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arXiv preprint arXiv:2404.13919 , year =

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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cs.CL 2

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2026 2

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UNVERDICTED 2

representative citing papers

NARRA-Gym for Evaluating Interactive Narrative Agents

cs.CL · 2026-05-08 · unverdicted · novelty 7.0

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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Showing 2 of 2 citing papers.

  • NARRA-Gym for Evaluating Interactive Narrative Agents cs.CL · 2026-05-08 · unverdicted · none · ref 19

    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.

  • StoryAlign: Evaluating and Training Reward Models for Story Generation cs.CL · 2026-05-06 · unverdicted · none · ref 16

    StoryReward, trained on a new 100k story preference dataset, sets state-of-the-art performance on the introduced StoryRMB benchmark for aligning LLM stories with human preferences.