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in this work we introduce a dynamic environment feedback mechanism into the stochastic nonlinear pgg framework establishing a coevolutionary model that couples | environmental | ecological interactions | in this work we introduce a dynamic environment feedback mechanism into the stochastic nonlinear pgg framework establishing a coevolutionary model that couples environmental states and individual cooperative strategies |
finally we derive electronic structure descriptions from a series of representative chemical models and compute the energetics from quantum experiments on quantinuum s h-series | ion | trapped ions | finally we derive electronic structure descriptions from a series of representative chemical models and compute the energetics from quantum experiments on quantinuum s h-series ion trap devices using up to 19 qubits |
randomization of weighted networks has traditionally been done via the | weighted | scale-free networks | randomization of weighted networks has traditionally been done via the weighted configuration model wcm a simple extension of the configuration model where weights are interpreted as bundles of edges |
specifically we focus on downlink dl bistatic sensing where the user equipment ue performs measurements from reflected | sensing | communication systems | specifically we focus on downlink dl bistatic sensing where the user equipment ue performs measurements from reflected sensing signals and provides feedback to the network nw |
we provide theoretical results for the estimation and inference of a class of welfare and value functionals of the nonparametric conditional | average | average treatment | we provide theoretical results for the estimation and inference of a class of welfare and value functionals of the nonparametric conditional average treatment effect cate function under optimal treatment assignment i |
we show that 1 this isolated reasoning embedding exhibits unique predictive power accounting for variance in neural activity not explained by other linguistic features and even extending to the recruitment of visual | regions | human cognition | we show that 1 this isolated reasoning embedding exhibits unique predictive power accounting for variance in neural activity not explained by other linguistic features and even extending to the recruitment of visual regions beyond classical language areas |
evontree ontology rule-guided self-evolution of large | language | natural language | evontree ontology rule-guided self-evolution of large language models |
to reduce such bias debiased machine learning employs | neyman | debiased machine | to reduce such bias debiased machine learning employs neyman orthogonal estimating equations |
beyond reasoning benchmarks srl generalizes effectively to agentic | software | software engineering | beyond reasoning benchmarks srl generalizes effectively to agentic software engineering tasks establishing it as a robust and versatile training framework for reasoning-oriented llms |
in this work we investigate the ashkin--teller at model on random | scale-free | scale-free networks | in this work we investigate the ashkin--teller at model on random scale-free networks using mean-field theory which extends the traditional ising framework by coupling two spin systems via both pairwise and four-spin interactions |
a novel two-stage optimization approach mitigates numerical issues arising from the structure of the resulting optimal | control | optimal control | a novel two-stage optimization approach mitigates numerical issues arising from the structure of the resulting optimal control problem |
the interaction between optical interference fringes and the vacuum electromagnetic field inside the phc | cavity | optical interference | the interaction between optical interference fringes and the vacuum electromagnetic field inside the phc cavity improves the linewidth and noise characteristics of lasers |
this study of the m81 complex and its hubble flow delivers new and improved tip of the red giant branch trgb -based distances for nine member galaxies yielding a total of 58 galaxies with high-precision | trgb | galaxy cgm | this study of the m81 complex and its hubble flow delivers new and improved tip of the red giant branch trgb -based distances for nine member galaxies yielding a total of 58 galaxies with high-precision trgb distances |
compared to traditional road testing scenario-based virtual | testing | scenario coverage | compared to traditional road testing scenario-based virtual testing offers significant advantages in terms of time and cost efficiency reproducibility and exploration of edge cases |
many domains of human intellectual labour have to adapt to the new ai tools that give | humans | ai assistance | many domains of human intellectual labour have to adapt to the new ai tools that give humans new functionality and opportunity but also question the viability and necessity of some human work that used to be considered intellectual yet has now become an easily automatable commodity |
we deliver a tutorial on rl covering fundamental concepts and key algorithmic families including value-based policy-based and | actor-critic | deep reinforcement learning | we deliver a tutorial on rl covering fundamental concepts and key algorithmic families including value-based policy-based and actor-critic methods |
during massive star formation dense gas undergoes | chemical | star-forming region | during massive star formation dense gas undergoes chemical evolution producing both simple and complex organic molecules coms characteristic of hot molecular cores |
a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic | obstacles | collision avoidance | a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic obstacles while also preventing inter-agent collisions in a socially aware manner and reaching the target within a prescribed time |
