Is currentlyworking on aprojectinvolving cross-lingual transferlearningHasattended anICMLconferencebeforeHaspublishedresearch onmultilingualLLMsIs optimisticabout thefuture ofhuman-AIcollaborationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel tocreate art ormusicHas collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesHasparticipated ina hackathonfocused on AIor LLMsIs interestedin the ethicalimplicationsof generativeAIHas used agenerative AImodel for anon-academicpurposeHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPIs excitedabout thepotential ofLLMs ineducationCanrecommenda good AI ortech relatedpodcastHas used anLLM tosummarizeresearchpapersCan explain thedifferencebetween causaland maskedlanguagemodelsIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegenerationIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasattended anICMLconferencebeforeHaspublishedresearch onmultilingualLLMsIs optimisticabout thefuture ofhuman-AIcollaborationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel tocreate art ormusicHas collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesHasparticipated ina hackathonfocused on AIor LLMsIs interestedin the ethicalimplicationsof generativeAIHas used agenerative AImodel for anon-academicpurposeHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPIs excitedabout thepotential ofLLMs ineducationCanrecommenda good AI ortech relatedpodcastHas used anLLM tosummarizeresearchpapersCan explain thedifferencebetween causaland maskedlanguagemodelsIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegeneration

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