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G2D boosts zero-shot image classification accuracy by up to 27.42 percentage points by effectively combining generative verification with discriminative retrieval.
Achieving coupled-cluster accuracy for molecular properties with the computational cost of a single DFT calculation could revolutionize molecular modeling in chemistry.
CodeSpec transforms feature development by ensuring that LLM-based code agents produce reliable and verifiable functional chains, achieving up to 70.7% pass rates on complex benchmarks.
