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The proliferation of hate speech (HS) on social media poses a serious threat to societal security.
A tutorial on energy-based learning,
Y. LeCun, S. Chopra, R. Hadsell, M. Ranzato, F. Huang, et al., · 2006
Earlier work this paper cites.
The probabilistic relevance framework: Bm25 and beyond,
S. Robertson, H. Zaragoza, et al., · 2009
Earlier work this paper cites.
Governing hate speech by means of counterspeech on facebook,
C. Schieb, M. Preuss, · 2016
Earlier work this paper cites.
Semeval-2016 task 6: Detecting stance in tweets,
S. Mohammad, S. Kiritchenko, P. Sobhani, X. Zhu, C. Cherry, · 2016
Earlier work this paper cites.
Sentigan: generating sentimental texts via mixture adversarial networks,
K. Wang, X. Wan, · 2018
Earlier work this paper cites.
Hatred behind the screens: A report on the rise of online hate speech (2019)
M. Williams, · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners,
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever, et al., · 2019
Earlier work this paper cites.
Thou shalt not hate: Countering online hate speech,
B. Mathew, P. Saha, H. Tharad, S. Rajgaria, P. Singhania, S. K. Maity, P. Goyal, A. Mukherjee, · 2019
Earlier work this paper cites.
A benchmark dataset for learning to intervene in online hate speech,
J. Qian, A. Bethke, Y. Liu, E. Belding, W. Y. Wang, · 2019
Earlier work this paper cites.
Conan-counter narratives through nichesourcing: a multilingual dataset of responses to fight online hate speech,
Y.-L. Chung, E. Kuzmenko, S. S. Tekiroglu, M. Guerini, · 2019
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding,
J. D. M.-W. C. Kenton, L. K. Toutanova, · 2019
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach,
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, V. Stoyanov, · 2019
Earlier work this paper cites.
Hate begets hate: A temporal study of hate speech,
B. Mathew, A. Illendula, P. Saha, S. Sarkar, P. Goyal, A. Mukherjee, · 2020
Earlier work this paper cites.
Italian counter narrative generation to fight online hate speech.,
Y.-L. Chung, S. S. Tekiroglu, M. Guerini, · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer,
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, P. J. Liu, · 2020
Earlier work this paper cites.
Generating counter narratives against online hate speech: Data and strategies,
S. S. Tekiroğlu, Y.-L. Chung, M. Guerini, · 2020
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering,
V. Karpukhin, B. Oguz, S. Min, P. Lewis, L. Wu, S. Edunov, D. Chen, W.-t. Yih, · 2020
Earlier work this paper cites.
Dialogpt: Large-scale generative pre-training for conversational response generation,
Y. Zhang, S. Sun, M. Galley, Y.-C. Chen, C. Brockett, X. Gao, J. Gao, J. Liu, W. B. Dolan, · 2020
Earlier work this paper cites.
Realtoxicityprompts: Evaluating neural toxic degeneration in language models,
S. Gehman, S. Gururangan, M. Sap, Y. Choi, N. A. Smith, · 2020
Earlier work this paper cites.
Gruen for evaluating linguistic quality of generated text,
W. Zhu, S. Bhat, · 2020
Earlier work this paper cites.
Zero-shot stance detection: A dataset and model using generalized topic representations,
E. Allaway, K. Mckeown, · 2020
Earlier work this paper cites.
Human-in-the-loop for data collection: a multi-target counter narrative dataset to fight online hate speech,
M. Fanton, H. Bonaldi, S. S. Tekiroğlu, M. Guerini, · 2021
Cited alongside, same era.
Towards knowledge-grounded counter narrative generation for hate speech,
Y.-L. Chung, S. S. Tekiroğlu, M. Guerini, · 2021
Cited alongside, same era.
Generate, prune, select: A pipeline for counterspeech generation against online hate speech,
W. Zhu, S. Bhat, · 2021
Cited alongside, same era.
Neural machine translation with monolingual translation memory,
D. Cai, Y. Wang, H. Li, W. Lam, L. Liu, · 2021
Cited alongside, same era.
Simcse: Simple contrastive learning of sentence embeddings,
T. Gao, X. Yao, D. Chen, · 2021
Cited alongside, same era.
Does aggression lead to hate? detecting and reasoning offensive traits in hinglish code-mixed texts,
Llama 2: Open foundation and fine-tuned chat models,
H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, S. Batra, P. Bhargava, S. Bhosale, et al., · 2023
Closest in time.
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering,
S. Siriwardhana, R. Weerasekera, E. Wen, T. Kaluarachchi, R. Rana, S. Nanayakkara, · 2023
Closest in time.
