Papers with difficulty-controllable generation model
Difficulty-Controllable Cloze Question Distractor Generation (2026.acl-long)
Copied to clipboard
| Challenge: | Existing methods for generating high-quality distractors lack adaptability and control over difficulty levels. |
| Approach: | They propose a two-way distractor generation process to generate plausible distractors using an ensemble QA system and a multitask learning strategy to train a difficulty-controllable generation model. |
| Outcome: | The proposed method significantly outperforms GPT-4o in aligning distractor difficulty with human perception. |