One more thing @tuhinchakr.bsky.social 's post reminded me of... people tend to rationalize and see things not there. We saw it already in GPT-2 stories - we *expect* things to *mean* something, so we tend to see things that are not there... (link to this old paper: aclantholo…
Who's Who of AI
Marzena Karpinska
Why they matter
Researcher with public evidence across AI research, Culture, work & education, Evaluation & benchmarks.
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#nlp researcher interested in evaluation including: multilingual models, long-form input/output, processing/generation of creative texts
previous: postdoc @ umass_nlp
phd from utokyo
https://marzenakrp.github.io/
What they're sharing
aclanthology.org
AI translation of literary texts is ‘fine’, but readers still prefer human translations — LAIT lait.cs.sfu.ca
AI News Audit - Search Articles ainewsaudit.github.io
No, AI translations are NOT detected as AI generated text marzenakarpinska.substack.com
Articles & links
A lot of people focus on AI-written fiction, but what about AI literary translation? 📚 We find that AI translation can be readable.. ‼️BUT it also flattens characters' voices 🧙and is less immersive 🫣 than published human translations. Below is my favorite quote from a reader 📖…
Slop-eds are on the rise and seem to remain undisclosed. Please check out update to our audit of AI in news: ainewsaudit.github.io This work will be presented next week at #ACL2026 (Sunday 4:00-5:30 oral session)
I've been getting tired of people arguing they 'only translated' or 'lightly edited' their reviews/papers #ARR so I decided to check whether that's really detected as 100% AI by @pangram.com ... Spoiler alert, it's not: marzenakarpinska.substack.com/p/no-ai-tran...
Their own posts
Recent commentary
I think I will be posting this after each #ARR cycle: Please 🥺🙏 let's prohibit AI review writing. Otherwise, we will get lazy reviewers claiming they wrote bullet points and used AI only to put that in prose.
Great message from @barbaraplank.bsky.social unifying CL & NLP
In the spirit of #paperoverflow looking for emergency reviewers: - aspect-based summarization - hallucination detection - evaluation invariance - evaluation, evaluation bias - fine-grained evaluation for some, the reviewers filled in delay but became unresponsive later HELP, this house is on fire 🔥
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