“NL suggests a philosophy to design more expressive learning algorithms with more levels, resulting in higher-order in-context learning and potentially unlocking effective continual learning capabilities.”

“The exttt{Mgformer}-based module is superior in performance and flexibility. Its representative recall and precision values are 0.79 and 0.76, respectively, and can be modified by adjusting the threshold.”

“The number and basic structure of lower-limb synergies during running are relatively stable, whereas spatial muscle weightings and motor primitives are highly plastic and sensitive to task demands, fatigue, and pathology.”

“Youtu-LLM sets a new state-of-the-art for sub-2B LLMs...demonstrating that lightweight models can possess strong intrinsic agentic capabilities.”

“The paper highlights that the targeted Reasoning RL and Agentic RL stages yield significant gains in their respective capabilities.”

“The paper highlights the development of a new surface segmentation algorithm that incorporates human input and the use of continuous visual feedback to refine the robot's learned model.”

“LogosQ leverages Rust static analysis to eliminate entire classes of runtime errors, particularly in parameter-shift rule gradient computations for variational algorithms.”

“Standard RM accuracy fails catastrophically as a selection criterion for deployment-ready personalized alignment.”

“We demonstrate that this overhead can be eliminated entirely.”

“The paper highlights the integration of machine learning, digital twins, and large language models to enable intelligent battery management systems.”

“The paper argues that accurately describing plasmonic effects requires a three-dimensional theoretical approach and that the screened Coulomb interaction is important in the spin-fluctuation mechanism to realize high-Tc superconductivity.”

“By concentrating adversarial perturbations on these positions, we achieve semantic degradation comparable to global methods while using substantially smaller budgets. More importantly, across multiple representative VLMs, such selective attacks convert 35-49% of benign outputs into harmful ones, exposing a more critical safety risk.”

“The paper highlights the use of spectro-temporal multiplexing capability of quantum memory to enable high-rate entanglement generation.”

“The PHIBP's architecture, grounded in the concept of absolute abundance, systematically borrows statistical strength from related regions and circumvents the known sensitivities of relative-rate methods to zero counts.”

“Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real data.”

“The integration of embodied agents into human environments demands embodied social intelligence: reasoning over both social norms and physical constraints.”

“KAN-AFT effectively models complex nonlinear relationships within the AFT framework.”

“Our goal is to apply clustering over each class individually, which can allow to discover pseudo-labels that encodes a latent degree of similarity between images.”

“The paper focuses on adversarial attacks against RF-based drone detectors.”

“The study focuses on predictive applications within Intensive Care Units.”

“The research uses multimodal LLMs to construct historical datasets.”

“The paper highlights a disparity between generation strengths and retrieval weaknesses within multimodal LLMs.”

“The paper introduces the concept of Abrupt Refusal Secondary Harm (ARSH) and Compassionate Completion Standard (CCS).”

“The research focuses on tree-level forest monitoring at a country-scale.”

“The paper focuses on bias and discrimination in memory-enhanced AI agents.”

“The paper originates from ArXiv, indicating peer-review is pending or was bypassed for rapid dissemination.”

“The paper focuses on the reliability of uncertainty estimates with Monte Carlo Dropout.”

“The paper focuses on counterfactual explanations for time series.”

“A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis”

“Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events.”

“The article likely discusses visual faithfulness within the context of 'slow thinking' in AI.”

“The context indicates the paper explores limitations within physics-informed machine learning.”

“The research focuses on membership inference and dataset inference attacks.”

“The article's context indicates the use of a Knowledge-Guided Large Language Model for pediatric dental record analysis.”

“The paper likely discusses limitations of single-agent scaling in achieving complex multi-agent tasks.”

“The paper focuses on monocular depth estimation, using only a single camera to estimate the depth of a scene.”

“The paper leverages Youden's J statistic for a more nuanced evaluation of LLM judges.”

“The research focuses on utilizing multilingual corpora.”

“The paper likely focuses on how filtering techniques influence the outputs of LLMs, affecting their reasoning.”

“The paper leverages LLMs for a systematic analysis of errors.”

“The paper focuses on understanding 3D structures for casual dynamic videos.”

“The paper focuses on perception failure of LVLMs.”

“Structured prompting improves the evaluation of language models.”

“The paper focuses on 'Adversarial Confusion Attack' on multimodal LLMs.”

“Targeted bias reduction can exacerbate unmitigated LLM biases.”

“The paper focuses on steganographic backdoor attacks.”

“The paper calls for a change in how deep RL performance is reported on benchmarks when using only a few runs.”