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Paperium
Paperium

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LaSeR: Reinforcement Learning with Last-Token Self-Rewarding

How a Tiny “Last Word” Makes AI Think Faster and Smarter

Ever wondered how a chatbot could check its own answers in the blink of an eye? Scientists have discovered a clever shortcut called LaSeR that lets large language models give themselves a quick “thumbs‑up” right at the final word they type.
Imagine finishing a crossword puzzle and instantly knowing if you’re correct because the last clue tells you so—that’s the idea, but for AI reasoning.
Instead of pausing to run a separate verification step, the model looks at the probability of one chosen token at the very end and turns that into a confidence score.
This tiny tweak adds only one extra token of computation, yet it boosts both speed and accuracy.
It means AI can reason and self‑check in one smooth flow, making chatbots, translators, and search assistants more reliable for everyday use.
The breakthrough shows that a simple “last‑token” hint can unlock smarter, faster thinking—a reminder that sometimes the smallest change leads to the biggest leap forward.
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LaSeR: Reinforcement Learning with Last-Token Self-Rewarding

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