4d
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...
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