arXiv:2410.10136v2 Announce Type: replace-cross Abstract: In customer contact centers, human agents often struggle with long average handling times (AHT)…
Tag: AI
Google DeepMind’s WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour
WeatherNext 3 ingests live geostationary satellite mosaics, refreshes hourly, and outputs 5 km forecasts across Search, Gemini, Maps.
Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation
arXiv:2502.09884v4 Announce Type: replace-cross Abstract: We consider linear two-time-scale stochastic approximation algorithms driven by martingale…
Gemini 3.8 Flash is Google’s third budget model in six weeks while frontier models remain MIA
Google’s Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its “working…
Evaluating the Evaluator: Summarization Metrics and LLM-Judges beyond English
arXiv:2503.17039v3 Announce Type: replace-cross Abstract: Automatic text summarization relies on automatic evaluation to quickly determine the quality of…
US government sides with OpenAI on issue of training LLMs on copyrighted material
“The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the…
Action abstractions for amortized sampling
arXiv:2410.15184v2 Announce Type: replace-cross Abstract: As trajectories sampled by policies used by reinforcement learning (RL) and generative flow…
Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations
arXiv:2609.01408v2 Announce Type: replace Abstract: A fundamental challenge in artificial intelligence is the transformation of observations into explicit…
A Survey of Transformer-based Language Models with Focus on Efficiency
arXiv:2406.16893v3 Announce Type: replace-cross Abstract: The emergence of Transformer-based Large Language Models (LLMs) has substantially augmented the…
Motional and MIT AI explains self-driving car decisions
Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in…