Research & Innovation

Global: ParetoHqD Demonstrates Faster Offline Multiobjective Alignment for Large Language ModelsResearchers led by Haoran Gu and colleagues announced a new offline alignment technique for large language models (LLMs) on December…

Global: FPGA-Accelerated Model Recovery Framework Reduces Energy Consumption and Memory Footprint for Edge AIResearchers have introduced a hardware‑efficient model recovery framework designed for resource‑constrained edge devices. The system, named MERINDA…

Global: UnPaSt biclustering algorithm enhances unsupervised patient stratification across omics dataResearchers publishing on arXiv in August 2024 introduced a novel biclustering method called UnPaSt, designed to improve unsupervised patient stratification…

Global: New Subspace Clustering Method Leverages Schubert Variety for Enhanced PurityOn December 29, 2025, researchers Karim Salta, Michael Kirby, and Chris Peterson submitted a paper to arXiv introducing a subspace…

Global: New RAIR Benchmark Provides Standardized Evaluation for LLM and VLM Search RelevanceA new benchmark called Rule-Aware benchmark with Image for Relevance assessment (RAIR) was introduced to evaluate search relevance…

Global: CENNSurv Introduces Scalable Deep Learning for Time‑Dependent Survival AnalysisIn December 2025, researchers released a new deep learning framework called CENNSurv to model cumulative effects of time‑dependent exposures on survival…

Global: Empirical Study Assesses Effectiveness and Side Effects of Deep Learning Model Repair MethodsA large-scale empirical study, posted on arXiv in December 2025, examined sixteen state-of-the-art deep‑learning model fixing approaches…

Global: Neural Optimal Design of Experiments Proposed for Inverse ProblemsOn December 28, 2025, researchers John E. Darges, Babak Maboudi Afkham, and Matthias Chung submitted a paper to arXiv introducing Neural…

Global: New Parameter-Efficient Adapter Method Boosts Long-Context Reasoning PerformanceA team of AI researchers has introduced PERK, a parameter‑efficient approach for long‑context reasoning, in a paper posted to arXiv on July…

Global: Researchers Propose Framework to Assess Dataset Stability in Network Traffic ClassificationA team of researchers posted a new paper on arXiv in December 2025 outlining a methodology to evaluate the…