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…
Marzena Karpinska
Researcher with public evidence across AI research, Culture, work & education, Evaluation & benchmarks.
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and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.
- IdeaLens reframes AI detection around idea provenance by representing each document as an outline of discourse-role plus paraphrased content.
- On 50 stories humans wrote from AI-generated plans, IdeaLens flagged 68% as AI versus 8% for Pangram 4, a prose-level detector.
- The system was trained on 1M FineWeb documents with silver labels from Pangram and tested across 19 existing detection benchmarks.
and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.
and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.
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 📖…
For a limited time, we are releasing a demo of #IdeaLens and #ProseLens, so try it out! ideadetector.ai
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)
and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.
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...
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Can you tell whether the #ideas in a piece of writing came from a human or an AI? As AI writing becomes common, policies on AI use focus on who came up with the ideas in the text rather than who wrote it. AI detectors answer the latter, not the former. We release #IdeaLens, a detector of AI ideas.
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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