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20212026
most citedCan LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

87 citations · 152 across the 17 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Jian Yang, Jiajun Zhang, Jiaxi Yang +9

Code completion has become an essential tool for daily software development. Existing evaluation benchmarks often employ static methods that do not fully capture the dynamic nature…

cs.CL2024

Evaluating and Aligning CodeLLMs on Human Preference

Jian Yang, Jiaxi Yang, Ke Jin +7

Code large language models (codeLLMs) have made significant strides in code generation. Most previous code-related benchmarks, which consist of various programming exercises along…

q-bio.BM2024

Predicting Distance matrix with large language models

Jiaxing Yang

Structural prediction has long been considered critical in RNA research, especially following the success of AlphaFold2 in protein studies, which has drawn significant attention to…

cs.CL2024★ 45 cited

Qwen2.5-Coder Technical Report

Binyuan Hui, Jian Yang, Zeyu Cui +21

In this report, we introduce the Qwen2.5-Coder series, a significant upgrade from its predecessor, CodeQwen1.5. This series includes six models: Qwen2.5-Coder-(0.5B/1.5B/3B/7B/14B/…

cs.CL2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs

Jiaxi Yang, Binyuan Hui, Min Yang +3

The capability gap between open-source and closed-source large language models (LLMs) remains a challenge in text-to-SQL tasks. In this paper, we introduce a synthetic data approac…

cs.CL2024★ 1 cited

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

Lei Zhang, Yunshui Li, Jiaming Li +7

Some recently developed code large language models (Code LLMs) have been pre-trained on repository-level code data (Repo-Code LLMs), enabling these models to recognize repository s…

cs.CL2024★ 11 cited

LLMs in Biomedicine: A study on clinical Named Entity Recognition

Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel +4

Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but encounter distinct challenges in biomedical due to the complexities of language and data sc…