Split (3)

train · 9.78k rows

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.

prompt stringlengths 41 511	target stringlengths 1 25	keyword stringclasses 697 values	full_sentence stringlengths 48 1.25k
it is well known that spontaneous emission	depends	spontaneous emission	it is well known that spontaneous emission depends on the radiative local density of states rldos
this study bridges the gap between the two approaches by showing that both are based on essentially the same	optimization	bilevel optimization	this study bridges the gap between the two approaches by showing that both are based on essentially the same optimization problem
we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for	data-driven	data-driven stabilization	we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for data-driven stabilization
slideagent hierarchical agentic framework for multi-page	visual	language agents	slideagent hierarchical agentic framework for multi-page visual document understanding
let v be a finite set of n elements f 2 v rightarrow mathbb r _ be a nonnegative	monotone	monotone submodular	let v be a finite set of n elements f 2 v rightarrow mathbb r _ be a nonnegative monotone supermodular function and k be a positive integer no greater than n
reality distortion room rdr is a proof-of-concept augmented	reality	augmented reality	reality distortion room rdr is a proof-of-concept augmented reality system using projection mapping and unencumbered interaction with the microsoft roomalive system to study a user s locomotive response to visual effects that seemingly transform the physical room the user is in
we consider structured data composed of label-dependent signals of varying difficulty and label-independent noise and analyze	gradient	gradient descent	we consider structured data composed of label-dependent signals of varying difficulty and label-independent noise and analyze gradient descent dynamics when the strong model is trained on data labeled by the pretrained weak model
moreover we show that a poly-logarithmic approximation ratio and hence an approximation ratio below the adaptivity gap can be achieved by a	randomized	randomized algorithm	moreover we show that a poly-logarithmic approximation ratio and hence an approximation ratio below the adaptivity gap can be achieved by a randomized algorithm with quasi-polynomial running time
1 textbf subproblem decomposition breaking down long-range tasks to assign process rewards thereby providing denser	learning	reasoning tasks	1 textbf subproblem decomposition breaking down long-range tasks to assign process rewards thereby providing denser learning signals
when a high level decision making agent generates a collision free path a robust low	level	trajectory tracking	when a high level decision making agent generates a collision free path a robust low level controller is required to precisely follow this trajectory
we use a structure serialization scheme to represent	structured	layout generation	we use a structure serialization scheme to represent structured layouts as sequences
these represent functional changes inside and outside the	support	synthetic data	these represent functional changes inside and outside the support of training data
we compare models that use only macro-level incidence models that add	mobility	traffic dynamics	we compare models that use only macro-level incidence models that add mobility network features and their interactions with macro incidence and autoregressive ar models that include town-level recent cases
the approach is evaluated across different network models	network	disease transmission	the approach is evaluated across different network models network sizes and fraction of observed infections
we find that the gaussian beams gouy phase not only plays a crucial role in the interaction but also enables straight-forward generation of valuable free-electron states including comb-shape spectra with similar amplitudes and	states	light-matter interactions	we find that the gaussian beams gouy phase not only plays a crucial role in the interaction but also enables straight-forward generation of valuable free-electron states including comb-shape spectra with similar amplitudes and states with high degree of coherence
extracting tabular data localizing visualization elements and recognizing various	attributes	feature extraction	extracting tabular data localizing visualization elements and recognizing various attributes from charts of diverse types and complexities
our approach delivers accurate and scalable demand forecasts providing valuable insights for energy system planners and policymakers as they navigate the challenges of the global	energy	electricity demand	our approach delivers accurate and scalable demand forecasts providing valuable insights for energy system planners and policymakers as they navigate the challenges of the global energy transition
we evaluate infoflow on multiple agentic search benchmarks where it significantly outperforms strong baselines enabling lightweight	llms	llm agents	we evaluate infoflow on multiple agentic search benchmarks where it significantly outperforms strong baselines enabling lightweight llms to achieve performance comparable to advanced proprietary llms
