitting |
it not only provides a more quality foundational network framework for network research but also serve as the brand | new | scale-free networks | it not only provides a more quality foundational network framework for network research but also serve as the brand new paradigm for bridging the conceptual divide between various classical network models |
large language models llms are widely used in generative | applications | llm inference | large language models llms are widely used in generative applications such as chatting code generation and reasoning |
at each time step each individual produces a large number of offspring that inherit the | fitness | population genetics | at each time step each individual produces a large number of offspring that inherit the fitness of their parents up to independent and identically distributed fluctuations |
building on the eth matrix ansatz and the structure of the out-of-time-order correlator otoc we show that the chaos bound directly constrains the | error | quantum correlations | building on the eth matrix ansatz and the structure of the out-of-time-order correlator otoc we show that the chaos bound directly constrains the error of an approximate quantum error-correcting code |
we review self-organization in driven amorphous solids concluding with a discussion of what self-organization in driven disordered | systems | molecular dynamics | we review self-organization in driven amorphous solids concluding with a discussion of what self-organization in driven disordered systems can teach us about how simple organisms sense and adapt to their changing environments |
a common approach is to train a machine learning model to predict counterfactual outcomes and then select the | policy | policy optimization | a common approach is to train a machine learning model to predict counterfactual outcomes and then select the policy that optimizes the predicted objective value |
the reasoning capabilities of large language | models | large language models llms | the reasoning capabilities of large language models llms have led to their increasing employment in several critical applications particularly education where they support problem-solving tutoring and personalized study |
to overcome this the framework introduces a non-linear link function within a bayesian generalized extreme value gev structure to capture | traffic | traffic dynamics | to overcome this the framework introduces a non-linear link function within a bayesian generalized extreme value gev structure to capture traffic variability more accurately |
dynamic spatial treatment effect boundaries a continuous | functional | dynamic spatial | dynamic spatial treatment effect boundaries a continuous functional framework from navier-stokes equations |
we observe shallow slopes in the underlying m_ rm hi -m_ star scaling relations suggesting the presence of an upper hi mass limit beyond which a galaxy can no longer retain further | hi | hi mass | we observe shallow slopes in the underlying m_ rm hi -m_ star scaling relations suggesting the presence of an upper hi mass limit beyond which a galaxy can no longer retain further hi gas |
this is a concise pedagogical introduction to the dynamic field of | open | open quantum | this is a concise pedagogical introduction to the dynamic field of open quantum systems governed by markovian master equations |
since the bias-correction term h_0 is essential for | ate | ate estimation | since the bias-correction term h_0 is essential for ate estimation this direct approach is expected to improve estimation accuracy for the ate |
extensive simulations and a real-world application demonstrate that our approach reliably recovers unbiased | causal | causal effects | extensive simulations and a real-world application demonstrate that our approach reliably recovers unbiased causal estimates whenever exposure and confounder signals are separable on a plurality of basis functions |
finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement | channels | quantum correlations | finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement channels with tunable strengths and experimentally confirming the predicted efficiency enhancement enabled by correlation-assisted superposed causal order |
our comprehensive synthetic data pipeline unifies diverse generators including | stochastic | generative models | our comprehensive synthetic data pipeline unifies diverse generators including stochastic differential equations gaussian processes and audio synthesis with novel augmentations |
through a systematic survey of 258 chi papers from 2020-2025 on llms we discuss how hci hardly perceives | llm | llm reasoning | through a systematic survey of 258 chi papers from 2020-2025 on llms we discuss how hci hardly perceives llm reasoning as a product of sociotechnical orchestration and often references it as an object of application |
model-independent inference of galaxy star formation | histories | bulge stars | model-independent inference of galaxy star formation histories in the local volume |
accurate world models are essential for enabling agents to think | plan | world models | accurate world models are essential for enabling agents to think plan and reason effectively in complex dynamic settings |
to address this we propose a novel approach the | emotional | empathic prompting | to address this we propose a novel approach the emotional rationale verifier erv and an explanation reward |
rectified flow models have become a de facto standard in image | generation | image generation | rectified flow models have become a de facto standard in image generation due to their stable sampling trajectories and high-fidelity outputs |
conditional forecasts and proper scoring rules for reliable and | accurate | proper scoring | conditional forecasts and proper scoring rules for reliable and accurate performative predictions |
