We are looking for CS researchers to participate in a study exploring how AI can change the way we do literature reviews. 📚🧑🎓
Time: ~90 min, remote
Compensation: $60 USD
Sign up here: https://t.co/5P0hDpCUMQ
@dsweld@amyxzh@josephcc@marissa_rad@Siangliulue@turingmusician
We're seeking CS researchers to participate in a study on working with AI tools to come up with research project ideas!
Recruitment survey: https://t.co/OTXhP71DVD
Compensation: $50 Amazon gift card
Time: 90 mins
@dsweld@Hoper_Tom@its_sshahid@Siangliulue@rayrayfok
We took our most efficient model and made an open-source iOS app📱but why?
As phones get faster, more AI will happen on device. With OLMoE, researchers, developers, and users can get a feel for this future: fully private LLMs, available anytime.
Learn more from @soldni👇
What if paper abstracts weren’t just static summaries?
In our #UIST2024 paper, we present Qlarify, a mixed-initiative system built on a lightweight interaction technique that expands abstracts with details from the full text—empowering scholars to dive deeper, faster.
Check out our paper here: https://t.co/OahVI5RqIW
This work was done last summer with amazing collaborators at semantic scholar / ai2: @josephcc@tal_august@amyxzh@dsweld
And come chat with us during the “Learning to Learn” session at 3:35pm on Weds 10/16!
Now that #UIST2023 is almost over and you are looking for new project ideas: Check out The Semantic Reader Open Research Platform that enables you to build interactive intelligent paper readers like Papeo and Synergi that we presented at the conference! https://t.co/UwYaONMDHf
Excited by a new paper with @rayrayfok, arguing that AI explanations are rarely useful for supporting HAI decision-making. To be useful, expls need to help the human verify answer correctness (rather than show the AI’s thought process), but most don't! https://t.co/cwFFHQXcTZ
@jwnichls We’re in the process of improving the quality of generated highlights, but hope to release it soon along with a conference publication. And potentially incorporate some of the ideas into S2’s Reader
Can intelligent tools help researchers skim papers?
We developed Scim, an augmented reading interface with faceted highlights that scaffold information discovery during skimming. With @drewmikehead@turingmusician@kylelostat@martihearst & @dsweld. See https://t.co/Sbeyybc9KV.