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Instruction-Tuning-Papers
cross-task-generalization

Instruction-Tuning-Papers

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

by SinclairCoder · GitHub
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cross-task-generalizationgeneralizationinstruction
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Explore a collection of research papers on teaching language models to follow instructions better across various tasks.

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2026-07-202026-08-31
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Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

Instruction-Tuning-Papers has 767 stars on GitHub. It has been forked 23 times. It has been in active development since 2022. Its main topics are cross-task-generalization, generalization, instruction, instruction-following.

Frequently asked questions

What is Instruction-Tuning-Papers?

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

Is Instruction-Tuning-Papers open source?

Instruction-Tuning-Papers is an open-source project.

Is Instruction-Tuning-Papers free?

Yes. Instruction-Tuning-Papers is free and open source — you can use, modify and self-host it.

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