Can your retriever handle tip-of-the-tongue queries? A test of intent depth
bclavie · x · 2026-10-17
bclavie argues that whether your retriever handles "tip-of-the-tongue" queries well is becoming an increasingly important question — not because they're common in the wild, but because they capture how deeply your model understands intent. He credits @dianetc for being ahead of the curve on this.
Related event: Tip-of-the-Tongue Queries Emerge as a Key Test for Retrievers(2 posts)→
More from Research
- Cohere research: agent teams hit frontier performance at 30% of the cost — nouhadziri · 2026-10-17
- Cohere publishes blog and paper on scaling agent teams at 30% cost — nouhadziri · 2026-10-17
- scaling01 launches a research project on looping models — scaling01 · 2026-10-17
- 'ink': an adaptive programming language with proof-backed rules that lets AI optimize itself in a loop — _AustinCalvert_ · 2026-10-17
- NYU Courant opens two-year postdoc position on self-improving AI and AI for math — thegautamkamath · 2026-10-17
- Snorkel Frontier Data Summit posts 10 talks on agent evals and reward hacking — ysu_nlp · 2026-10-17