Dialectic-Med uses proponent-opponent-mediator agents with visual falsification to enforce grounded diagnostic reasoning in MLLMs, achieving SOTA accuracy and reduced hallucinations on MIMIC-CXR-VQA, VQA-RAD, and PathVQA.
InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 2858–2873, Suzhou, China
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent Debate
Dialectic-Med uses proponent-opponent-mediator agents with visual falsification to enforce grounded diagnostic reasoning in MLLMs, achieving SOTA accuracy and reduced hallucinations on MIMIC-CXR-VQA, VQA-RAD, and PathVQA.