From 4ab7c28012c29109d18dcde86b20a8ca555aa3ae Mon Sep 17 00:00:00 2001 From: Zhehao Zhang <79521474+zzh-SJTU@users.noreply.github.com> Date: Sun, 13 Oct 2024 11:04:13 -0400 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6a27066..78fd4c7 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # 🌟 DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph 🌟 ![Project Banner](https://github.com/SALT-NLP/DARG/blob/main/assets/framework.png) -πŸš€ This is the official code for the paper titled [DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph](https://arxiv.org/abs/2406.17271). This project aims to dynamically augment current LLM benchmarks through internal reasoning graph interpolation with fine-grained complexity control, addressing issues such as data contamination and the benchmarks' inability to adapt to LLMs' ever-evolving capabilities. +πŸš€ This is the official code for the NeurIPS 2024 paper titled [DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph](https://arxiv.org/abs/2406.17271). This project aims to dynamically augment current LLM benchmarks through internal reasoning graph interpolation with fine-grained complexity control, addressing issues such as data contamination and the benchmarks' inability to adapt to LLMs' ever-evolving capabilities. Authors: [Zhehao Zhang](https://zzh-sjtu.github.io/zhehaozhang.github.io/), [Jiaao Chen](https://cs.stanford.edu/people/jiaaoc/), [Diyi Yang](https://cs.stanford.edu/~diyiy/), πŸ‘©β€πŸ’ΌπŸ‘¨β€πŸ’Ό @@ -93,4 +93,4 @@ If you find our work useful or it contributes to your research, please cite our primaryClass={cs.CL} url={https://arxiv.org/abs/2406.17271}, } -``` \ No newline at end of file +```