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#artificial intelligence Preprint Oct 2026

Can LLMs predict the outcomes of machine learning experiments?

This work evaluates how accurately large Language Models predict the impact of self-generated ML experiment ideas before these are put into training runs to show that current LLMs have useful but limited intuition about which ML ideas will work.

Ayush Bansal, Aldo Pareja, S. Klein et al. · 0 citations
#large language models Book Open access Sep 2026

Preparing Citizens for Emergency Calls with a Hybrid FSM-LLM Dialogue Agent

A task-oriented dialogue agent that simulates emergency call takers to prepare citizens for effective medical emergency communication and uses a finite-state machine as its dialogue policy and large language models for natural language understanding.

S. Klein, Jane Jean Kiam · 0 citations

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