the estimator augments a regularized regression plug-in with weights computed from a convex optimization problem that approximately balances link-derivative-weighted covariates and controls variance it does not rely on estimated	propensity	propensity score	the estimator augments a regularized regression plug-in with weights computed from a convex optimization problem that approximately balances link-derivative-weighted covariates and controls variance it does not rely on estimated propensity scores
there has been a surge of recent interest in automatically	learning	policy optimization	there has been a surge of recent interest in automatically learning policies to target treatment decisions based on rich individual covariates
we analyze how the ground state entanglement between the spins	depends	ground state	we analyze how the ground state entanglement between the spins depends on the external fields
results demonstrate that icpo consistently enhances	reinforcement	reinforcement learning	results demonstrate that icpo consistently enhances reinforcement learning performance and training stability on mathematical reasoning benchmarks revealing a scalable and effective rlvr paradigm for lrms
under the potential outcomes framework recent research has studied time-series	experiments	randomized experiments	under the potential outcomes framework recent research has studied time-series experiments from the design-based perspective relying solely on the randomness in the design to drive the statistical inference
in this paper we introduce an evaluation model to assess the value of	travel	human mobility	in this paper we introduce an evaluation model to assess the value of travel information under different scenarios
to enhance the interaction between the global and local encoders a symmetric cross-attention module is proposed across all	layers	dual encoder	to enhance the interaction between the global and local encoders a symmetric cross-attention module is proposed across all layers of the encoders to fuse and refine features
consider the setting in which a researcher is interested in the	causal	causal effects	consider the setting in which a researcher is interested in the causal effect of a treatment z on a duration time t which is subject to right censoring
individual minima-informed multi-objective model predictive	control	predictive control	individual minima-informed multi-objective model predictive control for fixed point stabilization
we prove certain monotonicity properties of the optimal	policy	markov decision	we prove certain monotonicity properties of the optimal policy in the state space mathcal s and identify classes of unreachable states
finally we present mbench a hierarchical benchmark designed for fine-grained evaluation across	motion	optical flow	finally we present mbench a hierarchical benchmark designed for fine-grained evaluation across motion quality prompt fidelity and generalization ability
in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance	photonic	quantum dot	in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance photonic devices
traditional graph_theoretic metrics such as betweenness and	degree	complex networks	traditional graph_theoretic metrics such as betweenness and degree centrality offer insights into local network structure but often fail to capture global structural distortions resulting from link failures
we introduce the online two-stage submodular maximization o2ssm problem in which the	submodular	monotone submodular	we introduce the online two-stage submodular maximization o2ssm problem in which the submodular objectives are revealed in an online fashion
time division duplexing tdd has become the dominant duplexing mode in 5g and beyond due to its ability to exploit channel reciprocity for efficient downlink	channel	channel state information	time division duplexing tdd has become the dominant duplexing mode in 5g and beyond due to its ability to exploit channel reciprocity for efficient downlink channel state information csi acquisition
our results suggest that multi-agent debate when coupled with physics-grounded feedback is a promising new paradigm for automated	robot	multi-robot collaboration	our results suggest that multi-agent debate when coupled with physics-grounded feedback is a promising new paradigm for automated robot design
adaptive channel estimation and quantized feedback for ris assisted optical	wireless	wireless systems	adaptive channel estimation and quantized feedback for ris assisted optical wireless communication systems
to address these limitations we introduce roboos-next a unified memory-based framework for lifelong scalable and robust	multi-robot	mobile robots	to address these limitations we introduce roboos-next a unified memory-based framework for lifelong scalable and robust multi-robot collaboration
we demonstrate a fully integrable and reconfigurable platform for controlling	quantum	quantum technologies	we demonstrate a fully integrable and reconfigurable platform for controlling quantum emission by harnessing chiral bound states in the continuum bics as a higher-order non-hermitian singularity
to further enhance performance an adaptive active	ris	active ris	to further enhance performance an adaptive active ris configuration strategy is employed which refines the beam direction based on an initial user location estimate
a unified theory for causal inference direct debiased	machine	riesz regression	a unified theory for causal inference direct debiased machine learning via bregman-riesz regression
beyond one-way influence bidirectional opinion dynamics in	multi-turn	llm responses	beyond one-way influence bidirectional opinion dynamics in multi-turn human-llm interactions