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Prompt-Based Code Completion via Multi-Retrieval Augmented Generation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1109/icse55347.2025.00245openalex-snapshot
LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion
inferredcites →https://doi.org/10.1109/icsme52107.2021.00024openalex-snapshot
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
inferredcites →https://doi.org/10.1109/iwcia47330.2019openalex-snapshot
2019 IEEE 11th International Workshop on Computational Intelligence and Applications (IWCIA)
inferredcites →https://doi.org/10.1145/2254064.2254098openalex-snapshot
Type-directed completion of partial expressions
inferredcites →https://doi.org/10.1145/2491956openalex-snapshot
Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/3533767.3534390openalex-snapshot
An extensive study on pre-trained models for program understanding and generation
inferredcites →https://doi.org/10.1145/3577190.3614137openalex-snapshot
User Feedback-based Online Learning for Intent Classification
inferredcites →https://doi.org/10.1145/3586183.3606763openalex-snapshot
Generative Agents: Interactive Simulacra of Human Behavior
inferredcites →https://doi.org/10.1145/3597503.3639100openalex-snapshot
BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching
inferredcites →https://doi.org/10.1145/3600006.3613165openalex-snapshot
Efficient Memory Management for Large Language Model Serving with PagedAttention
inferredcites →https://doi.org/10.1145/3611643.3616280openalex-snapshot
How Practitioners Expect Code Completion?
inferredcites →https://doi.org/10.1145/3650212.3652130openalex-snapshot
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion
inferredcites →https://doi.org/10.1145/3691620.3695054openalex-snapshot
GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph
inferredcites →https://doi.org/10.1145/3714462openalex-snapshot
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
inferredcites →https://doi.org/10.1561/1500000019openalex-snapshot
The Probabilistic Relevance Framework: BM25 and Beyond
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.6openalex-snapshot
Transformers: State-of-the-Art Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/p17-1openalex-snapshot
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
inferredcites →https://doi.org/10.48550/arxiv.2005.11401openalex-snapshot
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106374openalex-snapshot
Advancing BIM information retrieval with an LLM-based query-domain-specific language and library code function alignment system
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111554openalex-snapshot
Dual-direction retrieval-augmented generation and prompt engineering for application risk assessment and CVE vulnerability mapping
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100979openalex-snapshot
A comprehensive survey of prompt engineering and context engineering techniques in large language models
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109178openalex-snapshot
Large language model augmented framework with domain-specific knowledge integration for medical named entity recognition
inferred← citeshttps://doi.org/10.1109/asew67777.2025.00032openalex-snapshot
Pre-Filtering Code Suggestions using Developer Behavioral Telemetry to Optimize LLM-Assisted Programming
inferred← citeshttps://doi.org/10.1109/icecai62591.2024.10674962openalex-snapshot
Enhancing the RAG Retrieval Engine Through Multi-Encoder Fusion
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00028openalex-snapshot
Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/llm4code66737.2025.00026openalex-snapshot
Knowledge Graph Based Repository-Level Code Generation
inferred← citeshttps://doi.org/10.1145/3797261openalex-snapshot
Towards an Understanding of Context Utilization in Code Intelligence
inferred← citeshttps://doi.org/10.1145/3832299openalex-snapshot
Silence of Commit Messages: An Empirical Study for Vulnerability Commit Message Generation using Large Language Models
inferred← citeshttps://doi.org/10.3390/s25092913openalex-snapshot
Large Language Model-Powered Protected Interface Evasion: Automated Discovery of Broken Access Control Vulnerabilities in Internet of Things Devices
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