Exploring Scaling Neural Program Synthesis With Distribution Based Search
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- Денис Ракитин, НИУ ВШЭ The problem of
- Visualizing Examples of Deep
- Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn like humans do: building abstract ...
- Interpretable
- https://arxiv.org/pdf/2305.02309 abstract: Large language models (LLMs) have demonstrated remarkable abilities in ...
In-Depth Information on Scaling Neural Program Synthesis With Distribution Based Search
Talk by Nathanael Fijalkow in the IARCS Verification Seminar Series, on April 5, 2022. More details can be found on the ... Mayur Naik (University of Pennsylvania) https://simons.berkeley.edu/talks/tbd-297 Talk in "Machine Learning for TITLE: Training
Read the paper at https://arxiv.org/abs/2511.03773.
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