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Transforming human expertise into reusable GUI-agent skills could revolutionize how digital workflows are automated in specialized domains.
Bidirectional temporal alignment boosts climate data super-resolution, achieving superior performance by capturing implicit temporal correlations often ignored in existing models.
TS-RAG redefines time series forecasting by effectively merging input data with retrieved sequences, leading to unprecedented accuracy improvements.
LLMs can complete office tasks faster and cheaper than humans, but they still lag in quality, highlighting a critical gap in AI performance.
MemNovo rebalances peptide and spectral contributions during decoding, leading to up to 39.1% improvement in peptide precision without additional computational costs.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
