Only for SEO Research Suite member s3: You Don’t Need That Much Data to Train a Search Agent via RL Topics: Data Mining, Deepseek, LLMO / GEO, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member Contextualization of generative language models based on entity resource identifiers Topics: LLMO / GEO, Microsoft, Personalization
Only for SEO Research Suite member Systems and methods for using contrastive pre-training to generate text and code embeddings Topics: LLMO / GEO, OpenAI / ChatGPT
Only for SEO Research Suite member Systems and methods for generating customized ai models Topics: AI (Deep Learning), LLMO / GEO, OpenAI / ChatGPT, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member Web page transformer for structure information extraction Topics: Data Mining, Indexing, LLMO / GEO, Probably in use
Only for SEO Research Suite member CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Topics: AI (Deep Learning), Entity based search, Graph RAG, Knowledge Graph, LLMO / GEO, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member Subquery generation from a query Topics: AIOverviews, LLMO / GEO, Retrieval Augmented Generation (RAG), Search Query Processing
Only for SEO Research Suite member Multi-Modal Search Request Router Topics: AI (Deep Learning), LLMO / GEO, Microsoft, Search Intent, Search Query Processing, SERP Serving (Tangram/Glue), SERP-Features
Only for SEO Research Suite member Search summary generation based on searcher characteristics Topics: AI (Deep Learning), AIOverviews, Entity based search, Know, Knowledge Graph, LLMO / GEO, Microsoft, Search Query Processing
Only for SEO Research Suite member Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation Topics: AI (Deep Learning), Krisztian Balog, LLMO / GEO, Prompt Engineering, Retrieval Augmented Generation (RAG)
