Research & Innovation

Global: New Algorithms Introduce Risk Aversion to Online POMDP PlanningResearchers Yaacov Pariente and Vadim Indelman submitted a preprint to arXiv on January 28, 2026, describing novel online planning methods for…

Global: Dual-Path Gradient Alignment Boosts Speech Deepfake Detection AccuracyMotivation and ChallengesA new training framework that aligns gradients from original and augmented speech inputs has been shown to improve the detection…

Global: Multi-Agent Framework Enhances Heuristic Design for Combinatorial OptimizationBackgroundResearchers have introduced a novel multi-agent reasoning system called PathWise to improve automated heuristic design for combinatorial optimization problems. The framework was…

Global: Orca Browser Prototype Enables AI-Augmented Large-Scale Web Exploration A team of computer scientists has introduced a novel web browsing system that leverages artificial intelligence to assist users in navigating…

Global: CtrlCoT Framework Cuts Token Usage While Boosting LLM Reasoning AccuracyA team of researchers announced a new framework called CtrlCoT that aims to reduce the computational overhead of chain‑of‑thought (CoT)…

Global: OmegaUse GUI Agent Achieves State-of-the-Art Scores on Mobile and Desktop BenchmarksResearchers have unveiled OmegaUse, a general‑purpose graphical user interface (GUI) agent designed for autonomous task execution across both mobile…

Global: New Relational Planner Achieves Four-Order Speedup in Complex Decision ProblemsA team of computer scientists has unveiled a relational forward planner called Foreplan that dramatically accelerates policy computation for Markov…

Global: Test-Time Policy Evolution Boosts LLM Reasoning PerformanceResearchers led by Zhengbo Jiao submitted a new study to arXiv on January 28, 2026, introducing a test‑time framework that dynamically adapts large…

Global: Hessian-Guided Quantization Framework Hestia Improves Low-Bit LLM TrainingResearchers announced a new quantization-aware training (QAT) method called Hestia on arXiv in January 2026, targeting large language models (LLMs) that operate…

Global: New Adaptive Memory Framework Boosts LLM Agent EfficiencyResearchers have introduced Adaptive Memory via Multi‑Agent Collaboration (AMA), a novel framework designed to enhance memory management for large language model (LLM)…