Search Results for author: Akhilesh Deepak Gotmare

Found 6 papers, 5 papers with code

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

1 code implementation31 May 2023 Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi

In this paper, we present CodeTF, an open-source Transformer-based library for state-of-the-art Code LLMs and code intelligence.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

1 code implementation13 May 2023 Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

To address these limitations, we propose ``CodeT5+'', a family of encoder-decoder LLMs for code in which component modules can be flexibly combined to suit a wide range of downstream code tasks.

Arithmetic Reasoning Code Completion +4

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

2 code implementations5 Jul 2022 Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi

To address the limitations, we propose "CodeRL", a new framework for program synthesis tasks through pretrained LMs and deep reinforcement learning (RL).

Code Generation Program Synthesis +2

Cascaded Fast and Slow Models for Efficient Semantic Code Search

no code implementations15 Oct 2021 Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi

The goal of natural language semantic code search is to retrieve a semantically relevant code snippet from a fixed set of candidates using a natural language query.

Code Search Re-Ranking +1

GeDi: Generative Discriminator Guided Sequence Generation

3 code implementations Findings (EMNLP) 2021 Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty, Richard Socher, Nazneen Fatema Rajani

While large-scale language models (LMs) are able to imitate the distribution of natural language well enough to generate realistic text, it is difficult to control which regions of the distribution they generate.

Attribute Linguistic Acceptability +1

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