FIELD NOTES TOPIC
bioasq
3 notes, newest first.
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
Researchers present a framework using question-type-specific large language models (LLMs) to improve answer robustness and evidence grounding in biomedical question answering. The framework uses different inference…
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
A study presents a framework for improving the accuracy and reliability of biomedical question answering by using a large language model (LLM) that adapts its inference strategies based on the type of question (yes/no…
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
Researchers have developed a system for answering biomedical questions using large language models (LLMs). The system is designed to improve the robustness of answers by selecting different inference procedures for…
