Search papers, labs, and topics across Lattice.
Affiliation:
4
0
6
7
Traditional relevance proxies fail on hard negatives, but a new causal measurement approach reveals how to allocate context for up to 20.5% better recall in generative search.
Stop ignoring the future: adaptively weighting future user interactions during training can significantly boost sequential recommendation accuracy.
Forget sifting through walls of text – now you can pinpoint exactly where the AI found its answer, down to the pixel, even in complex visuals like charts and diagrams.
Parameter importance isn't forever: dynamically adapting which parameters are frozen during fine-tuning significantly improves generalization and reduces forgetting in LLMs.
