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researcher

Emmanuelle Salin

4 papers hereh-index 375 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedMasked ELMo: An evolution of ELMo towards fully contextual RNN language models

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CL2026

How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling

Katrin Rohrbacher, Björn Nieth, Emmanuelle Salin +2

In this paper, we analyze how Large Language Models (LLMs) employ worldbuilding strategies, focusing on setting as one measurable dimension of storyworld construction. We compare 1…

cs.CL2026

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework

Björn Nieth, Marianna Gracheva, Michaela Mahlberg +2

While factual correctness and task-performance have been in focus of Large Language Model (LLM) research for a long time, the fundamental question of how human-like generated texts…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.