garamp_qwen25_7b_imp — Question Generation Task

Is this run manual or automatic?: automatic
Is this run based on the provided starter kit?: no
Briefly describe this run: Zero-shot question generation for 30 topics using a fixed system prompt enforcing: ≤300 characters, one question per line, English, ends with “?”, and no compound questions (no “and/and-or”). We produce ~30 candidates per topic, clean/filter them, then select 10 via TF-IDF MMR (α=0.7). Seed=42.
What other datasets or services (e.g. Google/Bing web search, ChatGPT, Perplexity, etc.) were used in producing the run?: None. No web search or external services. Only Hugging Face Transformers and scikit-learn locally.
Briefly describe LLMs used for this run (optional): Instruction-tuned LLM (Qwen2.5-7B-Instruct). Decoding: temperature=0.4, top_p=0.85, do_sample=True, no_repeat_ngram_size=4, repetition_penalty=1.1. TF-IDF cosine similarity + MMR (α=0.7). No training/finetuning.
Please give this run a priority for inclusion in manual assessments.: 1 (top)