METRO induces both short-term actions and long-term planning from expert transcripts into a Strategy Forest, outperforming prior methods by 9-10% on two non-collaborative dialogue benchmarks.
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SDialog is a Python toolkit that unifies dialog generation, evaluation, mechanistic interpretability, and audio simulation for building and analyzing LLM-based conversational agents.
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METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
METRO induces both short-term actions and long-term planning from expert transcripts into a Strategy Forest, outperforming prior methods by 9-10% on two non-collaborative dialogue benchmarks.
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SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
SDialog is a Python toolkit that unifies dialog generation, evaluation, mechanistic interpretability, and audio simulation for building and analyzing LLM-based conversational agents.