angular steering behavior control via rotation in | activation | angular steering | angular steering behavior control via rotation in activation space |
west nile virus wnv is a mosquito-borne virus of the genus flaviviridae circulating between mosquitoes and birds while | humans | infectious individuals | west nile virus wnv is a mosquito-borne virus of the genus flaviviridae circulating between mosquitoes and birds while humans equids and other mammals are dead-end hosts |
by linking behavioral attributes with environmental context | mobilitygen | mobility networks | by linking behavioral attributes with environmental context mobilitygen reproduces key patterns such as scaling laws for location visits activity time allocation and the coupled evolution of travel mode and destination choices |
we then train a transformer-based planner on a dataset of skill compositions to | act | predictive processing | we then train a transformer-based planner on a dataset of skill compositions to act as a high-level scheduler simultaneously predicting the discrete schedule of skills as well as their continuous parameters |
we observe that the ability to recall an object physical or virtual that was encountered in a mobile | ar | augmented reality | we observe that the ability to recall an object physical or virtual that was encountered in a mobile ar experience depends on many possible impact factors and attributes with some objects being readily recalled while others are not and some people recalling objects overall much better or worse than others |
the optimization problem aims to maximize the communication sum-rate which is critical for ensuring high-quality service to users while also maintaining accurate sensing performance for detection tasks and adhering to maximum power constraints for efficient | resource | resource allocation | the optimization problem aims to maximize the communication sum-rate which is critical for ensuring high-quality service to users while also maintaining accurate sensing performance for detection tasks and adhering to maximum power constraints for efficient resource usage |
deep neural networks dnns have been used to model complex | optimization | deep learning | deep neural networks dnns have been used to model complex optimization problems in many applications yet have difficulty guaranteeing solution optimality and feasibility despite training on large datasets |
among possible strategies to meet this challenge is exploiting the twist degree of freedom in layered structures which enables both emerging moire physics and unprecedented reconfigurability of | photonic | integrated photonics | among possible strategies to meet this challenge is exploiting the twist degree of freedom in layered structures which enables both emerging moire physics and unprecedented reconfigurability of photonic and electronic properties |
this paper studies group target trajectory intent as the outcome of a | cooperative | cooperative game | this paper studies group target trajectory intent as the outcome of a cooperative game where the complex-spatio trajectories are modeled using an nlp-based generative model |
we conduct comprehensive experiments with llama 2-7b llama 2-13b and mistral 7b models on mathematical | reasoning | reasoning capabilities | we conduct comprehensive experiments with llama 2-7b llama 2-13b and mistral 7b models on mathematical reasoning coding and summarization tasks |
next-generation interferometry with gauge-invariant | linear | optical interference | next-generation interferometry with gauge-invariant linear optical scatterers |
enhancing the spatial awareness of underwater | vehicles | autonomous driving | enhancing the spatial awareness of underwater vehicles is key to reducing piloting risks and enabling greater autonomy |
neyman targeted estimation also yields tmle as a | special | maximum likelihood | neyman targeted estimation also yields tmle as a special case for regression function estimation |
as such while small-scale societies may be demographically fragile large-scale | societies | population size | as such while small-scale societies may be demographically fragile large-scale societies should be much more stable |
through regret analysis we demonstrate that difference-in-differences and synthetic control with differencing are complementary the former dominates the latter if and only if the latter s extrapolation error exceeds the former | s | policy optimization | through regret analysis we demonstrate that difference-in-differences and synthetic control with differencing are complementary the former dominates the latter if and only if the latter s extrapolation error exceeds the former s matching error up to a term vanishing at the parametric rate |
first an equivalence between klyachko-can-binicio u g lu-shumovsky kcbs vectors and the pyramid upb is shown and then by constructing a one parameter family of upb vectors a quantitative connection between contextuality strength and bound entanglement of | states | quantum channels | first an equivalence between klyachko-can-binicio u g lu-shumovsky kcbs vectors and the pyramid upb is shown and then by constructing a one parameter family of upb vectors a quantitative connection between contextuality strength and bound entanglement of states associated with the corresponding upb is demonstrated |
for some example applications distributed support-vector-machine svm and regression are | considered | machine learning | for some example applications distributed support-vector-machine svm and regression are considered as the ml training models |
omnix from unified panoramic generation and | perception | computer vision | omnix from unified panoramic generation and perception to graphics-ready 3d scenes |
we show that for every learning algorithm there exists an auxiliary | algorithm | debiased machine learning | we show that for every learning algorithm there exists an auxiliary algorithm that does not memorize and which yields comparable generalization error for any data distribution |
