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🧵 2/4 Key findings: 1️⃣ Humans write best? No! LLM responses are rated better than human. 2️⃣ Essay answers? No! Bullet lists are often preferred. 3️⃣ Evaluate with BLEU? No! Reference-based metrics don't align with human preferences. 4️⃣ LLMs as judges? No! Prompted models produce inconsistent labels.
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🧵 3/4 This fundamentally challenges previous assumptions about RAG evaluation and system design. But we also show how crowdsourcing offers a viable and scalable alternative! Check out the paper for more. 📝 Preprint @ downloads.webis.de/publications... ⚙️ Code/Data @ github.com/webis-de/sig...
🧵 4/4 Credit and thanks to the author team @lgnp.bsky.social @timhagen.bsky.social @maik-froebe.bsky.social @matthias-hagen.bsky.social @benno-stein.de @martin-potthast.com @hscells.bsky.social – you can also catch some of them at #ECIR2025 currently if you want to chat about RAG!