Simplifying the latest STEM breakthroughs for all.
Highlights: Researchers develop an axiomatic characterization of the excess growth rate from portfolio theory. The study reveals deep links between information theory concepts and financial mathematics. Introduces three theorems based…
Highlights: Researchers introduce a novel E-Score framework for evaluating correctness in generative model outputs. The method eliminates vulnerabilities to p-hacking seen in previous p-value-based systems. Provides adaptivity and statistical guarantees…
Highlights: Introduces a meshless framework for solving nonlinear PDE inverse problems on irregular geometries. Utilizes spectral basis parameterization defined on a hyperrectangle enclosing the physical domain. Employs loss-function optimization inspired…
Highlights: New ProMoE framework enhances Mixture-of-Experts (MoE) routing in Diffusion Transformers. Achieves superior performance on ImageNet benchmarks using explicit routing guidance. Introduces two-step routing with conditional and prototypical routing for…
Highlights: Google researchers introduce MetricX‑25 and GemSpanEval for WMT25 Translation Evaluation Shared Task. MetricX‑25 uses an encoder‑only architecture to predict MQM and ESA quality scores with high accuracy. GemSpanEval formulates…
Highlights: SPICE introduces a new self-improving reinforcement learning framework based on corpus grounding. The system alternates between two roles: Challenger and Reasoner, to autonomously generate and solve tasks. Achieves +8.9%…
Highlights: Google submits MetricX-25 and GemSpanEval to the WMT25 Translation Evaluation Shared Task. MetricX-25 improves translation quality prediction using a refined architecture based on Gemma 3. GemSpanEval introduces a generative…
Highlights: New AI paradigm ReCode bridges the gap between high-level planning and low-level action. Developed by a research team led by Zhaoyang Yu and collaborators across multiple institutions. Introduces recursive…
Highlights: Introduces a novel Lookahead Anchoring technique for audio-driven human animation. Solves the long-standing problem of identity drift in autoregressive generation. Enables stable and expressive character motion without separate keyframe…
Highlights: Introduces Multi-Agent Evolve (MAE), a self-improving framework for large language models (LLMs). Uses a trio of agents — Proposer, Solver, and Judge — to co-evolve reasoning abilities without human…