Hamsterdam Research
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How Many Times Should You Ask an AI Assistant the Same Question? Research Into Measuring AI Visibility (Hamsterdam Research)
How Many Times Should You Ask an AI Assistant the Same Question? Research Into Measuring AI Visibility (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore their hypothetical implications for the…
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Why Relevance Isn’t Enough for AI Search: The Importance of Answerability (Hamsterdam Research)
Why Relevance Isn’t Enough for AI Search: The Importance of Answerability (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore their hypothetical implications for the future of search and SEO/GEO strategies.…
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Examining New Research, “Less can be More: Relieving RAG Bottlenecks via Evidence Frontloading and Pressure-Adaptive Budgeting,” for SEO/GEO Insights (Hamsterdam Research)
Examining New Research, “Less can be More: Relieving RAG Bottlenecks via Evidence Frontloading and Pressure-Adaptive Budgeting,” for SEO/GEO Insights (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore their hypothetical implications…
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Examining New Research, “AI in Search Reduces Publisher Referrals Without Improving User Experience: Experimental Evidence,” for SEO/GEO Insights (Hamsterdam Research)
Examining New Research, “AI in Search Reduces Publisher Referrals Without Improving User Experience: Experimental Evidence,” for SEO/GEO Insights (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore their hypothetical implications for…
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The AI Assistant Is Part of the Search Journey: What New Research, “Role of Personality in Conversational Information Seeking,” Means for SEO/GEO (Hamsterdam Research)
The AI Assistant Is Part of the Search Journey: What New Research, “Role of Personality in Conversational Information Seeking,” Means for SEO/GEO (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore…
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The Prompt Isn’t Always the Query: What Conversation Context Means for SEO and GEO (Hamsterdam Research)
The Prompt Isn’t Always the Query: What Conversation Context Means for SEO and GEO (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to another edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn what they’re talking about and explore their hypothetical implications for the future of search…
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Exploring “GuidedRAG: Semantic Steering of Retrieval-Augmented Generation” and Why SEO/GEO Professionals Should Care (Hamsterdam Research)
Exploring “GuidedRAG: Semantic Steering of Retrieval-Augmented Generation” and Why SEO/GEO Professionals Should Care (Hamsterdam Research) By Ethan Lazuk Last updated: Welcome to a new edition of Hamsterdam Research! 🐹 This is where we look at recent AI research papers to learn just what the heck they’re talking about and explore their hypothetical implications for the…
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Exploring “Scalable In-context Ranking with Generative Models,” a Google Research Paper, & Why SEO/GEO Professionals Should Care (A Hamsterdam Research Post)
Exploring “Scalable In-context Ranking with Generative Models,” a Google Research Paper, & Why SEO/GEO Professionals Should Care (A Hamsterdam Research Post) By Ethan Lazuk Last updated: Welcome to a new edition of Hamsterdam Research! 🐹 If you’re new here, this is where we look at recent AI research papers to learn just what the heck…
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Summarizing “Web vs. LLMs: An Empirical Study of Learning Behaviors of CS2 Students” from an SEO’s perspective (Hamsterdam Research)
In this Hamsterdam Research post, we’ll summarize “Web vs. LLMs: An Empirical Study of Learning Behaviors of CS2 Students” from an SEO’s perspective.
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What is Pairwise Ranking Prompting and why should SEOs care?
What is Pairwise Ranking Prompting and why should SEOs care? Welcome to a new Hamsterdam Research post. 🐹 We’ll be taking a look at a paper from Google Research titled, “Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.” The paper’s authors include Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu,…
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What are zero-shot pointwise LLM rankers and why should SEOs care?
What are zero-shot pointwise LLM rankers and intermediate relevance labels, and why should SEOs care? Welcome to a new Hamsterdam Research post. 🐹 This time, we’ll take a look at a paper from Google Research titled, “Beyond Yes and No: Improving Zero-Shot Pointwise LLM Rankers via Scoring Fine-Grained Relevance Labels.” The paper’s authors include Honglei…
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Learning what query expansion to improve generalization of strong cross-encoder rankers means and why SEOs should care.
Learning what query expansion to improve generalization of strong cross-encoder rankers means and why SEOs should care. Welcome to a new Hamsterdam Research post. This week, we’ll take a look at a paper from Google Research titled, “Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?“ The paper’s authors include Minghan Li, Honglei Zhuang, Kai…
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Exploring language model embeddings for Bayesian optimization & why marketers should care.
Exploring language model embeddings for Bayesian optimization & why marketers should care. Welcome to a new week of 🐹 Hamsterdam Research, where we’re looking at a Google DeepMind paper, Predicting from Strings: Language Model Embeddings for Bayesian Optimization. The paper was submitted to ArXiv on October 14th, 2024, and includes several authors, including Tung Nguyen,…
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What we as marketers can learn about originality and diversity from Diversity-Rewarded CFG Distillation via Google DeepMind.
What we as marketers can learn about originality and diversity from Diversity-Rewarded CFG Distillation via Google DeepMind. Welcome back to 🐹 Hamsterdam Research, where we’re looking at a subtopic from a Google DeepMind paper, Diversity-Rewarded CFG Distillation. Our focus will be on what originality and diversity mean in the context of the paper, and why…
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Introducing inference scaling for long-context RAG, and why marketers should care.
Introducing inference scaling for long-context RAG via Google DeepMind, and why marketers should care. Welcome back to 🐹 Hamsterdam Research, where we’re delving into a new topic from Google DeepMind: Inference Scaling for Long-Context RetrievalAugmented Generation. The paper was submitted to ArXiv on October 6th, 2024, and includes several authors, including Zhenrui Yue, Honglei Zhuang,…
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Introducing Differential Transformer, and why marketers should care.
Introducing Differential Transformer, and why marketers should care. 🐹 Hamsterdam Research is back with a new and exciting topic: Differential Transformer. You may be familiar with Transformers, the basis for ML models like GPT and BERT. A Differential Transformer (Diff Transformer) is an improved version designed to handle attention better by focusing on relevant information…
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Stumbling Upon Google Engineer Ni Lao’s Work, & Exploring What It Can Teach Us about ML, IR & NLP for SEO Insights (a Hamsterdam Research Post)
In this Hamsterdam Research post, we look at the work of Ni Lao, a Google engineer, for learnings about machine learning, information retrieval, and NLP.