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ANPL: Towards Natural Programming with Interactive Decomposition Di Huang

Neural Information Processing Systems

Though LLMs are capable of generating plausible programs, it's challenging to interact with the LLMs further to revise the program, especially if the user's specific requirements are different from the initial proposal.




xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Neural Information Processing Systems

Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level. The amount of publicly available single-cell RNA-seq (scRNA-seq) data is already surpassing 50M records for humans with each record measuring 20,000 genes.