“Compared with the kinetic Langevin sampling algorithm, the proposed algorithm exhibits a higher contraction rate in the asymptotic time regime.”

“Experimental results show that our EA4eigCS outperforms EA4eig and is competitive when compared with state-of-the-art algorithms.”

“I am stunned at how intelligent it is for a 30b model.”

“I switched to Codex 5.2 (High Thinking). It fixed all three bugs in one shot.”

“It not only spots rare abnormalities but also recognizes its own uncertainty, making it a powerful support tool for clinicians.”

“Moreover, GLM-4.7 outperforms Claude Sonnet 4.5 on benchmarks.”

“Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient.”

“"My website is DONE in like 10 minutes vs an hour. is it simply trained more on websites due to Google's training data?"”

“Transfer learning with fine-tuning substantially outperforms CNNs trained from scratch for pediatric pneumonia detection, showing near-perfect accuracy.”

“We introduce CogCanvas, a training-free framework that extracts verbatim-grounded cognitive artifacts (decisions, facts, reminders) from conversation turns and organizes them into a temporal-aware graph for compression-resistant retrieval.”

“とはいえ、「これまで人間や従来の機械学習が担っていた泥臭い領域」を全てLLMで代替できるわけではなく、あくまでタスクによっ...”

“"GPT5.2 cannot deliver any useful result, argues back, wastes your time. GEMINI 3 delivers with no drama like a pro."”

“The article doesn't contain direct quotes, but relies on the information presented in the technical report and the Hacker News discussion.”

“Bernie Sanders and Ron DeSantis speak out against data center boom. It’s a bad sign for AI industry.”

“Choice Policy significantly outperforms diffusion policies and standard behavior cloning.”

“The paper presents an online variational inference framework to compute its approximation at each time step.”

“ADOPT explicitly models the dependency between each LLM step and the final task outcome, enabling precise text-gradient estimation analogous to computing analytical derivatives.”

“The paper claims that the proposed 5G-based ISAC HPR system significantly outperforms current mainstream baseline solutions in HPR performance in typical indoor environments.”

“PRISM addresses the challenge through a learnable tree-based partitioning of the signal.”

“BEDA consistently outperforms strong baselines: on CKBG it improves success rate by at least 5.0 points across backbones and by 20.6 points with GPT-4.1-nano; on Mutual Friends it achieves an average improvement of 9.3 points; and on CaSiNo it achieves the optimal deal relative to all baselines.”

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

“The model achieves 12% median relative error using discovered semantic features from multimodal listing data, substantially outperforming a GPT-5 baseline (38% error).”

“LMG achieves competitive or leading performance, including bulk loading (up to 8.25x faster), point queries (up to 1.49x faster), range queries (up to 4.02x faster than B+Tree), update (up to 1.5x faster on read-write workloads), stability (up to 82.59x lower coefficient of variation), and space usage (up to 1.38x smaller).”

“DTI-GP outperforms state-of-the-art solutions, and it allows (1) the construction of a Bayesian accuracy-confidence enrichment score, (2) rejection schemes for improved enrichment, and (3) estimation and search for top-$K$ selections and ranking with high expected utility.”

“HiGR delivers consistent improvements in both offline evaluations and online deployment. Specifically, it outperforms state-of-the-art methods by over 10% in offline recommendation quality with a 5x inference speedup, while further achieving a 1.22% and 1.73% increase in Average Watch Time and Average Video Views in online A/B tests.”

“The paper introduces a learnable feature embedding for segmentation in Gaussian primitives and a novel 'Embedding-to-Label' process.”

“Sensor-only detection outperforms full fusion by 8.3 percentage points (93.08% vs. 84.79% F1-score), challenging the assumption that additional modalities invariably improve performance.”

“EVOL-SAM3 not only substantially outperforms static baselines but also significantly surpasses fully supervised state-of-the-art methods on the challenging ReasonSeg benchmark in a zero-shot setting.”

“The Q-VWSD model outperforms state-of-the-art classical methods, particularly by effectively leveraging non-specialized glosses from large language models, which further enhances performance.”

“BatteryAgent effectively corrects misclassifications on hard boundary samples, achieving an AUROC of 0.986, which significantly outperforms current state-of-the-art methods.”

“HMP-DRL consistently outperforms other methods, including state-of-the-art approaches, in terms of key metrics of robot navigation: success rate, collision rate, and time to reach the goal.”

“MSched outperforms demand paging by up to 11.05x for scientific and deep learning workloads, and 57.88x for LLM under memory oversubscription.”

“The proposed system consistently outperformed flat multi-class classifiers and pre-trained self-supervised models.”

“SynRAG generates significantly better queries for crossSIEM threat detection and incident investigation compared to the state-of-the-art base models.”

“CPR achieves an F1 score of 0.632 under SAP attacks, surpassing Median Smoothing (0.541 F1) by 9.1%.”

“The two-stage approach decomposes spatial reasoning into atomic building blocks and their composition.”

“The paper finds that uncoalesced small-buffer operations significantly reduce throughput, while file system-aware aggregation restores bandwidth and reduces metadata overhead. Their approach achieves up to 3.9x and 7.6x higher write throughput compared to existing LLM checkpointing engines.”

“The paper proposes a model that outperforms two established baselines, DINO-WM and V-JEPA-2-AC, in both navigation and manipulation tasks.”

“USF-MAE achieved the highest performance across all evaluation metrics, with 90.57% accuracy, 91.15% precision, 90.57% recall, and 90.71% F1-score.”

“The proposed methods substantially outperform nuclear-norm-based and non-robust alternatives under heavy-tailed noise and contamination.”

“Alibaba Tongyi Lab have released MAI-UI—a family of foundation GUI agents. It natively integrates MCP tool use, agent user interaction, device–cloud collaboration, and online RL, establishing state-of-the-art results in general GUI grounding and mobile GUI navigation, surpassing Gemini-2.5-Pro, Seed1.8, and UI-Tars-2 on AndroidWorld.”

“The multilingual fine-tuned mT5 baseline outperforms most other approaches including zero-shot LLM performance for most metrics.”

“SeedFold outperforms AlphaFold3 on most protein-related tasks.”

“WM-SAR consistently outperforms existing deep learning and LLM-based methods.”

“itePGDK outperformed these methods in these metrics. Particularly in short duration frames, itePGDK presents less bias and less artifacts in fast kinetics organs uptake compared with DeepKernel.”

“DRL-TH outperforms existing methods in various crowded environments. We also implemented DRL-TH control policy on a real UGV and showed that it performed well in real world scenarios.”

“PGMP framework outperforms state-of-the-art methods on unseen anatomy, setting new benchmarks in efficiency and diagnostic reliability.”

“The proposed method significantly outperforms state-of-the-art (SOTA) methods. Compared to SOTA methods, it improves the position accuracy by 24.7% to 42.9%, and the angular accuracy by 40.9% to 78.4%.”

“BATISNet outperforms existing methods in tooth integrity segmentation, providing more reliable and detailed data support for practical clinical applications.”

“CoHalLo achieves a Top-1 accuracy of 0.4253, Top-3 accuracy of 0.6149, Top-5 accuracy of 0.7356, Top-10 accuracy of 0.8333, IFA of 5.73, Recall@1% Effort of 0.052721, and Effort@20% Recall of 0.155269, which outperforms the baseline methods.”