Papers with data-centric analysis
Early Guessing for Dialect Identification (2022.findings-emnlp)
Copied to clipboard
| Challenge: | Current research on dialect identification is model-centric, focusing on performance. |
| Approach: | They propose a data-centric approach to find the shortest input needed to make a plausible guess. |
| Outcome: | The proposed method generalizes across dialects and datasets with two shortening criteria. |
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration (2023.emnlp-main)
Copied to clipboard
| Challenge: | Existing data for instruction-tuning are inadequate for a wide range of tasks, limiting the scope for nuanced comprehension and interactions within these domains. |
| Approach: | They propose to use Large Language Models to explore a multitude of variations or possibilities to improve instruction-tuning data by active exploration. |
| Outcome: | The proposed approach improves domain-specific instruction coverage and shows significant improvements over baselines. |