#generative-search — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #generative-search, aggregated by home.social.
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"Search With Stateful Chat" patent (Cf. https://patents.google.com/patent/US20240289407A1/en ) - appears to describe the Gemini app for smartphones.
"Method for Text Ranking with Pairwise Ranking Prompting" (Cf. https://patents.google.com/patent/US20250124067A1/en ) - documents an experimental process described in this research paper titled "Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting" (Cf. https://arxiv.org/pdf/2306.17563 ). There is no indication this was introduced into a live agentic system like Gemini.
"User Embedding Models for Personalization of Sequence Processing Models" (Cf. https://patents.google.com/patent/WO2025102041A1/en ) - documents an experimental process for improving recommender (sub-)systems (like movie searches) that incorporate large language models. The process is described in this research paper titled "User Embedding Model for Personalized Language Prompting" (Cf. https://arxiv.org/pdf/2401.04858 ).
"Systems and methods for prompt-based query generation for diverse retrieval" (Cf. https://patents.google.com/patent/WO2024064249A1/en ) - updates a 2022 patent for a process named PROMPTAGATOR that generates queries more efficiently based on a small number of examples, as described in this research paper titled "Promptagator - Few-shot Dense Retrieval from 8 Examples" (Cf. https://arxiv.org/pdf/2209.11755 ). This could be used to generate query fan-outs (but query fan-out has been used in multiple systems at least since the 1990s, so there are many implementations).
"Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps" (Cf. https://patents.google.com/patent/US20240256965A1/en ) - documents an older method for fine-tuning instructions submitted to LLMs, as described in this 2022 research paper titled "Scaling Instruction-Finetuned Language Models" (Cf. https://www.jmlr.org/papers/volume25/23-0870/23-0870.pdf ). The work has been superseded by this paper titled "Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models" (Cf. https://arxiv.org/pdf/2305.14705 ).
This is the AI Overviews patent, titled "Generative summaries for search results" (Cf. https://patents.google.com/patent/US11769017B1/en )
#google #aioverviews #aimode #machinelearning #search #searchengines #generativesearch #seo #searchengineoptimization #webmarketing #digitalmarketing #ai #patents
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"Search With Stateful Chat" patent (Cf. https://patents.google.com/patent/US20240289407A1/en ) - appears to describe the Gemini app for smartphones.
"Method for Text Ranking with Pairwise Ranking Prompting" (Cf. https://patents.google.com/patent/US20250124067A1/en ) - documents an experimental process described in this research paper titled "Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting" (Cf. https://arxiv.org/pdf/2306.17563 ). There is no indication this was introduced into a live agentic system like Gemini.
"User Embedding Models for Personalization of Sequence Processing Models" (Cf. https://patents.google.com/patent/WO2025102041A1/en ) - documents an experimental process for improving recommender (sub-)systems (like movie searches) that incorporate large language models. The process is described in this research paper titled "User Embedding Model for Personalized Language Prompting" (Cf. https://arxiv.org/pdf/2401.04858 ).
"Systems and methods for prompt-based query generation for diverse retrieval" (Cf. https://patents.google.com/patent/WO2024064249A1/en ) - updates a 2022 patent for a process named PROMPTAGATOR that generates queries more efficiently based on a small number of examples, as described in this research paper titled "Promptagator - Few-shot Dense Retrieval from 8 Examples" (Cf. https://arxiv.org/pdf/2209.11755 ). This could be used to generate query fan-outs (but query fan-out has been used in multiple systems at least since the 1990s, so there are many implementations).
"Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps" (Cf. https://patents.google.com/patent/US20240256965A1/en ) - documents an older method for fine-tuning instructions submitted to LLMs, as described in this 2022 research paper titled "Scaling Instruction-Finetuned Language Models" (Cf. https://www.jmlr.org/papers/volume25/23-0870/23-0870.pdf ). The work has been superseded by this paper titled "Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models" (Cf. https://arxiv.org/pdf/2305.14705 ).
This is the AI Overviews patent, titled "Generative summaries for search results" (Cf. https://patents.google.com/patent/US11769017B1/en )
#google #aioverviews #aimode #machinelearning #search #searchengines #generativesearch #seo #searchengineoptimization #webmarketing #digitalmarketing #ai #patents
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We need a conceptual framework for LLMs and social visibility
As a literary executor I promised to maximise diffusion of my mentor’s work to extent I could without damaging its integrity. Now receiving requests from publisher to license training on the books. This certainly aids diffusion by increasing visibility within the model but does it damage integrity? We still lack a conceptual framework for thinking about how existing hierarchies of attention will be restructured by visibility or its absence within a model. I find it easy to see how the implications could be complex and multifaceted, in ways we urgently need to understand for higher education.
For example my blog now gets lots of traffic via Perplexity & ChatGPT because it’s clearly identified as a high authority source. ChatGPT can answer questions about me with sufficient detail that I suspect it was trained on my blog. These have non-trivial implications for academic visibility/status. It’s hard to explore these issues conceptually and empirically if the debate is polarised into abolitionists and solutionists, such that if you’re not one you are immediately suspected of being the other.
#attentionEconomy #celebrity #generativeAI #generativeSearch #heirarchy #LLMs #SocialMedia #socialPlatforms #stratification #visibility
