Eytan Adar
Michigan faculty, http://www.cond.org
- Reposted by Eytan AdarThe Open Visualization Academy (OVA) IS LIVE! openvisualizationacademy.org Thread follows #dataViz #infographics #dataJournalism #dataVisualization
- Can someone explain to me the objections to the arxiv survey paper thing? I get that it might be a biased, and maybe not grounded in data, but what's the actual/perceived benefit for posting on arxiv vs... I don't know... anywhere else? Is it citations? visibility? genuinely curious...
- FWIW, the studies I've seen on benefits of prepubs for citations is a mixed bag. But these seem to focus on published vs published + arxiv preprint. Maybe it's different for never published + preprint on arxiv vs preprint elsewhere
- Coining a new phrase: "Great Pacific Paper Patch." Definition: The growing collection of rejected papers floating from conference to conference and clogging up the knowledge ocean. :)
- When reacting to some kind of new (manufactured) scandal every day, the press forgets they can come back the next day and say: you didn't know about it yesterday, but you've had a day to think about this, what's your reaction?
- Fun paper from a recent project with UMich alumni Tenghao Ji. Can we pick better images for Wikipedia articles? Given all the choices in the Wikipedia Commons, which image is best as an "instructional aid?" (1/5)
- For example, given the 234 different images of the Western Bluebird, which should I pick? Our intuition is that with a "good" instructional image, someone should be able to answer questions about important visual properties of the concept better than with a "bad" image. (2/5)
- So if I ask: "what is the chest color of the Western Bluebird?", a good image helps you answer correctly (orange). QuizRank uses an LLM to generate questions (based on the article) and a VLM to take the test. Images that help the VLM do well on the test are better and are ranked more highly. (3/5)
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View full threadI should also add that you don't need the LLM/VLM to do this... you can have humans do some (or all) of the algorithm. It's just that the LLM/VLM solution makes it scale and can highlight images for editors that they might not have considered. (6/5)
- Reposted by Eytan AdarJohn Derby Evans Professorship in Information (Assistant or Associate Professor) at UMSI. Apps due Nov 1. www.si.umich.edu/people/facul...
- We need something more technical sounding than "co-evolution" to describe this... RHLAF: reinforcing human learning through AI feedback? HAAF: human adaptation through AI feedback? :)
- As LLMs Improve, People Adapt Their Prompts a study shows that a lot of the real world performance gains that people see are actually because people learn how to use the model better arxiv.org/abs/2407.14333
- I'm very curious... Are cheese curlers often used in the bathtub? Was the art director like, "how do I show that our cheese curler is rust proof?"
- If you depend on EMNLP/ARR for your publishing or for hiring/promotion, I feel bad for you.
- I'm not sure who recommended it to me, but let me pass it on since it was a fun read: "Get the Picture" by Bianca Bosker
- Who knew... Claude can be funny... ;) Real researchers don't use LLMs: claude.ai/share/91111e...
- Taken to the extreme this starts to sound like real programmers don't eat quiche (www.bernstein-plus-sons.com/RPDEQ.html). Real researchers don't use LLMs. Real researchers don't use search engines. Real researchers don't use anything other than articles faxed to them from the author.
- Reposted by Eytan AdarDecision-making studies appear in HCI, vis, & increasingly AI/ML, but how “good decision” is defined is often ad-hoc My #CHI2025 talk today will answer Qs like: What's a decision problem? What's the best possible performance on a decision problem? What minimum info must participants be given? 1/2
- I occasionally watch this couple doing a massive rebuild on their house. It's interesting how much they use/trust ChatGPT: youtu.be/KEgQO6ynJWE?.... Guess this is the new post-search world, but I'm waiting for the episode where they figure out it gave them bad advice on something critical.
- Worth the occasional repost given today's world
- We need to stop talking about indirects as: oh, I need $100k for research, but we charge the government $155k so I can give $55k to my institution for whatever. 1/2
- It should be: I need $155k to do my research. Some of that goes towards paying grad students, lab equipment, etc., and some of it goes to pay for the building, admin help, power, IT services, etc. Which is actually what is going on 2/2
- The new administration is just crazy. What other organization achieves the same policy effect no matter who gets hired? They can bring in the super strategic or super incompetent and the results (at least short term) are the same.
