Reinforcement learning for language agents is growing more complex. Agents now manage multi-turn tool use, long-running contexts, and multi-agent orchestration....

Large language models become static after pretraining. Their knowledge does not update as the world changes. Retraining a full LLM...

Speculative decoding is a technique for speeding up large language model inference. A small, fast draft model proposes several tokens....

When large language models, or LLMs for short, produce outputs, several criteria are at stake, including not only overall response...

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