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Autoregressive Model

4 articles · Page 1 of 1
Data Party THU
Data Party THU
Jul 15, 2026 · Artificial Intelligence

How Autoregressive Boltzmann Generators Are Redefining Molecular Sampling

The paper introduces Autoregressive Boltzmann Generators (ArBG) that replace flow‑based models with autoregressive modeling, enabling exact likelihood computation, efficient importance‑sampling correction, and scalable transfer learning, and demonstrates superior performance on peptide benchmarks compared with prior Boltzmann generators.

Autoregressive ModelBoltzmann GeneratorImportance Sampling
0 likes · 15 min read
How Autoregressive Boltzmann Generators Are Redefining Molecular Sampling
JD Retail Technology
JD Retail Technology
Jun 29, 2026 · Artificial Intelligence

Uni-AdGen: Unified Autoregressive Model for Personalized Image‑Text Ad Generation (CVPR 2026)

Uni‑AdGen unifies image and text generation in a single autoregressive framework, introduces a coarse‑to‑fine preference module and foreground‑aware control, and demonstrates superior performance on the million‑scale PAd1M dataset with novel evaluation metrics for personalized advertising.

Autoregressive Modelevaluation metricslarge-scale dataset
0 likes · 15 min read
Uni-AdGen: Unified Autoregressive Model for Personalized Image‑Text Ad Generation (CVPR 2026)
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 26, 2026 · Artificial Intelligence

Can Uni‑X Eliminate Multimodal Gradient Conflict with a Pure Autoregressive Design?

The paper reveals that standard shared‑parameter Transformers suffer severe gradient conflict when jointly processing low‑entropy text and high‑entropy visual tokens, and proposes Uni‑X—a two‑end‑separated, middle‑shared autoregressive model that isolates modality‑specific layers, reduces conflict, improves efficiency, and achieves strong results on image generation and editing benchmarks.

Autoregressive ModelGradient ConflictICLR 2026
0 likes · 8 min read
Can Uni‑X Eliminate Multimodal Gradient Conflict with a Pure Autoregressive Design?
AI Frontier Lectures
AI Frontier Lectures
Mar 30, 2025 · Artificial Intelligence

How NOVA Generates High‑Quality Video Autoregressively Without Vector Quantization

This article provides an in‑depth analysis of the NOVA model, a non‑quantized autoregressive video generation framework that combines frame‑by‑frame temporal prediction with set‑by‑set spatial prediction, uses diffusion loss for token estimation, and achieves state‑of‑the‑art results on multiple video and image benchmarks.

AI researchAutoregressive ModelNova
0 likes · 15 min read
How NOVA Generates High‑Quality Video Autoregressively Without Vector Quantization