Docprompting: Generating code by retrieving the docs,
S. Zhou, U. Alon, F. F. Xu, Z. Wang, Z. Jiang, G. Neubig, · 2023
Closest in time.
Universal information extraction with meta-pretrained self-retrieval,
X. Cong, B. Yu, M. Fang, T. Liu, H. Yu, Z. Hu, F. Huang, Y. Li, B. Wang, · 2023
Closest in time.
Dialog generation model based on variational bayesian knowledge retrieval method,
C. Liu, B. Wang, Y. Li, · 2023
Closest in time.
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A. Sengupta, S. K. Bhattacharjee, M. S. Akhtar, T. Chakraborty, · 2022
Cited alongside, same era.
Using pre-trained language models for producing counter narratives against hate speech: a comparative study,
S. Tekiroglu, H. Bonaldi, M. Fanton, M. Guerini, · 2022
Cited alongside, same era.
Towards automatic generation of messages countering online hate speech and microaggressions,
M. Ashida, M. Komachi, · 2022
Cited alongside, same era.
Improving generalization of hate speech detection systems to novel target groups via domain adaptation,
F. Ludwig, K. Dolos, T. Zesch, E. Hobley, · 2022
Cited alongside, same era.
OenAI, Gpt-3.5 turbo, https://platform.openai.com/docs/models/gpt-3-5 , 2022
2022
Cited alongside, same era.
Hate speech and counter speech detection: Conversational context does matter,
X. Yu, E. Blanco, L. Hong, · 2022
Cited alongside, same era.
Human-machine collaboration approaches to build a dialogue dataset for hate speech countering,
H. Bonaldi, S. Dellantonio, S. S. Tekiroglu, M. Guerini, et al., · 2022
Cited alongside, same era.
T. Ye, L. Wu, T. Ma, X. Zhang, Y. Du, P. Liu, W. Wang, S. Ji, · 2023
Closest in time.
Aggretriever: A simple approach to aggregate textual representations for robust dense passage retrieval,
S.-C. Lin, M. Li, J. Lin, · 2023
Closest in time.
Contextual masked auto-encoder for dense passage retrieval,
X. Wu, G. Ma, M. Lin, Z. Lin, Z. Wang, S. Hu, · 2023
Closest in time.
C-STS: Conditional semantic textual similarity,
A. Deshpande, C. Jimenez, H. Chen, V. Murahari, V. Graf, T. Rajpurohit, A. Kalyan, D. Chen, K. Narasimhan, · 2023
Closest in time.
Retrieve-and-sample: Document-level event argument extraction via hybrid retrieval augmentation,
Y. Ren, Y. Cao, P. Guo, F. Fang, W. Ma, Z. Lin, · 2023
Closest in time.
Promptagator: Few-shot dense retrieval from 8 examples,
Z. Dai, V. Y. Zhao, J. Ma, Y. Luan, J. Ni, J. Lu, A. Bakalov, K. Guu, K. Hall, M.-W. Chang, · 2023
Closest in time.
What makes good counterspeech? a comparison of generation approaches and evaluation metrics,
Y. Zheng, B. Ross, W. Magdy, · 2023
Closest in time.
Can large language models be an alternative to human evaluations?,
C.-H. Chiang, H.-y. Lee, · 2023
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A first look at toxicity injection attacks on open-domain chatbots,
C. Weeks, A. Cheruvu, S. M. Abdullah, S. Kanchi, D. Yao, B. Viswanath, · 2023
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Harnessing the power of llms in practice: A survey on chatgpt and beyond,
J. Yang, H. Jin, R. Tang, X. Han, Q. Feng, H. Jiang, S. Zhong, B. Yin, X. Hu, · 2024
Closest in time.
Gptscore: Evaluate as you desire,
J. Fu, S. K. Ng, Z. Jiang, P. Liu, · 2024
Closest in time.
OpenAI, Gpt-4o: Advancing cost-efficient intelligence, 2024. URL: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/ , accessed: 2024-09-28
2024
Closest in time.
A. Yang, B. Yang, B. Hui, B. Zheng, B. Yu, C. Zhou, C. Li, C. Li, D. Liu, F. Huang, et al., · 2024
Closest in time.
A. Dubey, A. Jauhri, A. Pandey, A. Kadian, A. Al-Dahle, A. Letman, A. Mathur, A. Schelten, A. Yang, A. Fan, et al., · 2024
Closest in time.
Don’t take it literally: An edit-invariant sequence loss for text generation,
G. Liu, Z. Yang, T. Tao, X. Liang, J. Bao, Z. Li, X. He, S. Cui, Z. Hu, · 2078
Closest in time.