A two-stage LLM pipeline that selects key sentences from gene literature via GO annotations and fine-tunes Gemma-7B to generate gene summaries, reporting large ROUGE gains that may be inflated by training/evaluation overlap.
Expert knowledge-guided length-variant hierarchical label generation for pro- posal classification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.GN 1years
2024 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
GeneSUM: Large Language Model-based Gene Summary Extraction
A two-stage LLM pipeline that selects key sentences from gene literature via GO annotations and fine-tunes Gemma-7B to generate gene summaries, reporting large ROUGE gains that may be inflated by training/evaluation overlap.