Linxi Zhao

I’ll be at #ICML2025 in Vancouver this week. Really looking forward to meeting and learning from everyone! I'll be presenting our spotlight paper at 11am on Wed, July 16, in East Exhibition Hall A-B: "Mitigating Object Hallucination in Large Vision-Language Models via…

Deadline Extended! Submit to the LM4Sci Workshop @COLM_conf 2025 in Montreal 🧠 Large Language Modeling for Scientific Discovery (LM4Sci) 📅 New Deadline: June 30 📢 Notification: July 24 📍 Workshop: Oct 10, 2025 📝 Non-archival short (2–4p) & full (up to 8p) papers welcome!

🚨 Call for Papers: LM4Sci @COLM_conf 2025 🚨 Excited to announce the Large Language Modeling for Scientific Discovery (LM4Sci) workshop at COLM 2025 in Montreal, Canada! Submission Deadline: June 23 Notification: July 24 Workshop: October 10, 2025

🚀Excited to share our latest work: LLMs entangle language and knowledge, making it hard to verify or update facts. We introduce LMLM 🐑🧠 — a new class of models that externalize factual knowledge into a database and learn during pretraining when and how to retrieve facts…

Large Memory Language Models. Kilian Weinberger of @Cornell speaking on LMLMs whose main goal is “separating knowledge from language," at the Simons Institute's workshop on the The Future of Language Models and Transformers. "This is the future of LLMs." simons.berkeley.edu/workshops/futu…

Large Vision Language Models are prone to object hallucinations – how to cost-efficiently address this issue? 🚀 Introducing MARINE: a training-free, API-free framework to tackle object hallucinations. Joint work with an amazing team @linxizhao4 @WeitongZhang and @QuanquanGu!…