Papers by Akhilesh Gotmare

1 papers
CodeT5+: Open Code Large Language Models for Code Understanding and Generation (2023.emnlp-main)

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Challenge: Existing code LLMs adopt a specific architecture or rely on a unified encoder-decoder network for downstream tasks, lacking flexibility to operate in the optimal architecture for a particular task.
Approach: They propose to initialize code LLMs with frozen off-the-shelf LLM and explore instruction-tuning to align with natural language instructions.
Outcome: The proposed model outperforms open-source LLMs on 20 code-related benchmarks.

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