🔥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

🚀 Excited about this new work led by Yang Chen & Vedaant Shah! Demonstrates how efforts such as NLLB that enhance MT in low-resource languages can also benefit zero-shot information extraction. 📖 Read more: arxiv.org/abs/2305.13582 Machine Learning at Georgia Tech

Congratulations to Yang Chen for successfully defending his PhD! Yang has done exciting work advancing both the multilingual and multimodal capabilities of LLMs. Many thanks to his committee: Wei Xu (co-advisor), Ming-Wei Chang, @Hexiang_Hu, kartik goyal

Check out our recent work that aims to protect privacy by helping people make more informed decisions about what they share online. Drop by our poster tomorrow morning at 11am if you are at ACL in Bankok. ACL 2025 arxiv.org/abs/2311.09538

Great news! The ACL 2025 awarded IARPA HIATUS program performers two "Best Social Impact Paper Awards" and an "Outstanding Paper Award." Congratulations to the awardees! Access the winning papers below: aclanthology.org/2024.acl-long.… aclanthology.org/2024.acl-long.… aclanthology.org/2024.acl-short…

Please take a moment to fill out the form below to volunteer as a reviewer or AC for NAACL!

Come see Ethan Mendes talk on the surprising image geolocation capabilities of VLMs today at 2:45 in Flagler (down the escalator on the first floor). #emnlp2024 Machine Learning at Georgia Tech

📢 Working on something exciting for NAACL? 🗓️ Remember the commitment deadline is December 16th! 2025.naacl.org/calls/papers/ #NLProc

Awesome talk yesterday by Jacob Andreas! Interesting to hear how models can make better predictions by asking users the right questions, and update themselves based on implied information. Machine Learning at Georgia Tech

Check out @mohit_rag18's recent work analyzing data annotation costs associated with SFT vs. Preference Fine-Tuning.

🚨 Just Out Can LLMs extract experimental data about themselves from scientific literature to improve understanding of their behavior? We propose a semi-automated approach for large-scale, continuously updatable meta-analysis to uncover intriguing behaviors in frontier LLMs. 🧵

🚨New Paper: Better search for reasoning (e.g., web tasks) usually requires costly💰demos/rewards What if we only self-improve LLMs on state transitions—capturing a classic RL method in natural language? Spoiler: It works (⬆️39% over base model) & enables efficient search!🚀 🧵

Very excited about this new work by Ethan Mendes on self-imprving state value estimation for more efficient search without labels or rewards.

🚨o3-mini vastly outperforms DeepSeek-R1 on an unseen probabilistic reasoning task! Introducing k-anonymity estimation: a novel task to assess privacy risks in sensitive texts Unlike conventional math and logical reasoning, this is difficult for both humans and AI models. 1/7

Want to learn about Llama's pre-training? Mike Lewis will be giving a Keynote at NAACL 2025 in Albuquerque, NM on May 1. 2025.naacl.org NAACL HLT 2025

For people attending NAACL HLT 2025, I created a quick script to generate ics files for all your presentations (or presentations of interest) that you can import into your Google Calendar or other calendar software: gist.github.com/neubig/b16376d…