Yi Ding

Congrats!!

🧠 More Thinking, Less Seeing? 👀 Exploring the Balance Between Reasoning and Hallucination in Multimodal Reasoning Models! Currently many multimodal reasoning models while striving for enhanced reasoning capabilities often neglect the issue of visual hallucinations. While…

🚀 Been seeing all those label-free RL papers flooding your feed lately? Don’t miss this awesome repo by @QingyangZh63396: it tracks the developments in label-free RL, from EMPO & TTRL in April to the latest advances! Check it out, and don’t forget to ⭐ github.com/QingyangZhang/…

thanks for sharing our work!

Excited to present this at today’s Poster session! Quick update: poster number is 592. Whova event seems to be outdated, but ICLR website has correct info. Check out the project page if you want to read more! Link: patrickpynadath1.github.io/dab/ Time: 10am-12pm, poster number 592

I won’t be attending #ICLR2025 this year, but my amazing students will be presenting several exciting works: 1️⃣ Inference-time safety in VLMs 2️⃣ Controlled decoding via discrete sampling 3️⃣ Gradient genetic algorithms for drug discovery 4️⃣ Single-step diffusion samplers Catch…

I will attend #ICLR2025 this week and share our work on VLM safety, ETA, #530 (Hall 3 + Hall 2B) on April 24th from 10:00 AM to 12:30 PM. Feel free to chat and discussion! See you in Singapore🤩

Excited to see our chapter out! A concise and accessible introduction to Bayes Compute in deep neural networks and deep generative models. Great for statisticians curious about diving in!