LLM translations introduce model-specific statistically significant emotional fingerprints that limit preservation of author voice, with post-editing providing partial alignment to human norms.
arXiv preprint arXiv:2505.17241 , year=
3 Pith papers cite this work, alongside 11 external citations. Polarity classification is still indexing.
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IDEAFix is an evaluation framework that varies task attributes and defixation prompts in LLM idea generation, showing task formulation affects performance while simple prompts boost originality but homogenization persists.
Meta-analysis of 23 studies shows moderate productivity gains from GenAI coding assistants (Hedges' g=0.33) but no significant effect on learning (g=0.14).
citing papers explorer
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Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing
LLM translations introduce model-specific statistically significant emotional fingerprints that limit preservation of author voice, with post-editing providing partial alignment to human norms.
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IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
IDEAFix is an evaluation framework that varies task attributes and defixation prompts in LLM idea generation, showing task formulation affects performance while simple prompts boost originality but homogenization persists.
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A meta-analysis of the effect of generative AI on productivity and learning in programming
Meta-analysis of 23 studies shows moderate productivity gains from GenAI coding assistants (Hedges' g=0.33) but no significant effect on learning (g=0.14).