Has experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHas collaboratedon a researchpaper withsomeone from adifferent continentHasparticipated ina hackathonfocused on AIor LLMsHas used anLLM tosummarizeresearchpapersIs excitedabout thepotential ofLLMs ineducationIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesIs optimisticabout thefuture ofhuman-AIcollaborationIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHaspublishedresearch onmultilingualLLMsIs interestedin the ethicalimplicationsof generativeAIHasattended anICMLconferencebeforeCanrecommenda good AI ortech relatedpodcastHas learneda newlanguage inthe last yearHas traveledinternationallyto attend thisconferenceCan explain thedifferencebetween causaland maskedlanguagemodelsHasexperiencewith fine-tuning a pre-trained LLMHas experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHas collaboratedon a researchpaper withsomeone from adifferent continentHasparticipated ina hackathonfocused on AIor LLMsHas used anLLM tosummarizeresearchpapersIs excitedabout thepotential ofLLMs ineducationIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesIs optimisticabout thefuture ofhuman-AIcollaborationIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHaspublishedresearch onmultilingualLLMsIs interestedin the ethicalimplicationsof generativeAIHasattended anICMLconferencebeforeCanrecommenda good AI ortech relatedpodcastHas learneda newlanguage inthe last yearHas traveledinternationallyto attend thisconferenceCan explain thedifferencebetween causaland maskedlanguagemodelsHasexperiencewith fine-tuning a pre-trained LLM

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has experience with low-resource languages in NLP
  2. Knows at least three programming languages
  3. Has a preferred AI research tool they can recommend
  4. Has collaborated on a research paper with someone from a different continent
  5. Has participated in a hackathon focused on AI or LLMs
  6. Has used an LLM to summarize research papers
  7. Is excited about the potential of LLMs in education
  8. Is familiar with the concept of prompt engineering
  9. Has presented a paper on natural language generation
  10. Has used a generative AI model to create art or music
  11. Has used a generative AI model for a non-academic purpose
  12. Can name three different LLM architectures
  13. Is optimistic about the future of human-AI collaboration
  14. Is currently working on a project involving cross-lingual transfer learning
  15. Has successfully debugged a complex LLM
  16. Has contributed to an open-source AI project
  17. Has published research on multilingual LLMs
  18. Is interested in the ethical implications of generative AI
  19. Has attended an ICML conference before
  20. Can recommend a good AI or tech related podcast
  21. Has learned a new language in the last year
  22. Has traveled internationally to attend this conference
  23. Can explain the difference between causal and masked language models
  24. Has experience with fine-tuning a pre-trained LLM