Update references in README.md

Added paper "Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment"

README.md

@@ -750,7 +750,7 @@ Please click [here](Experiments/README.md) to view more detailed information.
 1. **"Scaling Laws for Reward Model Overoptimization"**. *Leo Gao et al*. arXiv 2022. [[Paper](https://arxiv.org/abs/2210.10760)]
 1. **"The Wisdom of Hindsight Makes Language Models Better Instruction Followers"**. *Tianjun Zhang et al*. arXiv 2023. [[Paper](https://arxiv.org/abs/2302.05206)]
 1. **"RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment"**. *Hanze Dong et al*. arXiv 2023. [[Paper](https://arxiv.org/abs/2304.06767)]
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+1. **"Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment"**. *Rishabh Bhardwaj et al*. arXiv 2023. [[Paper](https://arxiv.org/abs/2308.09662)]
 
 #### Parameter-Efficient Model Adaptation
 1. **"Parameter-Efficient Transfer Learning for NLP"**. *Neil Houlsby et al*. ICML 2019. [[Paper](https://arxiv.org/abs/1902.00751)] [[GitHub](https://github.com/google-research/adapter-bert)]
@@ -957,6 +957,7 @@ Please click [here](Experiments/README.md) to view more detailed information.
 84. **"Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity"**. *Terry Yue Zhuo et al.* arXiv 2023. [[Paper](https://arxiv.org/abs/2301.12867)]
 85. **"On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex"**. *Terry Yue Zhuo et al.* EACL 2023. [[Paper](https://arxiv.org/abs/2301.12868)]
 86. **"A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets"**. Laskar et al.* ACL'23. [[Paper]](https://arxiv.org/abs/2305.18486)
+87. **"Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment"**. *Rishabh Bhardwaj et al*. arXiv 2023. [[Paper](https://arxiv.org/abs/2308.09662)]
 
 ### The Team