This content originally appeared on DEV Community and was authored by Paperium
How AI Got Smarter by Saying Less: The DLER Breakthrough
Ever wondered why some chat‑bots ramble on while still getting the answer right? Scientists have discovered a simple trick that teaches AI to be both concise and accurate.
By gently nudging the model to stop writing early—think of it like a teacher cutting off a student’s essay once the main point is clear—researchers created a method called Doing Length Penalty Right (DLER).
This approach uses clever “reward” balancing and a bit of extra training finesse, so the AI learns to pack more intelligence into each word.
The result? Answers that are up to 70 % shorter, yet even more correct than before, and they arrive faster—like getting a crisp text message instead of a long‑winded email.
Imagine asking a question and receiving a clear, spot‑on reply in the blink of an eye.
This breakthrough shows that smarter AI doesn’t need to be wordy; it just needs the right guidance.
The future of chat‑bots may be brief, bright, and brilliantly efficient.
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Read article comprehensive review in Paperium.net:
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
This content originally appeared on DEV Community and was authored by Paperium
Paperium | Sciencx (2025-11-09T13:00:34+00:00) DLER: Doing Length pEnalty Right – Incentivizing More Intelligence per Token viaReinforcement Learning. Retrieved from https://www.scien.cx/2025/11/09/dler-doing-length-penalty-right-incentivizing-more-intelligence-per-token-viareinforcement-learning/
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