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Advait Deshmukh

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#natural language process... Preprint Sep 2026

The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation

This work builds a framework of edit types crossing four directions that model how users iteratively edit base story prompts and explore branching story possibilities and shows how automated permutations based on the framework can be used for story generation benchmarking.

Advait Deshmukh, N. Benedict, Melanie Walsh et al. · 0 citations
#natural language process... Conference Open access Oct 2024

All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing

This work proposes a novel heuristic to approximate the pre-training distribution of entities when the pre-training data is unknown, and demonstrates that entity-typing approaches that rely solely on the parametric knowledge of PLMs struggle significantly with entities at the long tail of the pre-training distribution.

Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas et al. · 4 citations

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