Research & Innovation

Global: Generative Denoising Model Boosts Physical Consistency in Surrogate SimulationsResearchers have unveiled a new generative framework that learns the geometry of physical solution spaces, aiming to reconcile the long‑standing tension…

Global: New Multi-Kernel Sparse Graph Method Improves Unsupervised Speaker DiarizationResearchers Nikhil Raghav, Avisek Gupta, Swagatam Das, and Md Sahidullah announced a novel unsupervised speaker diarization technique on Jan. 24, 2026,…

Global: Order-Aware Test-Time Adaptation Boosts Model Accuracy on Temporal Data StreamsResearchers have unveiled a new method called Order-Aware Test-Time Adaptation (OATTA) that enables pre‑trained models to improve performance on shifting…

Global: Trainable Sparse Attention Mechanism Increases LLM Decoding SpeedResearchers at Tsinghua University’s Natural Language Processing group have introduced a new sparse attention mechanism, called NOSA, alongside an inference system named…

Global: New Benchmarks Assess Iterative Solver Debugging and Bias in Operations Research LLMsResearchers have unveiled two novel evaluation suites—ORDebug and ORBias—to measure large language models’ (LLMs) capacity for iterative problem‑solving…

Global: LLM-Driven Steganography Optimizes Token Distributions for Secure MessagingResearchers Yu-Shin Huang, Peter Just, Hanyun Yin, Krishna Narayanan, Ruihong Huang, and Chao Tian released a new steganographic technique on January 29,…

Global: New Framework Enables Benchmarking of Autonomous Materials Discovery PipelinesResearchers have introduced a framework called MAterials Discovery Environments (MADE) to benchmark end-to-end autonomous materials discovery pipelines, according to a preprint…

Global: Koopman Spectral Wasserstein Gradient Descent Advances Particle-Based Generative ModelingResearchers Yuanchao Xu, Fengyi Li, Masahiro Fujisawa, Xiaoyuan Cheng, Youssef Marzouk, and Isao Ishikawa introduced a new framework called Koopman Spectral…

Global: Study Finds Wider Transformers Outperform Deeper Counterparts at ScaleOn Jan. 28, 2026, researchers Md Muhtasim Munif Fahim and Md Rezaul Karim released a paper that challenges the conventional emphasis on depth in transformer architectures.…

Global: New Framework Extends Kolmogorov‑Arnold Networks for Permutation‑Equivariant LearningResearchers from an international collaboration have presented Function Sharing Kolmogorov‑Arnold Networks (FS‑KAN), a novel approach that constructs equivariant and invariant neural‑network layers…