🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

If you are interested in large language models see my paper below on how we can uncover the biases learned by these models. neurips2023-enlsp.github.io/papers/paper_9…

#ISP_AI_Forum 3 Talks from ISP Students this week! Also with snacks and food calendar.pitt.edu/event/isp-ai-f…

Elon Musk is at the Steelers Game in Pittsburgh tonight! 🔥 Hell yeah!!!

🎯 Don’t Miss at #HCOMP2024! “Assessing Educational Quality: Comparative Analysis of Crowdsourced, Expert, and AI-Driven Rubric Applications” by Moore, Bier & Stamper. 📅 Join us at #HCOMP2024 on Thursday, Oct 17! 🔗 humancomputation.com/program.html #AI #EducationQuality

A nice uniformal framework for personalized information access is presented at #recsys2024 by a Netflix team

Great talks from Ujwal Gadiraju CMU Human-Computer Interaction Institute and #ISPPitt ! Find him at #HCOMP2024 this week! HCOMP 2024

Lungomare at sunny Bari during ##recsys2024 coffee break. This building is featured on the conferred projector background.

*Do LLMs learn to reason, or are they just memorizing?*🤔 We investigate LLM memorization in logical reasoning with a local inconsistency-based memorization score and a dynamically generated Knights & Knaves (K&K) puzzle benchmark. 🌐: memkklogic.github.io (1/n)

Memorization is NOT merely detrimental for reasoning tasks - sometimes, it’s surprisingly helpful. I’m really enjoying this project, as we work toward a more rigorous definition and understanding of reasoning and memorization (albeit in a controlled synthetic setting):

If you are interested in memorization vs. generalization, you should definitely check the paper from Google AI They have a comprehensive study on this problem in a very controlled settings! BTW: Yangsibo Huang is hiring SR/Interns. If you are searching for internships, please do

📢Applications are open for the Ai2 Research Internship at the Aristo team! Join Aristo Team at AI2 to do open research on topics like: 🤖 Agentic planning, reasoning, and learning 📖 Learning, representation, and reasoning ⚙️ Model tuning and specialization 📊 Data-driven

Work by PAWSLab and Co

🚀 Really excited to launch #AgentX competition hosted by UC Berkeley RDI UC Berkeley alongside our LLM Agents MOOC series (a global community of 22k+ learners & growing fast). Whether you're building the next disruptive AI startup or pushing the research frontier, AgentX is your

Congrats to Sanya B. Taneja!! Thanks to all your wonderful contributions to #ISP Pitt

Register for AI Conference University of Pittsburgh, College of Business ! 50$ for faculty / staff/ students Lots of #ISPPitt faculty members on the committee! business.pitt.edu/ai-conference-…

AI exposure scores can predict workers' unemployment risk! While individual AI exposure models aren't predictive of job losses, combining them creates a powerful predictive tool. #AIandJobs #FutureOfWork New work with YY Ahn & Esteban Moro