Lost in Translation: Measuring the Effect of Non-Native English on End User Performance of Large Language Models
cs.CL
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/languagetool-org/languagetool
Terminology
Sources
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
- Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
- Does Prompt Formatting Have Any Impact on LLM Performance?
- Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
- AI-Assisted Writing Is Growing Fastest Among Non-English-Speaking and Less Established Scientists
- Effects of Prompt Length on Domain-specific Tasks for Large Language Models
- Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers
- Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
- WildChat: 1M ChatGPT Interaction Logs in the Wild
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