we deliver a tutorial on rl covering fundamental concepts and key algorithmic families including value-based policy-based and | actor-critic | reinforcement learning | we deliver a tutorial on rl covering fundamental concepts and key algorithmic families including value-based policy-based and actor-critic methods |
this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased | machine | machine learning | this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased machine learning |
the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling | nonlinear | neural codes | the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling nonlinear mappings between high-dimensional deep network features and semantic patterns encoded in the brain activity |
experiments on real-world datasets support our theoretical findings and | demonstrate | real-world datasets | experiments on real-world datasets support our theoretical findings and demonstrate the practical advantages of our approach |
in the scope of this work we assume a narrowband and static scenario aiming to focus on the beamforming and | power | power allocation | in the scope of this work we assume a narrowband and static scenario aiming to focus on the beamforming and power allocation strategies |
this paper explores how we can leverage ai to | improve | human-ai interaction | this paper explores how we can leverage ai to improve the quality of human oversight |
in particular we recover the convergence rate of optimally tuned versions of these | algorithms | convergence rate | in particular we recover the convergence rate of optimally tuned versions of these algorithms up to logarithmic factors in both nonsmooth and smooth settings |
while generative models especially large language models llms are ubiquitous in today s world principled mechanisms to assess their in | correctness | generative models | while generative models especially large language models llms are ubiquitous in today s world principled mechanisms to assess their in correctness are limited |
moreover we show how this technique can also be used in the | context | approximation guarantee | moreover we show how this technique can also be used in the context of the weighted ring loading problem showing that cost-unaware approximation algorithms can be transformed into approximation algorithms with additional cost guarantees |
guided by a bottom-up taxonomy that connects insight types with suitable mining and visualization techniques sia enables | agents | ai agents | guided by a bottom-up taxonomy that connects insight types with suitable mining and visualization techniques sia enables agents to plan and execute coherent analysis strategies |
most classical visual navigation methods are restricted to single-goal single-modality and closed set | goal | visual navigation | most classical visual navigation methods are restricted to single-goal single-modality and closed set goal settings |
existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large | language | large language models llms | existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large language models llms |
we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born | stars | bulge stars | we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born stars and accreted |
the rapid advancement of large language models | llms | large language | the rapid advancement of large language models llms has marked a significant breakthrough in artificial intelligence ai ushering in a new era of human-centered artificial intelligence hai |
in this work we investigate the temporal evolution of | key | massive galaxies | in this work we investigate the temporal evolution of key indicators of dynamical relaxation with particular emphasis on the secular growth of the diffuse intragroup light igl the four major group galaxies and the mass distributions of their progenitors |
additionally we introduce securebleu a new evaluation metric designed to assess the effectiveness of | review | security issues | additionally we introduce securebleu a new evaluation metric designed to assess the effectiveness of review comments in addressing security issues |
previous algorithms with hat o m work required omega m depth even for special cases of mincost flow with only edge capacities or max | flow | maximum flow | previous algorithms with hat o m work required omega m depth even for special cases of mincost flow with only edge capacities or max flow with vertex capacities |
we present a statistical framework that establishes an accelerating star formation scenario for | dense | massive stars | we present a statistical framework that establishes an accelerating star formation scenario for dense clumps using atlasgal and almagal samples |
experiments on real-world datasets support our | theoretical | theoretical findings | experiments on real-world datasets support our theoretical findings and demonstrate the practical advantages of our approach |
enhancing the reachability of variational quantum | algorithms | quantum key distribution | enhancing the reachability of variational quantum algorithms via input-state design |
we also provide a proof-of-concept case study of further adapting dms for better | wireless | wireless systems | we also provide a proof-of-concept case study of further adapting dms for better wireless receiver performance |
the samples are acquired through sweeping multiple beams of an | isac | communication isac | the samples are acquired through sweeping multiple beams of an isac proof of concept poc in the industrial scenario of the arena2036 |
our results demonstrate that acer offers a scalable and | effective | models llms | our results demonstrate that acer offers a scalable and effective recipe for closing critical domain gaps in llms |
