most citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

PolyLingua: Margin-based Inter-class Transformer for Robust Cross-domain Language Detection

Ali Lotfi Rezaabad, Bikram Khanal, Shashwat Chaurasia +5

Language identification is a crucial first step in multilingual systems such as chatbots and virtual assistants, enabling linguistically and culturally accurate user experiences. E…

cs.CL2025

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

MiniMax, :, Aili Chen +125

We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…

cs.AI20252 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

cs.CL2024

CALICO: Conversational Agent Localization via Synthetic Data Generation

Andy Rosenbaum, Pegah Kharazmi, Ershad Banijamali +8

We present CALICO, a method to fine-tune Large Language Models (LLMs) to localize conversational agent training data from one language to another. For slots (named entities), CALIC…

cs.CV2024

Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion

Zhifei Chen, Tianshuo Xu, Wenhang Ge +7

Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution tr…