cru-ablR-LSR- — Report Generation Task

Document collection: ['English subset', 'Arabic subset', 'Chinese subset', 'Russian subset']
Machine translation of documents: ['Yes we used the organizer-provided machine translations']
Write a short description of your retrieval process: See below
Write a short description of your generation process: Crucible@ragtime Original run tag: strict-filtered-covered-covextr-crucible-ranking-plaidx_svc-ragtime-test_t+ps_lsr-ragtime.run-SupportedAnswerabilityExtractorRequest Answerability prompt. Retrieving docs with multi-level LSR. Crucible report generation. Guiding nuggets: plaidx_svc Document source: nugget citations. Nugget extraction prompt 'SupportedAnswerExtractorAll' on collection "ragtime-mt" LLM: llama3.3-70b-instruct Sentences retained when citations supported, at least one nugget covers the summary sentence, at least one nugget covers extractive document segment according to argue_eval. Using abstractive summarization Only retain sentences that have extraction confidence value >= 0.5, are not already selected (according to stopped and stemmed match), do not contain the expression 'source document' For each nugget, among remaining sentence candidates, select the sentence with highest extraction confidence. Chop to 2000 characters. Created on 2025-08-20
Which LLM(s) where used by your system?: Llama-3.3-70B Instruct (70B)
Open repository link: https://github.com/laura-dietz/scale25-crucible/releases/tag/ragtime25-submission
Assessing priority: 8