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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “retrieve-and-edit”

A Retrieve-and-Edit Framework for Predicting Structured Outputsstat.ML

A framework that edits existing examples to generate structured outputs.

problem Generating complex outputs like code is hard.

method Retrieve a training example, edit it, and use a computationally efficient retrieval model.

result Retrieve-and-edit framework significantly boosts performance on code and card tasks.

structured outputs code generation retrieve-and-edit sequence-to-sequence retrieval model

2018-12-04abs ↗pdf ↗

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editingcs.LG

MoleculeSTM learns from molecule structures and texts for better drug design.

problem Lack of integration between chemical structures and textual knowledge in AI drug discovery.

method Jointly learns chemical structures and texts via contrastive learning, using a large dataset.

result MoleculeSTM achieves state-of-the-art performance in zero-shot tasks like structure-text retrieval and molecule editing.

MoleculeSTM contrastive learning text-based retrieval molecular editing chemical structures

2022-12-21abs ↗pdf ↗