Many language-model pipelines end in a closed-set decision, such as selecting a tool. Prompting a large language model for it is slow and order-sensitive. We ask how small an encoder for such decision
Many language-model pipelines end in a closed-set decision, such as selecting a tool. Prompting a large language model for it is slow and order-sensitive. We ask how small an encoder for such decision
Details from Hugging Face ↗.
Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters was first seen on Hugging Face · Daily papers on Oct 28, 2026. Since then it has appeared in 1 check on 1 different day. Its best position was #30 of 30, reached on Oct 28, 01:28 UTC. It dropped off the list after Oct 28, 01:28 UTC.
This page has little history so far; it stays out of search results until the item has trended on two days or has more context.
Position on Hugging Face · Daily papers at every check (lower is better).
Best rank per day (UTC).
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Oct 28, 01:28 UTC, after 1 day of trending.
#30 on Hugging Face · Daily papers, on Oct 28, 01:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 28, 2026 and has been on the list on 1 day (1 check) since.