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cs.LG2024
Task Agnostic Architecture for Algorithm Induction via Implicit Composition
Sahil J. Sindhi, Ignas Budvytis
Different fields in applied machine learning such as computer vision, speech or natural language processing have been building domain-specialised solutions. Currently, we are witne…
cs.LG2023
Function-constrained Program Synthesis
Patrick Hajali, Ignas Budvytis
This work introduces (1) a technique that allows large language models (LLMs) to leverage user-provided code when solving programming tasks and (2) a method to iteratively generate…