activity
20202026
most citedCodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

243 citations · 438 across the 54 of their papers we have counts for

collaborators
Showing cs.SEShow all

6 papers · 1 filter

cs.SE2025

SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization

Revanth Gangi Reddy, Ye Liu, Wenting Zhao +7

Maintaining large-scale, multilingual codebases hinges on accurately localizing issues, which requires mapping natural-language error descriptions to the relevant functions that ne…

cs.SE2025★ 1 cited

SweRank: Software Issue Localization with Code Ranking

Revanth Gangi Reddy, Tarun Suresh, JaeHyeok Doo +7

Software issue localization, the task of identifying the precise code locations (files, classes, or functions) relevant to a natural language issue description (e.g., bug report, f…

cs.SE2025

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification

Jiacheng Xu, Bo Pang, Jin Qu +3

Software testing is a critical aspect of software development, yet generating test cases remains a routine task for engineers. This paper presents a benchmark, CLOVER, to evaluate…

cs.SE2024★ 1 cited

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Ye Liu, Rui Meng, Shafiq Joty +4

Despite the success of text retrieval in many NLP tasks, code retrieval remains a largely underexplored area. Most text retrieval systems are tailored for natural language queries,…

cs.SE2024★ 1 cited

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Kexun Zhang, Weiran Yao, Zuxin Liu +13

Large language model (LLM) agents have shown great potential in solving real-world software engineering (SWE) problems. The most advanced open-source SWE agent can resolve over 27%…

cs.SE2024

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

Hung Le, Yingbo Zhou, Caiming Xiong +2

Large language models (LLMs) for code are typically trained to align with natural language instructions to closely follow their intentions and requirements. However, in many practi…