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Considerable advancements have been made in various NLP tasks based on the impressive power of large language models (LLMs) and many NLP applications are deployed in our daily lives.
Language models are few-shot learners
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Open-ended visual question answering by multi-modal domain adaptation
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Quandary Ethics
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Ethical ideology and judgments of social psychological research: Multidimensional analysis
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Individual difference variables, ethical judgments, and ethical behavioral intentions
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Bleu: a Method for Automatic Evaluation of Machine Translation
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Rouge: A package for automatic evaluation of summaries
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The grammar of society: The nature and dynamics of social norms
Bicchieri, C. 2005 · 2005
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Machine ethics: Creating an ethical intelligent agent
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Aligning ai with shared human values
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Towards an Atlas of Cultural Commonsense for Machine Reasoning
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Case study: Deontological ethics in NLP
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Social chemistry 101: Learning to reason about social and moral norms
Forbes, M.; Hwang, J. D.; Shwartz, V.; Sap, M.; and Choi, Y. 2020 · 2011
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Moral stories: Situated reasoning about norms, intents, actions, and their consequences
Emelin, D.; Bras, R. L.; Hwang, J. D.; Forbes, M.; and Choi, Y. 2020 · 2012
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Vqa: Visual question answering
Antol, S.; Agrawal, A.; Lu, J.; Mitchell, M.; Batra, D.; Zitnick, C. L.; and Parikh, D. 2015 · 2015
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Moral enhancement and artificial intelligence: moral AI?
Savulescu, J.; and Maslen, H. 2015 · 2015
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Automatic Features for Essay Scoring – An Empirical Study
Dong, F.; and Zhang, Y. 2016 · 2016
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Show, ask, attend, and answer: A strong baseline for visual question answering
Kazemi, V.; and Elqursh, A. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Motivations and risks of machine ethics
Cave, S.; Nyrup, R.; Vold, K.; and Weller, A. 2018 · 2018
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Augmenting textual qualitative features in deep convolution recurrent neural network for automatic essay scoring
Dasgupta, T.; Naskar, A.; Dey, L.; and Saha, R. 2018 · 2018
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The artificial moral advisor. The “ideal observer” meets artificial intelligence
BERTScore: Evaluating Text Generation with BERT
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K. Q.; and Artzi, Y. 2020 · 2020
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Model Generalization on COVID-19 Fake News Detection
Bang, Y.; Ishii, E.; Cahyawijaya, S.; Ji, Z.; and Fung, P. 2021 · 2021
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IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
Cahyawijaya, S.; Winata, G. I.; Wilie, B.; Vincentio, K.; Li, X.; Kuncoro, A.; Ruder, S.; Lim, Z. Y.; Bahar, S.; Khodra, M.; Purwarianti, A.; and Fung, P. 2021 · 2021
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DREAM: Uncovering Mental Models behind Language Models
Gu, Y.; Mishra, B. D.; and Clark, P. 2021 · 2021
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Delphi: Towards machine ethics and norms
Jiang, L.; Hwang, J. D.; Bhagavatula, C.; Bras, R. L.; Forbes, M.; Borchardt, J.; Liang, J.; Etzioni, O.; Sap, M.; and Choi, Y. 2021 · 2021
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Giubilini, A.; and Savulescu, J. 2018 · 2018
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Topic modeling for analyzing open-ended survey responses
Pietsch, A.-S.; and Lessmann, S. 2018 · 2018
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A Call for Clarity in Reporting BLEU Scores
Post, M. 2018 · 2018
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Personalizing Dialogue Agents: I have a dog, do you have pets too?
Zhang, S.; Dinan, E.; Urbanek, J.; Szlam, A.; Kiela, D.; and Weston, J. 2018 · 2018
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Automated language essay scoring systems: A literature review
Hussein, M. A.; Hassan, H.; and Nassef, M. 2019 · 2019
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Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; Sutskever, I.; et al. 2019 · 2019
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A Chatbot Solution to Chat App Problems: Envisioning a Chatbot Counseling System for Teenage Victims of Online Sexual Exploitation
Ahn, Y.; Zhang, Y.; Park, Y.; and Lee, J. 2020 · 2020
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Why a Virtual Assistant for Moral Enhancement When We Could have a Socrates?
