AutoGraph: An Automatic Graph Construction Framework based on LLMs for Recommendation
Enhancing user experiences and boosting retention using recommendation systems is an effective...
Researchers from Salesforce, The University of Tokyo, UCLA, and Northeastern University Propose the Inner...
Conversational AI has come a long way, but one challenge persists: getting...
Dolphin 3.0 Released (Llama 3.1 + 3.2 + Qwen 2.5): A Local-First, Steerable AI...
Artificial intelligence has come a long way, transforming the way we work,...
Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through...
Graph generation is an important task across various fields, including molecular design...
From Latent Spaces to State-of-the-Art: The Journey of LightningDiT
Latent diffusion models are advanced techniques for generating high-resolution images by compressing...
Enhancing Protein Docking with AlphaRED: A Balanced Approach to Protein Complex Prediction
Protein docking, the process of predicting the structure of protein-protein complexes, remains...
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Achieving expert-level performance in complex reasoning tasks is a significant challenge in...
Researchers from NVIDIA, CMU and the University of Washington Released ‘FlashInfer’: A Kernel Library...
Large Language Models (LLMs) have become an integral part of modern AI...
PRIME: An Open-Source Solution for Online Reinforcement Learning with Process Rewards to Advance Reasoning...
Large Language Models (LLMs) face significant scalability limitations in improving their reasoning...
FutureHouse Researchers Propose Aviary: An Extensible Open-Source Gymnasium for Language Agents
Artificial intelligence (AI) has made significant strides in developing language models capable...
