“"Mike" is a hologram, powered by ChatGPT and created by a company called Hypervsn.”

“FineTec achieves top-1 accuracies of 89.1% and 78.1% on the challenging Gym99-severe and Gym288-severe settings, respectively, demonstrating its robustness and generalizability.”

“AdaGReS introduces a closed-form, instance-adaptive calibration of the relevance-redundancy trade-off parameter to eliminate manual tuning and adapt to candidate-pool statistics and budget limits.”

“The paper reveals a quantum critical point across which the Kondo effect goes from being destroyed to dominating.”

“MSACL achieves exponential stability and rapid convergence under simple rewards, while exhibiting significant robustness to uncertainties and generalization to unseen trajectories.”

“OFL-SAM2 achieves state-of-the-art performance with limited training data.”

“ArtiSG significantly outperforms baselines in functional element recall and articulation estimation precision.”

“The method first isolates pervasive latent effects by decomposing the observed precision matrix into a structured component and a low-rank component.”

“The proposed HOOA achieves significant improvements, which reduces average task completion delay by 2.5% and average energy consumption by 3.1% compared with the best-performing benchmark approach and state-of-the-art DRL algorithm, respectively.”

“PAM supports a 300-frame history window while maintaining high inference speed (above 20Hz).”

“BC-TAS achieves orders-of-magnitude improvement in outage probability and significant gains in energy efficiency compared to conventional MU-MIMO baselines.”

“HaluNet delivers strong detection performance and favorable computational efficiency, with or without access to context, highlighting its potential for real time hallucination detection in LLM based QA systems.”

“The dispersive shift and vacuum Rabi splitting emerge from the transcendental eigenvalue equation, with the residues determined by matching to the splitting: $δ_{ge} = 2Lg^2ω_q^2/v^4$, where $g$ is the vacuum Rabi coupling.”

“UniAct achieves a 19% improvement in the success rate of zero-shot tracking of imperfect reference motions.”

“SiLRI effectively exploits human suboptimal interventions, reducing the time required to reach a 90% success rate by at least 50% compared with the state-of-the-art RL method HIL-SERL, and achieving a 100% success rate on long-horizon manipulation tasks where other RL methods struggle to succeed.”

“SHIELD maintains an observation-quality occupancy map and performs ray-casting on this map to address the issue of inconsistent point-cloud quality during exploration.”

“MS-SSM enhances memory efficiency and long-range modeling.”

“The VBSF architecture achieves an accuracy of more than 98%.”

“RoboPerform, the first unified audio-to-locomotion framework that can directly generate music-driven dance and speech-driven co-speech gestures from audio.”

“EGDA achieves robust cross-session performance, obtaining accuracies of 81.22%, 80.15%, and 83.27% across three transfer tasks, and surpassing several baseline methods.”

“MATP surpasses prompting-based baselines by over 42 percentage points in reasoning step verification.”

“DIR not only effectively mitigates target inductive biases but also enhances RLHF performance across diverse benchmarks, yielding better generalization abilities.”

“RobustMask successfully certifies over 20% of candidate documents within the top-10 ranking positions against adversarial perturbations affecting up to 30% of their content.”

“MUSIC accurately learns solutions to complex coupled systems under data-scarce and noisy conditions, consistently outperforming non-sparse formulations.”

“EgoReAct achieves remarkably higher realism, spatial consistency, and generation efficiency compared with prior methods, while maintaining strict causality during generation.”

“Keeping the conversation structure visible, allowing branching and merging, and suggesting patterns or ways to combine ideas deepened user reflective engagement.”

“OptiNIC improves time-to-accuracy (TTA) by 2x and increases throughput by 1.6x for training and inference, respectively.”

“Both quantum models produced samples with lower average minimum distances to the true distribution compared to the LSTM, with the QCBM achieving the most favorable metrics.”

“Including climate-related variables improves predictive accuracy across all models, with extremely randomized trees achieving the lowest root mean squared error (RMSE).”

“Raven uncovers six new invariant categories absent from existing invariant catalogs, including feature toggles, replay prevention, proof/signature verification, counters, caller-provided slippage thresholds, and allow/ban/bot lists.”

“SR-MCR improves both answer accuracy and reasoning coherence across a broad set of visual benchmarks; among open-source models of comparable size, SR-MCR-7B achieves state-of-the-art performance with an average accuracy of 81.4%.”

“The paper proposes the Dynamic Boundary Mediation Framework, which reconceptualizes LLM-enhanced systems as adaptive boundary objects that shift mediating roles across therapeutic stages.”

“FUSCO achieves up to 3.84x and 2.01x speedups over NCCL and DeepEP (the state-of-the-art MoE communication library), respectively.”

“GenDF achieves state-of-the-art generalization performance in cross-domain and cross-manipulation settings while requiring only 0.28M trainable parameters.”

“CONTRA improves user throughput and reduces both THO and CHO switching costs, outperforming 3GPP-compliant and Reinforcement Learning (RL) baselines in dynamic and real-world scenarios.”

“The ALEAHallu framework follows an 'Activate-Locate-Edit Adversarially' paradigm, fine-tuning hallucination-prone parameter clusters using adversarial tuned prefixes to maximize visual neglect.”

“MoFu significantly outperforms existing methods in preserving natural scale, subject fidelity, and overall visual quality.”

“The paper's core contribution lies in its TPS-driven Semantic Correlation Learning Network (TPS-SCL) designed specifically for unaligned RGB-T image pairs.”

“DeMe enables the agent to reshuffle the structure of its method path-through pre-decoration, post-decoration, intermediate-step modification, and step insertion-thereby producing context-aware, safety-aligned, and environment-adaptive methods.”

“CATCH integrates three core components: (1) context-aware topic representation, (2) preference-guided topic clustering, and (3) a hierarchical theme generation mechanism.”

“The paper significantly outperforms prior CD-FSMIS approaches across multiple cross-domain benchmarks, achieving state-of-the-art performance while simultaneously preserving strong segmentation accuracy on the source domain.”

“Causal-HM achieves a state-of-the-art (SOTA) I-AUROC of 90.7%.”

“The paper is available on ArXiv.”

“The article is from ArXiv, indicating a pre-print research paper.”

“The paper focuses on LLM-based BDD for hardware design.”

“The research paper is sourced from ArXiv.”

“The article's source is ArXiv, indicating a research paper.”

“Female anatomies disguise ECG abnormalities following myocardial infarction.”

“The research focuses on generating 4D human-object interactions.”

“Weight Space Correlation Analysis quantifies feature utilization.”