🔗 Who cites «Bot-Adversarial Dialogue for Safe Conversational Agents»

76 papers of our library cite it (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Bot-Adversarial Dialogue for Safe Conversational Agents»

1. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,720 citations
2. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,326 citations
   Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
3. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 460 citations
4. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 392 citations
   BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
5. Improving alignment of dialogue agents via targeted human judgementsarXiv:2209.14375Amelia Glaese, Nat McAleese, Maja Trębacz, et al.2022 · 352 citations
6. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
   “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 165 citations
   ProsocialDialog: A Prosocial Backbone for Conversational AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 150 citations
   The Moral Integrity Corpus: A Benchmark for Ethical Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Caleb Ziems, Jane A. Yu, Yi-Chia Wang, et al.2022 · 121 citations
7. Fundamental Limitations of Alignment in Large Language ModelsarXiv:2304.11082Yotam Wolf, Noam Wies, Oshri Avnery, et al.2023 · 110 citations
   On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations

63 more papers of our library cite it; they have no page here yet.

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