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Toxic content detection is crucial for online services to remove inappropriate content that violates community standards.
Social bias frames: Reasoning about social and power implications of language
Sap, M.; Gabriel, S.; Qin, L.; Jurafsky, D.; Smith, N. A.; and Choi, Y. 2019 · 1911
Earlier work this paper cites.
Hatebert: Retraining bert for abusive language detection in english
Caselli, T.; Basile, V.; Mitrović, J.; and Granitzer, M. 2020 · 2010
Earlier work this paper cites.
Learning from the worst: Dynamically generated datasets to improve online hate detection
Vidgen, B.; Thrush, T.; Waseem, Z.; and Kiela, D. 2020 · 2012
Earlier work this paper cites.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reimers, N.; and Gurevych, I. 2019 · 2019
Earlier work this paper cites.
What Makes Good In-Context Examples for GPT- 3 3 ?
Liu, J.; Shen, D.; Zhang, Y.; Dolan, B.; Carin, L.; and Chen, W. 2021 · 2021
Earlier work this paper cites.
Scaling instruction-finetuned language models
Chung, H. W.; Hou, L.; Longpre, S.; Zoph, B.; Tay, Y.; Fedus, W.; Li, E.; Wang, X.; Dehghani, M.; Brahma, S.; et al. 2022 · 2022
Earlier work this paper cites.
Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection
Hartvigsen, T.; Gabriel, S.; Palangi, H.; Sap, M.; Ray, D.; and Kamar, E. 2022 · 2022
Earlier work this paper cites.
Generalizable implicit hate speech detection using contrastive learning
Kim, Y.; Park, S.; and Han, Y.-S. 2022 · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Kojima, T.; Gu, S. S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y. 2022 · 2022
Earlier work this paper cites.
Teaching small language models to reason
Magister, L. C.; Mallinson, J.; Adamek, J.; Malmi, E.; and Severyn, A. 2022 · 2022
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Recitation-augmented language models
Sun, Z.; Wang, X.; Tay, Y.; Yang, Y.; and Zhou, D. 2022 · 2022
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Toxicity detection with generative prompt-based inference
Wang, Y.-S.; and Chang, Y. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Xia, F.; Chi, E.; Le, Q. V.; Zhou, D.; et al. 2022 · 2022
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Falcon-40B: an open large language model with state-of-the-art performance
Almazrouei, E.; Alobeidli, H.; Alshamsi, A.; Cappelli, A.; Cojocaru, R.; Debbah, M.; Goffinet, E.; Heslow, D.; Launay, J.; Malartic, Q.; Noune, B.; Pannier, B.; and Penedo, G. 2023 · 2023
Llama: Open and efficient foundation language models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; et al. 2023 · 2023
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SCOTT: Self-consistent chain-of-thought distillation
Wang, P.; Wang, Z.; Li, Z.; Gao, Y.; Yin, B.; and Ren, X. 2023 · 2023
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Wang, X.; Zhu, W.; and Wang, W. Y. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Yao, S.; Yu, D.; Zhao, J.; Shafran, I.; Griffiths, T. L.; Cao, Y.; and Narasimhan, K. 2023 · 2023
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ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Chen, W.-L.; Yen, A.-Z.; Huang, H.-H.; Wu, C.-K.; and Chen, H.-H. 2023 · 2023
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Hsieh, C.-Y.; Li, C.-L.; Yeh, C.-K.; Nakhost, H.; Fujii, Y.; Ratner, A.; Krishna, R.; Lee, C.-Y.; and Pfister, T. 2023 · 2023
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SAIL: Search-Augmented Instruction Learning
Luo, H.; Chuang, Y.-S.; Gong, Y.; Zhang, T.; Kim, Y.; Wu, X.; Fox, D.; Meng, H.; and Glass, J. 2023 · 2023
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ChatGPT: get instant answers, find creative inspiration, and learn something new
OpenAI. 2023 · 2023
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Pinto: Faithful language reasoning using prompt-generated rationales
Wang, P.; Chan, A.; Ilievski, F.; Chen, M.; and Ren, X. 2022a
Cited in the paper.
Self-consistency improves chain of thought reasoning in language models
Wang, X.; Wei, J.; Schuurmans, D.; Le, Q.; Chi, E.; Narang, S.; Chowdhery, A.; and Zhou, D. 2022b
Cited in the paper.
Ye, Y.; Le, T.; and Lee, D. 2023 · 2023
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Interpretable unified language checking
Zhang, T.; Luo, H.; Chuang, Y.-S.; Fang, W.; Gaitskell, L.; Hartvigsen, T.; Wu, X.; Fox, D.; Meng, H.; and Glass, J. 2023 · 2023
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A survey of large language models
Zhao, W. X.; Zhou, K.; Li, J.; Tang, T.; Wang, X.; Hou, Y.; Min, Y.; Zhang, B.; Zhang, J.; Dong, Z.; et al. 2023 · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Zheng, L.; Chiang, W.-L.; Sheng, Y.; Zhuang, S.; Wu, Z.; Zhuang, Y.; Lin, Z.; Li, Z.; Li, D.; Xing, E. P.; Zhang, H.; Gonzalez, J. E.; and Stoica, I. 2023 · 2023
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