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Benchmark gains in LLMs can be misleading, as they may reflect improved reachability rather than true capability expansion, with significant implications for performance evaluation.
ABOPD achieves a remarkable 0.42 脜 reduction in RMSD for antibody CDR design, setting a new standard for structural fidelity in protein generation.
Learnable spectral positional encodings can achieve gauge invariance and outperform traditional methods, converging to optimal solutions in directed graph settings.