Do search+large language models or “augmented retrieval” models (e.g. Bing Chat, Perplexity, Elicit.org) really work? The evidence so far
Aaron Tay has been doing some deep dives into how SALAMI systems are being integrated with search and discovery systems. This post is another interesting one analysing two recent research papers on the subject. A key point from the second paper highlights the conundrum for those trying to provide dynamic “answers” that are factually correct and in fluent natural language:
The paper makes the point that engines that try to closely paraphrase or directly copy from citations are likely to have high citation precision recall, but the answer is likely perceived to be less fluent or useful because it may not answer the question. The more the system tries to paraphrase, the more likely the answer will be rated more fluent or useful but the chances increase it makes a mistake doing so.
The politics of rights retention
An interesting article about 'rights retention' in academic journal publishing, and the various politico-economic forces at play.
A new journal all about degrowth.
Degrowth journal is organised as a free, academic, open-access, international, transdisciplinary, and peer-reviewed journal that focuses on advancing the goals of degrowth. It will be published online including open issues and special-issues, and later, rolling submission.
This is not a typical academic journal:
First, we're looking for writers: researchers sharing their latest scientific discoveries or their perspectives about specific issues; thinkers wishing to share their exploration of a topic in an essay; bookworms eager to write a review of their latest read; students excited to summarise their theses; doers who have a story to tell about a conference, a meeting, or anything else they feel might be relevant to the readers of this journal. This is a safe place to grow wild ideas; don't hesitate to submit.
Libraries and Learning Links of the Week is published every Friday by Hugh Rundle.