Hope this is helpful for anyone who wants a super broad, beginner-friendly intro to the topic!
Thanks @mcxfrank.bsky.social and @asifamajid.bsky.social for this amazing initiative!
Hope this is helpful for anyone who wants a super broad, beginner-friendly intro to the topic!
Thanks @mcxfrank.bsky.social and @asifamajid.bsky.social for this amazing initiative!
LLMs as Span Annotators: A Comparative Study of LLMs and Humans is accepted to multilingual-multicultural-evaluation.github.io 🎉
See paper arxiv.org/abs/2504.08697
LLMs as Span Annotators: A Comparative Study of LLMs and Humans is accepted to multilingual-multicultural-evaluation.github.io 🎉
See paper arxiv.org/abs/2504.08697
Any method you can think of – be it tagging, matching, or indexing – has flaws.
In our new preprint, we tested them all 💪We also proposed how to improve one of them.
arxiv.org/abs/2601.16946
Any method you can think of – be it tagging, matching, or indexing – has flaws.
In our new preprint, we tested them all 💪We also proposed how to improve one of them.
arxiv.org/abs/2601.16946
osf.io/preprints/so...
osf.io/preprints/so...
Hell of a flex for your tenure file.
news.wisc.edu/pop-star-bad...
Hell of a flex for your tenure file.
chi-star-workshop.github.io
My very first publication was there in 2004. End of an era.
firstmonday.org/ojs/index.ph...
My very first publication was there in 2004. End of an era.
firstmonday.org/ojs/index.ph...
🧮 How often?
🧠 Misrepresentations = missing knowledge? spoiler: NO!
At #CHI2026 we are bringing ✨TALES✨ a participatory evaluation of cultural (mis)reps & knowledge in multilingual LLM-stories for India
📜 arxiv.org/abs/2511.21322
1/10
🧮 How often?
🧠 Misrepresentations = missing knowledge? spoiler: NO!
At #CHI2026 we are bringing ✨TALES✨ a participatory evaluation of cultural (mis)reps & knowledge in multilingual LLM-stories for India
📜 arxiv.org/abs/2511.21322
1/10
So, please, stop with the narratives of inevitability and let's embrace a pedagogy and politics of refusal.
So, please, stop with the narratives of inevitability and let's embrace a pedagogy and politics of refusal.
I guarantee that someone at your university right now is a sexual harasser and/or abuser. Maybe you could stop them.
What can we do? I believe we're not helpless; we can improve our communities through practical actions.
Take a look: github.com/maria-antoni...
I guarantee that someone at your university right now is a sexual harasser and/or abuser. Maybe you could stop them.
@arxiv.bsky.social has recently decided to prohibit any 'position' paper from being submitted to its CS servers.
Why? Because of the "AI slop", and allegedly higher ratios of LLM-generated content in review papers, compared to non-review papers.
@arxiv.bsky.social has recently decided to prohibit any 'position' paper from being submitted to its CS servers.
Why? Because of the "AI slop", and allegedly higher ratios of LLM-generated content in review papers, compared to non-review papers.
🔸 More flexibility for authors
🔸 Emphasis on paper quality over deadline pressure
🧪 Important: Only a small number of papers will be invited to participate, and authors can nominate their work for possible selection.
cscw.acm.org/2026/rolling...
🔸 More flexibility for authors
🔸 Emphasis on paper quality over deadline pressure
🧪 Important: Only a small number of papers will be invited to participate, and authors can nominate their work for possible selection.
cscw.acm.org/2026/rolling...
https://www.arxiv.org/abs/2601.18724
https://www.arxiv.org/abs/2601.18724
This is a reminder that @cornelltech.bsky.social runs a Red Team Clinic that provides a *free* safety consultation to nonprofits / public sector orgs that are developing a public-facing AI tool and want to stress-test it for possible abuse vectors.
Applications welcome on a rolling basis:
This is a reminder that @cornelltech.bsky.social runs a Red Team Clinic that provides a *free* safety consultation to nonprofits / public sector orgs that are developing a public-facing AI tool and want to stress-test it for possible abuse vectors.
Applications welcome on a rolling basis:
🚨 We show they are not: different cues yield different model behavior for the same group and different conclusions on LLM bias. 🧵👇
🚨 We show they are not: different cues yield different model behavior for the same group and different conclusions on LLM bias. 🧵👇