by first establishing a converse issf-bf theorem we reveal the equivalence among the achievability of issf by feedback the achievability of inverse optimality and the solvability of a hamilton-jacobi-isaacs equation associated with the inverse | optimal | optimal control | by first establishing a converse issf-bf theorem we reveal the equivalence among the achievability of issf by feedback the achievability of inverse optimality and the solvability of a hamilton-jacobi-isaacs equation associated with the inverse optimal issf gain assignment |
lifting and partial smoothing for stationary hjb equations and related | control | optimal control | lifting and partial smoothing for stationary hjb equations and related control problems in infinite dimensions |
experiments on real world gui tasks further validate the close link between | gui | gui knowledge | experiments on real world gui tasks further validate the close link between gui knowledge and task success |
while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning | remains | language agents | while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning remains underexplored |
by integrating the open-mindedness of voters the stubbornness of opinion interactions and the antagonism effect manipulated by the two parties we systematically explore the intricate interplay between top-down political campaigns and bottom-up interpersonal | opinion | opinion dynamics | by integrating the open-mindedness of voters the stubbornness of opinion interactions and the antagonism effect manipulated by the two parties we systematically explore the intricate interplay between top-down political campaigns and bottom-up interpersonal opinion dynamics unveiling their nonlinear coupling impacts on... |
we revisit softmax irl and show that the population maximum-likelihood solution is characterized by a linear fixed-point equation involving the | behavior | policy learning | we revisit softmax irl and show that the population maximum-likelihood solution is characterized by a linear fixed-point equation involving the behavior policy |
adapting large language models llms via reinforcement learning rl is often bottlenecked by the | generation | large language models llms | adapting large language models llms via reinforcement learning rl is often bottlenecked by the generation stage which can consume over 75 of the training time |
advice-seekers showed increased retrospective confidence in genai while those who declined advice showed increased | confidence | retrospective confidence | advice-seekers showed increased retrospective confidence in genai while those who declined advice showed increased confidence in self |
proximal gradient algorithms pga while foundational for | inverse | gradient flow | proximal gradient algorithms pga while foundational for inverse problems like image reconstruction often yield unstable convergence and suboptimal solutions by violating the critical non-negativity constraint |
autonomous robots in orchards require real-time 3d | scene | spatial reasoning | autonomous robots in orchards require real-time 3d scene understanding despite repetitive row geometry seasonal appearance changes and wind-driven foliage motion |
the pilot feedback suggests the potential of the fractalbrain to | facilitate | sensorimotor disruptions | the pilot feedback suggests the potential of the fractalbrain to facilitate mindfulness and enhance attention |
as a byproduct we also provide a separation between incremental and decremental algorithms for the triangle detection problem we show a decremental algorithm with | tilde | -time algorithm | as a byproduct we also provide a separation between incremental and decremental algorithms for the triangle detection problem we show a decremental algorithm with tilde o n omega total update time while every incremental algorithm requires n 3-o 1 total update time assuming the omv hypothesis |
generating pivot gray codes for spanning trees of complete | graphs | tree embedding | generating pivot gray codes for spanning trees of complete graphs in constant amortized time |
applying this framework to a finite-width relu network we find that its hidden layer exhibits an | abstract | deep learning | applying this framework to a finite-width relu network we find that its hidden layer exhibits an abstract representation at all global minima of the task objective |
we present properties of the entire x-ray detected blazar population including the distributions of x-ray luminosities and photon indices | multiwavelength | gamma -ray | we present properties of the entire x-ray detected blazar population including the distributions of x-ray luminosities and photon indices multiwavelength properties and the blazar log n-log s distribution |
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 population | 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 ... |
however the current llm post-training paradigm faces significant data | challenges | llm post-training | however the current llm post-training paradigm faces significant data challenges including the high costs of manual annotation and diminishing marginal returns on data scales |
this body of theory can accommodate a range of social dilemmas or | games | game theory | this body of theory can accommodate a range of social dilemmas or games as well as real-world complexities such as spatial structure or behaviors conditioned on reputations |
comprehensive docstrings yield modest gains of 1 to 3 in functional | accuracy | findings highlight | comprehensive docstrings yield modest gains of 1 to 3 in functional accuracy though statistical significance is rare |
we first empirically demonstrate that a wide range of modern | language | language models | we first empirically demonstrate that a wide range of modern language models exhibit low-rank structure in particular matrices built from the model s logits for varying sets of prompts and responses have low approximate rank |
