Honghao Wang

NeurIPS 2025 | Language Ranker: Rethinking and Optimizing Large Model Decoding from a Recommender System Perspective

NeurIPS 2025 | Language Ranker: Rethinking and Optimizing Large Model Decoding from a Recommender System Perspective

# Language Ranker — Redefining LLM Decoding from a Recommendation System Perspective **Date:** 2025-11-30 11:17 **Location:** Liaoning ![image](https://blog.aitoearn.ai/content/images/2025/11/img_001-737.jpg) --- ## Introduction **Language Ranker** offers a fresh perspective on **large language model (LLM) decoding**, treating it as analogous to the **ranking stage*

Why Does AIGC Detection Often Miss the Mark? Tencent Youtu Reveals the Problem May Lie at the Data Source

Why Does AIGC Detection Often Miss the Mark? Tencent Youtu Reveals the Problem May Lie at the Data Source

Dual Data Alignment: Improving AI-Generated Image Detection Generalization In the rapidly evolving world of AIGC (AI-Generated Content), a single prompt can produce highly realistic images and media. While this is impressive, it also introduces serious security concerns — including fake news, identity fraud, and copyright infringement. Detecting AI-generated images has therefore