Yue Huang
@HowieH36226
First-year PhD@Notre Dame, intern at @IBMResearch, previous research intern at @thukeg @Tsinghua_Uni
🏆 Best Paper Award at DIG-BUG@ICML 2025! 📢📢Thrilled to share that our work "Preference Leakage: A Contamination Problem in LLM-as-a-Judge (arxiv.org/abs/2502.01534)" has received the Best Paper Award at the #ICML2025 Workshop on Data in Generative Models (DIG-BUG)! This is my…
Check out this comprehensive report on the trustworthiness of generative foundation models (including LLMs, vision-language models, text-to-image models), led by the amazing @HowieH36226, which presents: 1. A standardized set of guidelines after analyzing global AI governance…
Toward Trustworthy Generative Foundation Models (GenFMs) 🚀 🎇After six months of hard work and thanks to the efforts of the entire team, our report on the trustworthiness of generative foundation models (GenFMs) has finally been released. 💡In this work, we: -Developed a…
▀▄▀▄▀𝐂𝐚𝐧 𝐖𝐞 𝐓𝐫𝐮𝐥𝐲 𝐓𝐫𝐮𝐬𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈?▄▀▄▀▄ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 (GenFMs) are advancing at an unprecedented pace, but can we trust them in high-stakes applications? Excited to share our latest research, a…
Check out this 231 pages overview paper about trustworthiness of generative foundation models led by the amazing Yue Huang @HowieH36226 arxiv.org/pdf/2502.14296
Call for #LLM researchers! We're conducting a survey on the average costs of LLM research. We'd love your input! Share the actual expenses of your LLM projects (e.g., GPU, API, storage). 📋 Survey link: forms.gle/Wo86gggiHUCoLS… 💰 Perks: $20 Amazon gift card for each survey!
HonestLLM has been accepted by NeurIPS 2024. Welcome to check out! 😍
🌟 Exciting Research in LLMs! 🌟 1/ Our latest paper is now available! Discover how we're pushing the boundaries of AI to prioritize both honesty and helpfulness in LLMs.