using stieltjes transform techniques we extend these results to the independent component model deriving a fixed-point equation that characterizes the limiting | spectral | spectral density | using stieltjes transform techniques we extend these results to the independent component model deriving a fixed-point equation that characterizes the limiting spectral distribution of frac 1 2 tr sigma k_n |
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 | image fusion | 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 |
however these methods assume that only one object is provided and that it is possible with the correct grasp to perform the task they are not capable of identifying grasping and using the best object for a task when many are available especially when the optimal | tool | robotic manipulation | however these methods assume that only one object is provided and that it is possible with the correct grasp to perform the task they are not capable of identifying grasping and using the best object for a task when many are available especially when the optimal tool is absent |
in this project we seek to combine the two problems into a voter-blotto game and examine what components of the graph most | effect | swing voters | in this project we seek to combine the two problems into a voter-blotto game and examine what components of the graph most effect its value in the eyes of the competing players |
key to our analysis is a case-by-case investigation based on the nerve complex of the set of maximal | codewords | neural codes | key to our analysis is a case-by-case investigation based on the nerve complex of the set of maximal codewords of a neural code |
a data-driven method to determine combination | averaging | weight constraints | a data-driven method to determine combination averaging weights typically optimizes a criterion under certain weight constraints |
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding | fmri | visual stimuli | however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding fmri representations under the supervision of images |
validated in high-fidelity simulation with realistic quadrotor dynamics the resulting policies significantly outperform both a standard | reinforcement | deep reinforcement | validated in high-fidelity simulation with realistic quadrotor dynamics the resulting policies significantly outperform both a standard reinforcement learning baseline and a state-of-the-art game-theoretic planner |
to illustrate this we construct a class of structured datasets where incremental adam provably converges to the ell_2 -max-margin classifier in contrast to the ell_ infty -max-margin | bias | debiased machine learning | to illustrate this we construct a class of structured datasets where incremental adam provably converges to the ell_2 -max-margin classifier in contrast to the ell_ infty -max-margin bias of full-batch adam |
second it incorporates human-written code submissions collected from real programming contests enabling both quantitative comparisons and qualitative analyses of llm outputs against | human-written | code review | second it incorporates human-written code submissions collected from real programming contests enabling both quantitative comparisons and qualitative analyses of llm outputs against human-written codes |
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 |
adaptive trajectory refinement for optimization-based local | planning | obstacle avoidance | adaptive trajectory refinement for optimization-based local planning in narrow passages |
here we present an analytically-tractable model of visual rivalry that quantitatively explains the hysteretic transition between periods of | awareness | visual rivalry | here we present an analytically-tractable model of visual rivalry that quantitatively explains the hysteretic transition between periods of awareness and suppression in tcfs |
the performance of artificial intelligence ai | systems | trustworthy ai | the performance of artificial intelligence ai systems fundamentally depends on high-quality training data |
we also provide new data-driven control design methods in terms of | linear | linear control | we also provide new data-driven control design methods in terms of linear matrix inequalities that complement the conditions for informativity |
finally we use the connection to instanton rate | theory | instanton theory | finally we use the connection to instanton rate theory which is also derived from flux correlation functions to discuss the often misunderstood relationship between tunneling splittings and reaction rate constants |
furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when | preference | preference optimization | furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when preference data is held constant |
these results highlight the significant room for improving the mathematical | reasoning | large language models llms | these results highlight the significant room for improving the mathematical reasoning in current llms |
recent progress in large language models has made them increasingly capable research | assistants | large language | recent progress in large language models has made them increasingly capable research assistants in mathematics |
to overcome these challenges we then develop a generic synthesis framework based on the flow of neural dynamics drift enabling explicit piecewise constant and | constant-in-time | dynamical systems | to overcome these challenges we then develop a generic synthesis framework based on the flow of neural dynamics drift enabling explicit piecewise constant and constant-in-time inputs |
our result nearly matches the o log 2 n approximation | guarantee | online algorithm | our result nearly matches the o log 2 n approximation guarantee of the quasi-polynomial-time algorithm by li xu and zhang icalp 2025 |
