NARRA-Gym is an executable benchmark that generates complete interactive narrative episodes from emotional seeds and logs full model trajectories to expose gaps in coherence, adaptation, and personalization that static story tests miss.
Findings of the Association for Computational Linguistics: EMNLP 2023 , pages =
2 Pith papers cite this work. Polarity classification is still indexing.
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NLAC architecture translates natural language requests to access policies via LLMs, with embedding-based subgraph selection enabling up to 98.7% accuracy on large networks per NLACBench evaluations.
citing papers explorer
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NARRA-Gym for Evaluating Interactive Narrative Agents
NARRA-Gym is an executable benchmark that generates complete interactive narrative episodes from emotional seeds and logs full model trajectories to expose gaps in coherence, adaptation, and personalization that static story tests miss.
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Natural Language Access Control (NLAC): From Help Desk Requests to Structured Policies
NLAC architecture translates natural language requests to access policies via LLMs, with embedding-based subgraph selection enabling up to 98.7% accuracy on large networks per NLACBench evaluations.