Fetching the paper…
Reading the bibliography…
Large generative AI models (GMs) like GPT and DALL-E are trained to generate content for general, wide-ranging purposes.
Political cartoons as rhetorical form: A taxonomy of graphic discourse
Medhurst, M. J. and DeSousa, M. A · 1981
Earlier work this paper cites.
The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other
Pinch, T. J. and Bijker, W. E · 1984
Earlier work this paper cites.
The politics of education: Culture, power, and liberation
Freire, P · 1985
Earlier work this paper cites.
Columbia-suicide severity rating scale (c-ssrs)
Posner, K., Brent, D., Lucas, C., Gould, M., Stanley, B., Brown, G., Fisher, P., Zelazny, J., Burke, A., Oquendo, M., et al · 2008
Earlier work this paper cites.
Suicide and stigma: A review of the literature and personal reflections
Sudak, H., Maxim, K., and Carpenter, M · 2008
Earlier work this paper cites.
Gatekeeper training as a preventative intervention for suicide: a systematic review
Isaac, M., Elias, B., Katz, L. Y., Belik, S.-L., Deane, F. P., Enns, M. W., Sareen, J., and members) 8, S. C. S. P. T. · 2009
Earlier work this paper cites.
Does practice make perfect? a randomized control trial of behavioral rehearsal on suicide prevention gatekeeper skills
Cross, W. F., Seaburn, D., Gibbs, D., Schmeelk-Cone, K., White, A. M., and Caine, E. D · 2011
Earlier work this paper cites.
The impact of experiential exercises on communication and relational skills in a suicide prevention gatekeeper-training program for college resident advisors
Pasco, S., Wallack, C., Sartin, R. M., and Dayton, R · 2012
Earlier work this paper cites.
Motivational interviewing: Building rapport with clients to encourage desirable behavioral and lifestyle changes
Tahan, H. A. and Sminkey, P. V · 2012
Earlier work this paper cites.
Evaluating question, persuade, refer (qpr) suicide prevention training in a college setting
Mitchell, S. L., Kader, M., Darrow, S. A., Haggerty, M. Z., and Keating, N. L · 2013
Earlier work this paper cites.
Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (woebot): a randomized controlled trial
Fitzpatrick, K. K., Darcy, A., and Vierhile, M · 2017
Earlier work this paper cites.
Shhhuicide stories: A crip critical analysis of attempt survivors’ narrations of suicidality
Krebs, E · 2017
Earlier work this paper cites.
Language models are few-shot learners, 2020
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2020
Earlier work this paper cites.
Toward trustworthy ai development: mechanisms for supporting verifiable claims
Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al · 2020
Earlier work this paper cites.
A multi-persona chatbot for hotline counselor training
Demasi, O., Li, Y., and Yu, Z · 2020
Earlier work this paper cites.
The pile: An 800gb dataset of diverse text for language modeling, 2020
Gao, L., Biderman, S., Black, S., Golding, L., Hoppe, T., Foster, C., Phang, J., He, H., Thite, A., Nabeshima, N., Presser, S., and Leahy, C · 2020
Earlier work this paper cites.
Effectiveness of suicide prevention interventions: A systematic review and meta-analysis
Hofstra, E., Van Nieuwenhuizen, C., Bakker, M., Özgül, D., Elfeddali, I., de Jong, S. J., and van der Feltz-Cornelis, C. M · 2020
Earlier work this paper cites.
“i hear you, i feel you”: Encouraging deep self-disclosure through a chatbot
Lee, Y.-C., Yamashita, N., Huang, Y., and Fu, W · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2020
Cited alongside, same era.
Persistent anti-muslim bias in large language models
Abid, A., Farooqi, M., and Zou, J · 2021
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Bender, E. M., Gebru, T., McMillan-Major, A., and Shmitchell, S · 2021
Cited alongside, same era.
Evaluating large language models trained on code
Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. d. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al · 2021
Cited alongside, same era.
A lawyer used chatgpt and now has to answer for its ‘bogus’ citations
Davis, W · 2023
Closest in time.
Assessing language model deployment with risk cards
Derczynski, L., Kirk, H. R., Balachandran, V., Kumar, S., Tsvetkov, Y., Leiser, M., and Mohammad, S · 2023
Closest in time.
Is the world ready for chatgpt therapists?
Graber-Stiehl, I · 2023
Closest in time.
A mental health tech company ran an ai experiment on real users. nothing’s stopping apps from conducting more
Ingram, D · 2023
Closest in time.
Queering the desire to die: Access intimacy as worldmaking for survival
Krebs, E · 2023
Closest in time.
URL https://livethroughthis.org/
Live Through This · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“can i not be suicidal on a sunday?”: Understanding technology-mediated pathways to mental health support
Pendse, S. R., Sharma, A., Vashistha, A., De Choudhury, M., and Kumar, N · 2021
Cited alongside, same era.
Ethical and social risks of harm from language models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al · 2021
Cited alongside, same era.
Automated repair of programs from large language models
Fan, Z., Gao, X., Roychoudhury, A., and Tan, S. H · 2022
Cited alongside, same era.
The robots are coming: Exploring the implications of openai codex on introductory programming
Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A., and Prather, J · 2022
Cited alongside, same era.
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Ganguli, D., Lovitt, L., Kernion, J., Askell, A., Bai, Y., Kadavath, S., Mann, B., Perez, E., Schiefer, N., Ndousse, K., et al · 2022
Cited alongside, same era.
Handling and presenting harmful text in NLP research
Kirk, H., Birhane, A., Vidgen, B., and Derczynski, L · 2022
Cited alongside, same era.
Generating diverse code explanations using the gpt-3 large language model
MacNeil, S., Tran, A., Mogil, D., Bernstein, S., Ross, E., and Huang, Z · 2022
Cited alongside, same era.
Community guidelines
Midjourney · 2023
Closest in time.
Dall·e 2 preview - risks and limitations, apr 2022
OpenAI · 2023
Closest in time.
Usage policies, March 2023b
OpenAI · 2023
Closest in time.
Red-teaming large language models, February 2023
Rajani, N., Lambert, N., and Tunstall, L · 2023
Closest in time.
The anti-drag bills sweeping the u.s. are straight from history’s playbook, Mar 2023
Restrepo, M. L · 2023
Closest in time.
Simulation training in suicide risk assessment and intervention: a systematic review and meta-analysis
Richard, O., Jollant, F., Billon, G., Attoe, C., Vodovar, D., and Piot, M.-A · 2023
Closest in time.
Human-ai collaboration enables more empathic conversations in text-based peer-to-peer mental health support
Sharma, A., Lin, I. W., Miner, A. S., Atkins, D. C., and Althoff, T · 2023
Closest in time.
This instagram account is turning anti-lgbtq+ republicans into drag queens, Apr 2023
Sim, B · 2023
Closest in time.
What is chatgpt?, 2023
Staudacher, N · 2023
Closest in time.
Meet the ‘rupublicans’: Gop lawmakers are reimagined as ai-generated drag queens, Apr 2023
Valle, J · 2023
Closest in time.
Meet the gay minds behind the rupublicans, Apr 2023
Wiggins, C · 2023
Closest in time.