arXiv research summaries for Computation and Language from November 11, 2023. You can find summaries and links to each article here.
Today's research themes (AI summary)
- Improving language model performance on out-of-distribution data through techniques like counterfactual data augmentation.
- Mitigating language model bias and toxicity at inference time without impacting translation quality.
- Using prompts and demonstrations to enable few-shot learning for tasks like event extraction and question answering.
- Analyzing model robustness through frameworks to systematically test perturbations and model variations.
- Leveraging cross-lingual retrieval to improve multilingual model zero-shot performance.
