To the lighthouse.

Glad to meet friends old and new! Between exciting research chatter and packed conference rooms, take a ride on the water and admire the Toronto skyline🤗 #ACL2023NLP

Philosophy: "Our low-hanging research fruit has been plucked for the last 2000 years, so to make progress you must build a ladder." AI: "And over here we have the fruit gun. It pelts you with low-hanging research fruit every few seconds. Try not to let it distract you."

Zoey Li Zoey Sha Li Manling Li Manling Li Eunsol Choi Eunsol Choi and I are also organizing a workshop at ACL2024 on Towards Knowledgeable Language Models. See everyone in Thailand soon!

Placing my bets on this! Evolution has made humans naturally excel at a variety of “everyday tasks”, leading to us vastly underestimating their difficulty for AI

✈️ Getting ready to board my flight to Singapore #EMNLP2023 Fortunate to have 3 papers accepted on information extraction, instruction tuning, and the outlook of future NLP tasks. I'm also on the industry job market this year, ready to explore options after PhD😎

Very comprehensive survey on the relationship between LLM abilities and code training! We believe that code training is also the secret sauce that enables powerful LLM agents~ Led by awesome students Ke Yang Jiateng Liu 🥳

Just a quick reminder that the deadline is approaching fast! 🔔🔔🔔 We welcome ACL findings papers to be presented and accept non-archival submissions as well! We can't wait to meet you in Thailand 🤗

Glad to be part of this work 🥰 The PIE hierarchy shows that there is still a lot missing from the current evaluation of VLMs beyond accuracy

📢Our 2nd Knowledgeable Foundation Model workshop will be at AAAI 25! Submission Deadline: Dec 1st Thanks to the wonderful organizer team Zoey Sha Li Mor Geva Chi Han Xiaozhi Wang Shangbin Feng @silingao and advising committee Heng Ji Isabelle Augenstein Mohit Bansal !

📢📈 I’m on the 2025 faculty job market! I've been incredibly grateful to work with inspiring advisors, mentors & peers. 💡My research, AI4Scientists🔬, accelerates & democratizes the research lifecycle by: 1️⃣ Few-shot scientific knowledge acquisition 2️⃣ Domain-aware scientific