@mlango.bsky.social
Reposted
📣 New paper at #KDD2025 on robust counterfactual explanations!
Imagine an AI tells you "Increase income by $200 to get a loan". You do it, but when you reapply, the model has been updated and rejects you anyway. We solve this issue by making CFEs robust to model changes! 1/7🧵
Imagine an AI tells you "Increase income by $200 to get a loan". You do it, but when you reapply, the model has been updated and rejects you anyway. We solve this issue by making CFEs robust to model changes! 1/7🧵
May 12, 2025 at 12:47 PM
📣 New paper at #KDD2025 on robust counterfactual explanations!
Imagine an AI tells you "Increase income by $200 to get a loan". You do it, but when you reapply, the model has been updated and rejects you anyway. We solve this issue by making CFEs robust to model changes! 1/7🧵
Imagine an AI tells you "Increase income by $200 to get a loan". You do it, but when you reapply, the model has been updated and rejects you anyway. We solve this issue by making CFEs robust to model changes! 1/7🧵
Reposted
On Saturday, @patuchen.bsky.social talked at the GHOST Day: Applied Machine Learning Conference in Poznań 🇵🇱 👉 Evaluating LLM-generated text at a scale 👈 lessons learned from evaluating hotel highlights and a script of a theater play, and practical recommendations for LLMs in a referenceless scenario
May 12, 2025 at 11:45 AM
On Saturday, @patuchen.bsky.social talked at the GHOST Day: Applied Machine Learning Conference in Poznań 🇵🇱 👉 Evaluating LLM-generated text at a scale 👈 lessons learned from evaluating hotel highlights and a script of a theater play, and practical recommendations for LLMs in a referenceless scenario