Aug 30, 2024 · Our methodology enhances code com- pletion by combining structural candidate information from LR parsing with LLMs. These structural candidates.

Programmers often use syntax completion and code suggestion features. Our methodology enhances code completion by combining structural candidate information ...

Dive into the research topics of 'Improving LLM-based Code Completion Using LR Parsing-Based Candidates'. Together they form a unique fingerprint. Sort by ...

Improving LLM-based code completion using LR parsing-based candidates. SCSS ... A text-based syntax completion method using LR parsing and its evaluation.

Our methodology enhances code completion by combining LR parsing based structural candidate information with LLMs. These structural candidates are utilized to ...

Improving LLM-based Code Completion Using LR Parsing-Based Candidates. MMAB Atique, K Choi, I Sasano, HA Moon. CEUR Workshop Proceedings 3754, 1-6, 2024. 2024 ...

Sep 2, 2024 · Improving LLM-based code completion using LR parsing-based candidates 1-6. Md Monir Ahammod Bin Atique, Kwanghoon Choi, Isao Sasano, Hyeon-Ah ...

This paper presents a text-based syntax completion method that uses an LR parser. We propose formal definitions of candidate text to be completed based on the ...

Mar 3, 2024 · We present SynCode a novel framework for efficient and general syntactical decoding of code with large language models (LLMs).

Md Monir Ahammod Bin Atique, Kwanghoon Choi, Isao Sasano and Hyeon-Ah Moon, Improving LLM-based Code Completion Using LR Parsing-Based Candidates (Work-in ...