
Jeffrey (Young-Min) Cho
@jeffrey_ch0
CS PhD Student @ UPenn - NLP/AI
ID: 1694011121840095232
https://jeffreych0.github.io/ 22-08-2023 15:38:33
19 Tweet
56 Followers
154 Following

if you trust Google DeepMind Gemini about itself, it has 1.56 trillion parameters and cost Google $1-2billion (as opposed to GPT-4 which cost OpenAI $500M.) there were more than 100 engineers in the team who worked on Gemini. jailbreak by 한국어 🤣🤣🤣 g.co/bard/share/09c…



We investigated how people interpret the Cantril Ladder, the measure used to claim that Finland is the happiest country in the world in the World Happiness Report. The title is also the take home: "The Cantril Ladder elicits thoughts about power and wealth" (1/7) nature.com/articles/s4159…

🚨 Announcement: DLATK is now available as a colab notebook! github.com/dlatk/dlatk/bl… DLATK is a suite for end-to-end human language analysis, used in 100+ AI/NLP/Psych papers. This was lead by Shashanka Subrahmanya, joint with @sal_giorgi, Adithya V Ganesan, johannes Eichstaedt, and World Well-Being Prj 🧵1/4





🚨 LLMs must grasp implied language to reason about emotions, social cues, etc. Our Google DeepMind paper presents the Implied NLI dataset. Targeting social norms 🌎 and conversational dynamics 💬, we enhance LLM understanding of real-world implication! arxiv.org/abs/2501.07719




Thrilled to share that our work has received the Outstanding Paper Award C3NLP #NAACL2025! 🎉 Huge congratulations to Sunny Rai & Khushi Shelat for leading this collaborative effort, and thanks to Jeffrey (Young-Min) Cho for delivering an amazing talk on behalf of his co-authors! 🙌🏽



🚨COLM 2025 Workshop on AI Agents: Capabilities and Safety Conference on Language Modeling This workshop explores AI agents’ capabilities—including reasoning and planning, interaction and embodiment, and real-world applications—as well as critical safety challenges related to reliability, ethics,


