A new framework creates difficulty-controllable distractors for cloze questions via two-way generation, ensemble QA labeling, and multitask training, outperforming GPT-4o on human-aligned difficulty.
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A survey reviewing benchmark data contamination in LLMs, its impact on evaluation, and alternative assessment approaches.
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Difficulty-Controllable Cloze Question Distractor Generation
A new framework creates difficulty-controllable distractors for cloze questions via two-way generation, ensemble QA labeling, and multitask training, outperforming GPT-4o on human-aligned difficulty.
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Benchmark Data Contamination of Large Language Models: A Survey
A survey reviewing benchmark data contamination in LLMs, its impact on evaluation, and alternative assessment approaches.