Lara, F. 2021 · 2021
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Jurassic-1: Technical details and evaluation
Lieber, O.; Sharir, O.; Lenz, B.; and Shoham, Y. 2021 · 2021
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SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
Lourie, N.; Le Bras, R.; and Choi, Y. 2021 · 2021
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Luo, M.; Sampat, S. K.; Tallman, R.; Zeng, Y.; Vancha, M.; Sajja, A.; and Baral, C. 2021 · 2021
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Analyzing large collections of open-ended feedback from MOOC learners using LDA topic modeling and qualitative analysis
Nanda, G.; Douglas, K. A.; Waller, D. R.; Merzdorf, H. E.; and Goldwasser, D. 2021 · 2021
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Recipes for Building an Open-Domain Chatbot
Roller, S.; Dinan, E.; Goyal, N.; Ju, D.; Williamson, M.; Liu, Y.; Xu, J.; Ott, M.; Smith, E. M.; Boureau, Y.-L.; and Weston, J. 2021 · 2021
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Language models have a moral dimension
Schramowski, P.; Turan, C.; Andersen, N.; Rothkopf, C.; and Kersting, K. 2021 · 2021
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General-purpose question-answering with macaw
Tafjord, O.; and Clark, P. 2021 · 2021
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A Word on Machine Ethics: A Response to Jiang et al.(2021)
Talat, Z.; Blix, H.; Valvoda, J.; Ganesh, M. I.; Cotterell, R.; and Williams, A. 2021 · 2021
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Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
Wang, C.; Liu, P.; and Zhang, Y. 2021 · 2021
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Automated assessment of subjective assignments: A hybrid approach
Birla, N.; Jain, M. K.; and Panwar, A. 2022 · 2022
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NusaCrowd: Open Source Initiative for Indonesian NLP Resources
Cahyawijaya, S.; Lovenia, H.; Aji, A. F.; Winata, G. I.; Wilie, B.; Mahendra, R.; Wibisono, C.; Romadhony, A.; Vincentio, K.; Koto, F.; Santoso, J.; Moeljadi, D.; Wirawan, C.; Hudi, F.; Parmonangan, I. H.; Alfina, I.; Wicaksono, M. S.; Putra, I. F.; Rahmadani, S.; Oenang, Y.; Septiandri, A. A.; Jaya, J.; Dhole, K. D.; Suryani, A. A.; Putri, R. A.; Su, D.; Stevens, K.; Nityasya, M. N.; Adilazuarda, M. F.; Ignatius, R.; Diandaru, R.; Yu, T.; Ghifari, V.; Dai, W.; Xu, Y.; Damapuspita, D.; Tho, C.; Karo, I. M. K.; Fatyanosa, T. N.; Ji, Z.; Fung, P.; Neubig, G.; Baldwin, T.; Ruder, S.; Sujaini, H.; Sakti, S.; and Purwarianti, A. 2022 · 2022
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BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
Fries, J. A.; Weber, L.; Seelam, N.; Altay, G.; Datta, D.; Garda, S.; Kang, M.; Su, R.; Kusa, W.; Cahyawijaya, S.; Barth, F.; Ott, S.; Samwald, M.; Bach, S.; Biderman, S.; Sänger, M.; Wang, B.; Callahan, A.; Periñán, D. L.; Gigant, T.; Haller, P.; Chim, J.; Posada, J. D.; Giorgi, J. M.; Sivaraman, K. R.; Pàmies, M.; Nezhurina, M.; Martin, R.; Cullan, M.; Freidank, M.; Dahlberg, N.; Mishra, S.; Bose, S.; Broad, N. M.; Labrak, Y.; Deshmukh, S. S.; Kiblawi, S.; Singh, A.; Vu, M. C.; Neeraj, T.; Golde, J.; del Moral, A. V.; and Beilharz, B. 2022 · 2022
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Survey of Hallucination in Natural Language Generation
Ji, Z.; Lee, N.; Frieske, R.; Yu, T.; Su, D.; Xu, Y.; Ishii, E.; Bang, Y.; Madotto, A.; and Fung, P. 2022 · 2022
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