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London School of Economics and Political Science
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Single-rollout RL can rival multi-rollout performance for LLM reasoning, thanks to a new batchwise advantage estimation technique that dramatically improves value function accuracy.
Reasoning beats scale: a 1.5B parameter model, READER, outperforms models 100-1000x larger in detecting AI-generated text by explicitly generating a rationale for its decision.
Pinpointing exactly where humans end and LLMs begin in co-authored text is now possible, thanks to a clever adaptation of time-series change point detection.
