Search Results for author: Jingyi Ren

Found 5 papers, 1 papers with code

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering

1 code implementation19 Dec 2024 Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao

In this work, we introduce CodeRepoQA, a large-scale benchmark specifically designed for evaluating repository-level question-answering capabilities in the field of software engineering.

Question Answering

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production

no code implementations11 Dec 2024 Xiaoyun Liang, Jingyi Ren, Jiayi Qi, Chao Peng, Bo Jiang

Large Language Models (LLMs) have become increasingly integral to enhancing developer productivity, particularly in code generation, comprehension, and repair tasks.

Code Generation Question Answering

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

no code implementations5 May 2024 Junkai Li, Yunghwei Lai, Weitao Li, Jingyi Ren, Meng Zhang, Xinhui Kang, Siyu Wang, Peng Li, Ya-Qin Zhang, Weizhi Ma, Yang Liu

The recent rapid development of large language models (LLMs) has sparked a new wave of technological revolution in medical artificial intelligence (AI).

MedQA Question Answering

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

no code implementations18 Mar 2022 Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum

For decades, these knowledge graphs have been developed via expert curation; however, this method can no longer keep up with today's AI development, and a transition to algorithmically generated BioMedKGs is necessary.

BIG-bench Machine Learning Knowledge Graphs +3

Cannot find the paper you are looking for? You can Submit a new open access paper.