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🤔Enhancing LLM with RLHF is powerful, but ever wondered how to reduce costs and boost efficiency in preference data acquisition? 💰 🚀Introducing Safer-Instruct, a groundbreaking pipeline that complements humans to construct large-scale preference datasets efficiently. 🧵1/5

Excited to get Safer-Instruct accepted to NAACL 2024 🥳! You don’t want to miss it if you want to reduce cost and boost efficiency in preference data acquisition 🚀. Check out our framework and dataset here: maksimstw.github.io/papers/saferin…

Honored to receive the 🏆 𝐛𝐞𝐬𝐭 𝐩𝐚𝐩𝐞𝐫 𝐫𝐮𝐧𝐧𝐞𝐫-𝐮𝐩 at the ICLR SeT LLM workshop! I will be giving a talk on this work on May 11th, 15:30, Schubert 6. Let's talk about AI Safety there! 🔐 Paper: arxiv.org/abs/2402.11725 Event: set-llm.github.io

Excited for #NAACL2024 in Mexico 🇲🇽 next week! Join me on June 19 from 11:00 AM to 12:30 PM in DON ALBERTO 1 for my talk on Safer-Instruct. Let's dive into alignment, synthetic data, and more!

Our work "How Susceptible are Large Language Models to Ideological Manipulation?" was accepted by #EMNLP2024 Main Conference🥳. Huge thanks to my collaborators!

Excited for #EMNLP2024 in Miami 🌴next week! Join me on Nov 12 (Tue) from 16:00 to 17:30 in poster session 4 for this paper. Feel free to reach out!

#EMNLP2024 USC NLP USC Thomas Lord Department of Computer Science

Our benchmark paper "STEER-Bench" was accepted by #EMNLP2025 Main Conference🥳. Huge thanks to my collaborators!