Search Results for author: Zhengran Zeng

Found 4 papers, 3 papers with code

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models

1 code implementation9 Apr 2024 Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang

The rapid development of large language model (LLM) evaluation methodologies and datasets has led to a profound challenge: integrating state-of-the-art evaluation techniques cost-effectively while ensuring reliability, reproducibility, and efficiency.

Fairness Language Modelling +1

CodeShell Technical Report

no code implementations23 Mar 2024 Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye

Through this process, We have curated 100 billion high-quality pre-training data from GitHub.

8k HumanEval

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

2 code implementations8 Jun 2023 Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

To ensure the reliability of PandaLM, we collect a diverse human-annotated test dataset, where all contexts are generated by humans and labels are aligned with human preferences.

Language Modelling Large Language Model

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