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Arduin Findeis

@arduin.io
88 followers 154 following 25 posts

Working on evaluation of AI models (via human and AI feedback) | PhD candidate @cst.cam.ac.uk Web: arduin.io Github: github.com/rdnfn Latest project: app.feedbackforensics.com

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Arduin Findeis @arduin.io · 20/08/2026
New blog post: Everything in AI seems to constantly change but two evaluation challenges have remained surprisingly persistent ... overfitting and saturation Like a stubborn tree in a storm of AI progress. Read the post for my intuition why I don't expect this to change: arduin.io/blog/persist...
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Arduin Findeis @arduin.io · 24/04/2025
Excited to be in Singapore for ICLR! Keen to chat about interpreting feedback data and detecting model characteristics ⚖️ Reach out or come by our poster on Inverse Constitutional AI on Friday 25 April from 10am-12.30pm (#520 in Hall 2B) - @timokauf.bsky.social and I will be there!
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Arduin Findeis @arduin.io · 17/04/2025
🎁 Bonus 2: Humans like the arena model’s behaviours Human annotators on Chatbot Arena indeed like the change in tone, more verbose responses and adapted formatting.
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Arduin Findeis @arduin.io · 17/04/2025
🎁 Bonus 1: Things that stayed consistent I also find that some behaviours stayed the same: on the Arena dataset prompts, the public and arena model versions are similarly very unlikely to suggest illegal activities, be offensive or use inappropriate language.
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Arduin Findeis @arduin.io · 17/04/2025
3️⃣ Third: Formatting - a lot of it! The arena model uses more bold, italics, numbered lists and emojis relative to its public version.
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Arduin Findeis @arduin.io · 17/04/2025
2️⃣ Second: Tone - friendlier, more enthusiastic, more humour … Next, the results highlight how much friendlier, emotional, enthusiastic, humorous, confident and casual the arena model is relative to its own public weights version (and also its opponent models).
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Arduin Findeis @arduin.io · 17/04/2025
So how exactly is the arena version different to the public Llama 4 Maverick model? I make a few observations… 1️⃣ First and most obvious: Responses are more verbose. The arena model’s responses are longer relative to the public version for 99% of prompts.
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Arduin Findeis @arduin.io · 17/04/2025
How exactly was the initial Chatbot Arena version of Llama 4 Maverick different from the public HuggingFace version?🕵️ I used our Feedback Forensics app to quantitatively analyse how exactly these two models differ. An overview…👇🧵
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Arduin Findeis @arduin.io · 17/03/2025
🤖 3. Discovering model strengths How is GPT-4o different to other models? → Uses more numbered lists, but Gemini is more friendly and polite app.feedbackforensics.com?data=chatbot...
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Arduin Findeis @arduin.io · 17/03/2025
🧑‍🎨🧑‍💼 2. Finding preference differences between task domains How do preferences differ across writing tasks? → Emails should be concise, creative writing more verbose app.feedbackforensics.com?data=chatbot...
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Arduin Findeis @arduin.io · 17/03/2025
🗂️ 1. Visualizing dataset differences How does Chatbot Arena differ from Anthropic Helpful data? → Prefers less polite but better formatted responses app.feedbackforensics.com?data=chatbot...
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Arduin Findeis @arduin.io · 17/03/2025
🕵🏻💬 Introducing Feedback Forensics: a new tool to investigate pairwise preference data. Feedback data is notoriously difficult to interpret and has many known issues – our app aims to help! Try it at app.feedbackforensics.com Three example use-cases 👇🧵
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