Study shows large language models impact AI conference peer reviews, especially in linguistic complexity and evaluative focus.

Wenqing Wu, Chengzhi Zhang, Yi Zhao et al.

Diagnosable ColBERT enhances ColBERT model diagnostics by aligning token embeddings to a clinically-grounded reference latent space.

François Remy

LoopCTR enhances CTR prediction through loop scaling, significantly reducing computational costs.

Jiakai Tang, Runfeng Zhang, Weiqiu Wang et al.

LiveVLN breaks the stop-and-go loop in vision-language navigation, reducing waiting time by up to 77.7%.

Xiangchen Wang, Weiye Zhu, Teng Wang et al.

Proposes a heterogeneity-aware personalized federated learning model to enhance failure time prediction accuracy in industrial predictive analytics.

Yuhan Hu, Xiaolei Fang

CAST framework models semantic-level transitions, achieving 17.6% Recall and 16.0% NDCG gains with 65x training acceleration.

Qian Zhang, Lech Szymanski, Haibo Zhang et al.

MARS model achieves 21x training speedup and significant performance improvement through parallelization and subtractive skip connections.

Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio et al.

Large language models exhibit normative conformity, revealing underlying mechanisms.

Mikako Bito, Keita Nishimoto, Kimitaka Asatani et al.

CS3 framework enhances two-tower recommendation systems with Cycle-Adaptive Structure, Cross-Tower Synchronization, and Cascade-Model Sharing, achieving an 8.36% revenue increase.

Lixiang Wang, Shaoyun Shi, Peng Wang et al.

FOCAL fuses coverage and anchoring attention to improve multi-label heterogeneous graph prediction, outperforming SOTA.

Chenghao Zhang, Qingqing Long, Ludi Wang et al.

Fast estimation of Gaussian mixture components via centering and singular value thresholding without iteration.

Huan Qing

S2MAM uses bilevel optimization for robust estimation and variable selection, validated on 16 datasets.

Xuelin Zhang, Hong Chen, Yingjie Wang et al.

Introduces Denoising Recursion Models (DRM), combining multi-step denoising with recursive inference, outperforming TRM on ARC-AGI with 8% accuracy gain.

Chris Cameron, Wangzheng Wang, Nikita Ivanov et al.

MathNet provides a global multimodal benchmark for mathematical reasoning and retrieval, covering 30,676 Olympiad-level problems from 47 countries.

Shaden Alshammari, Kevin Wen, Abrar Zainal et al.

MUA method achieves up to 2000X lower computational cost using Wavelet-guided Multi-level Spatial Factorized Blendshapes.

Heming Zhu, Guoxing Sun, Marc Habermann

Sessa enhances long-range memory by embedding selective attention in feedback paths.

Liubomyr Horbatko

Introduced Bounded Ratio Reinforcement Learning (BRRL) framework, outperforming PPO in environments like MuJoCo.

Yunke Ao, Le Chen, Bruce D. Lee et al.

BLF system achieves state-of-the-art binary forecasting performance on ForecastBench using sequential Bayesian updating of linguistic beliefs.

Kevin Murphy

Apollo model integrates 28 medical modalities and 12 specialties to predict disease risk up to 5 years in advance.

Andrew Zhang, Tong Ding, Sophia J. Wagner et al.

Revisiting active sequential prediction-powered mean estimation reveals smallest confidence width when constant probability weight is near one.

Maria-Eleni Sfyraki, Jun-Kun Wang