Fine-tuning Llama-3-8b and Mistral-7b-v0.3 on LLM-generated QA pairs from IBM Technotes can improve no-context QA scores over training on human-annotated TechQA data, but the evaluation may be inflated by test-document overlap.
A bert baseline for the natural questions
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
Fine-tuning Llama-3-8b and Mistral-7b-v0.3 on LLM-generated QA pairs from IBM Technotes can improve no-context QA scores over training on human-annotated TechQA data, but the evaluation may be inflated by test-document overlap.