Prompt Science, Agent Recommender, and More
In this edition of "Advances in Computing." we have three CACM stories on a new method of prompt engineering, a new recommendation paradigm for an LLM-based agent platform, and website blocking as a viable way of fighting online criminal activity. Also featured are stories from Interactions, ACM's magazine on interaction design and user experience.
Happy Reading!
Can prompt engineering be made more reliable, verifiable, and generalizable?
A new method shows how humans and LLMs can work in collaboration, bringing verifiability and trustworthiness as well as objectivity and scalability in data analysis.
Can LLM-based agents take recommender systems to the next level?
The Rec4Agentverse is a new recommendation paradigm for an LLM-based agent platform, offering personalized suggestions from Item Agents to users via the Agent Recommender.
Options, evidence, and the empirical case for judicial site blocking in the U.S.
Given the limitations of existing demand-side enforcement policies, and the difficulty enforcing many supply-side policies on websites located internationally, the empirical evidence suggests that website blocking has a number of desirable properties in fighting online criminal activity.
Interactions - All About HCI:
In a world where AI promises eternal digital life, Hiroshi Ishii's vision is a vital reminder: The essence of memory lies not in perfection but in imperfection—the gaps, the absences, and the human need to fill them with love, meaning, and a deeper understanding of our own evolving identities.
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Sci-fi UIs can be used as a powerful vehicle in encouraging CS students to examine the relationship between technologies and humans.
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Prompt Science sounds promising 🙂