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TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
Not provided in the abstract
multi-objective optimizationmaterials discoveryreinforcement learning
2608.23631
Builder Relevance
3h ago70%
Abstract
TRACE introduces a framework for improving multi-objective materials discovery by effectively utilizing feedback from evaluated edits.
Reality Card
Core Claim
TRACE improves the macro-average hit rate for multi-objective materials discovery from 18.13% to 25.96% compared to the state-of-the-art LLM-agent baseline.
Method / Result
Improved macro-average hit rate from 18.13% to 25.96%.
Limitations
The abstract does not specify limitations or reproducibility concerns.
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