greenberger-horne-zeilinger ghz states play a central role in quantum | computing | quantum dot | greenberger-horne-zeilinger ghz states play a central role in quantum computing and communication protocols as a typical multipartite entanglement resource |
the estimation method linear smoothers maximum likelihood generalized method of | moments | existing methods | the estimation method linear smoothers maximum likelihood generalized method of moments etc |
we demonstrate both the generation and detection of an ultra-high flux of polarization bell | states | quantum emitters | we demonstrate both the generation and detection of an ultra-high flux of polarization bell states using broadband hyper-entangled bi-photons that are quantum-correlated in both polarization and time-energy |
this article aims to deliver a comprehensive and up-to-date review of recent developments on sequential stopping rules intentionally emphasizing standard and moderately generalized monte carlo methods which have historically served and likely will continue to serve as fundamental bases for both theoretical and practica... | stopping | stopping rules | this article aims to deliver a comprehensive and up-to-date review of recent developments on sequential stopping rules intentionally emphasizing standard and moderately generalized monte carlo methods which have historically served and likely will continue to serve as fundamental bases for both theoretical and practica... |
we partially answer this by showing that for every d otimes d | entangled | multipartite entanglement | we partially answer this by showing that for every d otimes d entangled state with even d there exist three projective measurements which are antidiscriminable but not discriminable with that input state but those three measurements are not antidiscriminable with the product probe |
our algorithm is given in an extended form that supports | approximate | -approximation algorithm | our algorithm is given in an extended form that supports approximate preservation it minimizes a finite fuzzy interpretation mathcal i while preserving fuzzy concept assertions up to a degree gamma in 0 1 |
this survey bridges that gap by delivering a forward-looking analysis of object detection in avs emphasizing emerging paradigms such as | vision-language | vision-language models vlms | this survey bridges that gap by delivering a forward-looking analysis of object detection in avs emphasizing emerging paradigms such as vision-language models vlms large language models llms and generative ai rather than re-examining outdated techniques |
the rotation speed of the spiral pattern in the milky | way | dwarf galaxies | the rotation speed of the spiral pattern in the milky way galaxy |
we introduce the environment configuration diagnosis benchmark enconda-bench which provides process-level trajectory assessment of fine-grained agent capabilities during environment setup-planning perception-driven error diagnosis feedback-driven repair and action to execute final | environment | environment configuration | we introduce the environment configuration diagnosis benchmark enconda-bench which provides process-level trajectory assessment of fine-grained agent capabilities during environment setup-planning perception-driven error diagnosis feedback-driven repair and action to execute final environment configuration |
approximately 80 of the emission of a region | originates | vi emission | approximately 80 of the emission of a region originates from the halo component |
reinforcement learning rl offers a data-driven approach to derive control | policies | control strategy | reinforcement learning rl offers a data-driven approach to derive control policies for such challenges |
at low weber numbers only partial rebound was observed while at | intermediate | weber numbers | at low weber numbers only partial rebound was observed while at intermediate values droplets rebounded completely |
based on this reformulation we propose a single-loop first-order algorithm for linearly constrained bilevel | optimization | optimization problem | based on this reformulation we propose a single-loop first-order algorithm for linearly constrained bilevel optimization sflcb |
to further enhance performance an adaptive active ris configuration strategy is employed which refines the | beam | beam pattern | to further enhance performance an adaptive active ris configuration strategy is employed which refines the beam direction based on an initial user location estimate |
compared with the local gaussian correlation network among positive tails and the conventional pearson correlation network the properties of the local gaussian | correlation | correlation network | compared with the local gaussian correlation network among positive tails and the conventional pearson correlation network the properties of the local gaussian correlation network among negative tails are more sensitive to the stock market risks |
allowing the order of quantum operations to exist in superposition is known to | open | quantum advantage | allowing the order of quantum operations to exist in superposition is known to open new routes for thermodynamic tasks |
to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of robots developed by the author and his team at the autonomous microrobotic | systems | robotic systems | to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of robots developed by the author and his team at the autonomous microrobotic systems laboratory amsl |
in ate estimation the balancing weights and the regression functions of the outcome play important roles where the | balancing | covariate balancing | in ate estimation the balancing weights and the regression functions of the outcome play important roles where the balancing weights are referred to as the riesz representer bias-correction term and clever covariates depending on the context |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.