A prompt-only multi-agent LLM system claims to fuse video, image, table, and text data for materials-science questions, reporting 85% recall and 35% coverage gains, but with unverifiable evaluation.
Matagent: A human-in- the-loop multi-agent llm framework for accelerating the ma- terial science discovery cycle
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
cond-mat.mtrl-sci 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data
A prompt-only multi-agent LLM system claims to fuse video, image, table, and text data for materials-science questions, reporting 85% recall and 35% coverage gains, but with unverifiable evaluation.