large language models llms have demonstrated exceptional capabilities across multiple | domains | large language | large language models llms have demonstrated exceptional capabilities across multiple domains by leveraging massive pre-training and curated fine-tuning data |
when two-dimensional atomic layers of different materials are brought into close proximity to form van | der | van der waals | when two-dimensional atomic layers of different materials are brought into close proximity to form van der waals vdw heterostructures interactions between adjacent layers significantly influence their physicochemical properties |
our approach makes it possible to relate the formulation of | parallel | parallel trends | our approach makes it possible to relate the formulation of parallel trends violation to empirical evidence from 1 pre-testing 2 covariate benchmarking and 3 standard reporting statistics and visualizations |
user perceptions of privacy and helpfulness in | llm | llm responses | user perceptions of privacy and helpfulness in llm responses to privacy-sensitive scenarios |
the discriminator is trained using a combination of real-world data and simulation | data | autonomous driving | the discriminator is trained using a combination of real-world data and simulation data executed by the agent which is designed to train a policy that generates realistic motion trajectories that match the statistical properties of human motion |
5 cdot mathrm polylog frac w delta time algorithm for solving the generalized maximum flow and generalized minimum cost | flow | maximum flow | 5 cdot mathrm polylog frac w delta time algorithm for solving the generalized maximum flow and generalized minimum cost flow problems in this setting where delta is the target accuracy and w is the maximum of all costs capacities and loss factors and their inverses |
therefore this paper proposes retrieval augmented generation rag -enhanced distributed | llm | llm agents | therefore this paper proposes retrieval augmented generation rag -enhanced distributed llm agents with emergency response for generalizable tsc reg-tsc |
to solve this high-dimensional non-convex problem under uncertain channels we develop a deep | reinforcement | deep reinforcement | to solve this high-dimensional non-convex problem under uncertain channels we develop a deep reinforcement learning solution framework based on the proximal policy optimization ppo algorithm that integrates distribution-aware action modeling and a multi-branch actor network |
on multiple robustness of proximal dynamic | treatment | treatment regimes | on multiple robustness of proximal dynamic treatment regimes |
generating networks that more accurately reflect | real-world | mobility networks | generating networks that more accurately reflect real-world patterns is a significant topic within complex network research |
for training purposes we prepared a set of 1 730 annotated | images | image generation | for training purposes we prepared a set of 1 730 annotated images that were captured under various traffic conditions |
to solve this high-dimensional non-convex problem under uncertain channels we develop a deep | reinforcement | deep reinforcement learning | to solve this high-dimensional non-convex problem under uncertain channels we develop a deep reinforcement learning solution framework based on the proximal policy optimization ppo algorithm that integrates distribution-aware action modeling and a multi-branch actor network |
here we implement an efficient quantum simulation algorithm on quantinuum s system model h2 trapped-ion | quantum | quantum technologies | here we implement an efficient quantum simulation algorithm on quantinuum s system model h2 trapped-ion quantum computer for the time dynamics of a 56-qubit system that is too complex for exact classical simulation |
lastly we apply inputdsa to neural data recorded from rats performing a | cognitive | human brain | lastly we apply inputdsa to neural data recorded from rats performing a cognitive task demonstrating that it identifies a transition from input-driven evidence accumulation to intrinsically-driven decision-making |
stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different | galactic | stellar mass | stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different galactic components |
our framework allows for deriving analytically the conditions for favoring a specific behavior in any network | structure | collective systems | our framework allows for deriving analytically the conditions for favoring a specific behavior in any network structure strongly affected by non-social environments frequent exogenous forcing fef which contrasts with previous computationally prohibitive methods |
all you need for object detection from pixels points and prompts to next-gen fusion and | multimodal | computer vision | all you need for object detection from pixels points and prompts to next-gen fusion and multimodal llms vlms in autonomous vehicles |
object binding the brain s ability to bind the many features that collectively represent an | object | visual stimuli | object binding the brain s ability to bind the many features that collectively represent an object into a coherent whole is central to human cognition |
normative reasoning is a type of reasoning that involves | normative | reasoning tasks | normative reasoning is a type of reasoning that involves normative or deontic modality such as obligation and permission |
extreme equivalent width-selected low-mass starbursts at z 4-9 insights into their | role | stellar mass function | extreme equivalent width-selected low-mass starbursts at z 4-9 insights into their role in cosmic reionization |
efficient collision-avoidance constraints for ellipsoidal | obstacles | obstacle avoidance | efficient collision-avoidance constraints for ellipsoidal obstacles in optimal control application to path-following mpc and uavs |
