GNN-RAG: Graph Neural Network Enhanced Retrieval-Augmented Generation
Retrieval-Augmented Generation has become the standard approach for grounding LLM responses in factual knowledge. But standard RAG has a …
Retrieval-Augmented Generation has become the standard approach for grounding LLM responses in factual knowledge. But standard RAG has a …
The most expensive part of improving AI models has always been data: collecting, cleaning, and annotating millions of examples requires enormous …
Princeton University’s Natural Language Processing group has produced some of the most influential research in AI, and SWE-agent represents …
Verifiers is a modular Python library developed by PrimeIntellect-ai that provides a comprehensive framework for creating reinforcement learning …
OpenManus-RL is an open-source research project at the intersection of reinforcement learning and LLM agent systems, developed collaboratively by …
Retrieval-Augmented Generation (RAG) has become the standard approach for grounding LLM outputs in external knowledge. But standard RAG has a …