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Achieving an average binding score of -8.85 kcal/mol, conDitar-dev not only excels in binding affinity but also optimizes for critical drug developability properties, setting a new standard in computational drug design.
Goal-oriented dialogue agents can achieve higher success rates with fewer turns by explicitly planning to reduce uncertainty about user intent.