while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning | remains | models llms | while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning remains underexplored |
5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual reasoning | capabilities | reasoning capabilities | 5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual reasoning capabilities outperforming vanilla self-improvement by 3 |
time-resolved atom interferometry as employed in applications such as gravitational wave detection and searches for ultra-light dark matter requires precise | control | atom interferometry | time-resolved atom interferometry as employed in applications such as gravitational wave detection and searches for ultra-light dark matter requires precise control over systematic effects |
with the rapid growth of autonomous vehicle technologies effective path-tracking control has become a critical component in ensuring safety and efficiency in complex | traffic | collision avoidance | with the rapid growth of autonomous vehicle technologies effective path-tracking control has become a critical component in ensuring safety and efficiency in complex traffic scenarios |
we present lean4phys a comprehensive reasoning framework for college-level | physics | mathematical reasoning | we present lean4phys a comprehensive reasoning framework for college-level physics problems in lean4 |
as ai capabilities improve and ai is used to tackle more challenging tasks verifying quality and safety becomes | increasingly | ai use | as ai capabilities improve and ai is used to tackle more challenging tasks verifying quality and safety becomes increasingly challenging |
we construct a spatial graph using k-nearest neighbors to aggregate geometric information from the local layout and encode both object-object and object-manipulator interactions to support accurate | manipulation | manipulation ordering | we construct a spatial graph using k-nearest neighbors to aggregate geometric information from the local layout and encode both object-object and object-manipulator interactions to support accurate manipulation ordering in real-time |
we complement our theoretical results with experiments on various real-world | datasets | real-world datasets | we complement our theoretical results with experiments on various real-world datasets which show that the proposed sketches are lightweight and achieve consistently low error in practice |
this demonstrates that previously established conditions for linear systems to be sample-based observable can be utilized to verify or design sampling strategies that satisfy the conditions to guarantee rges of the | sample-based | state estimation | this demonstrates that previously established conditions for linear systems to be sample-based observable can be utilized to verify or design sampling strategies that satisfy the conditions to guarantee rges of the sample-based mhe |
the evolution of the maximum core mass further shows that the growth timescales of protoclusters and their | embedded | stellar mass function | the evolution of the maximum core mass further shows that the growth timescales of protoclusters and their embedded most massive protostars are comparable implying a self-similar acceleration of star formation from the stellar to the protocluster scale |
in addition practitioners also want confidence that the learned policy has better performance than the incumbent policy according to downstream | policy | policy optimization | in addition practitioners also want confidence that the learned policy has better performance than the incumbent policy according to downstream policy evaluation |
the algorithm runs in o log sum_t n_t log m time and o | m | time complexity | the algorithm runs in o log sum_t n_t log m time and o m space independent of k |
we present a deep reinforcement learning framework based on proximal policy optimization | ppo | deep reinforcement | we present a deep reinforcement learning framework based on proximal policy optimization ppo for autonomous qos-aware load balancing implemented end-to-end in a lightweight pure-python simulation environment |
sensitivity analysis for treatment effects in difference-in-differences models using | riesz | riesz regression | sensitivity analysis for treatment effects in difference-in-differences models using riesz representation |
on average across countries the share of urban residents living in | cities | large cities | on average across countries the share of urban residents living in cities with over one million people rose from 18 in 1975 to 39 in 2025 |
modeling and scheduling of fusion patterns in | autonomous | autonomous driving | modeling and scheduling of fusion patterns in autonomous driving systems extended version |
this completes the theoretical foundation of compressed indexing closing a crucial gap between upper and lower bounds and providing a clear target for future data structures seeking either the optimal time in the smallest space or the fastest time in the optimal | space | query time | this completes the theoretical foundation of compressed indexing closing a crucial gap between upper and lower bounds and providing a clear target for future data structures seeking either the optimal time in the smallest space or the fastest time in the optimal space both of which are now known for central string queries |
explaining the inherent tradeoffs for suffix | array | suffix array | explaining the inherent tradeoffs for suffix array functionality equivalences between string problems and prefix range queries |
finally we present mbench a hierarchical benchmark designed for fine-grained evaluation across | motion | point tracking | finally we present mbench a hierarchical benchmark designed for fine-grained evaluation across motion quality prompt fidelity and generalization ability |
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