Evaluating Verifiability in Generative Search Engines Topics: AI (Deep Learning), AIOverviews, Retrieval Augmented Generation (RAG)
Using large language model(s) in generating automated assistant response(s) Topics: AI (Deep Learning), AIOverviews, LLMO, Probably in use, Retrieval Augmented Generation (RAG), SGE
Knowing When to Ask – Bridging Large Language Models and Data Topics: AI (Deep Learning), AIOverviews, LLMO, Retrieval Augmented Generation (RAG), SGE
Using embedding functions with a deep network Topics: AI (Deep Learning), AIOverviews, Jeff Dean, LLMO, Semantic Search
An overview of the Gemini app Topics: AI (Deep Learning), AIOverviews, LLMO, Retrieval Augmented Generation (RAG)
Using user input to adapt search results provided for presentation to the user Topics: AIOverviews, LLMO, Probably in use, SERP-Features, SGE
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models Topics: AI (Deep Learning), AIOverviews, Data Mining, LLMO, Retrieval Augmented Generation (RAG)
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems Topics: AI (Deep Learning), AIOverviews, Data Mining, LLMO, SGE
MMSEARCH: Benchmarking the Potential of Large Models as Multi-Modal Search Engines Topics: AI (Deep Learning), AIOverviews, LLMO, Ranking, Reranking
Attribute First, then Generate: Locally-attributable Grounded Text Generation Topics: AI (Deep Learning), AIOverviews, LLMO, Retrieval Augmented Generation (RAG), SGE
