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Found 6 papers, 3 papers with code
Entity Disambiguation via Fusion Entity Decoding
Existing generative approaches demonstrate improved accuracy compared to classification approaches under the standardized ZELDA benchmark.
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MambaByte: Token-free Selective State Space Model
We propose MambaByte, a token-free adaptation of the Mamba SSM trained autoregressively on byte sequences.
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Join order selection (JOS) is the problem of ordering join operations to minimize total query execution cost and it is the core NP-hard combinatorial optimization problem of query optimization.
Pretraining Without Attention
Even so, BiGS is able to match BERT pretraining accuracy on GLUE and can be extended to long-form pretraining of 4096 tokens without approximation.
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
In black-box optimization problems, we aim to maximize an unknown objective function, where the function is only accessible through feedbacks of an evaluation or simulation oracle.
A Hybrid Solution to improve Iteration Efficiency in the Distributed Learning
Currently, many machine learning algorithms contain lots of iterations.
