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How to get your paper cited?

How to intern? Research internships are great opportunities to do cool research in industrial labs! But it's definitely not easy to complete a solid work in 3 months. Some tips for having a successful internship ... 🧵

How to work with your senior advisor(s)? Many students find it challenging to navigate grad school when working with senior professors as they are often extremely busy and hands-off in research. Check out below for some tips. 🧵

Finally, I can again include tikZ figures in my lectures, talks and papers without wasting the precious time given to me on this earth 😅

New paper on label-efficient supervised finetuning of LLMs. We address the expensive prompt annotation cost by humans/proprietary LLMs, saving as much as 50% on FLAN V2. Paper: arxiv.org/abs/2401.06692 Work led by: Jifan Zhang Yifang Chen Gantavya Bhatt Arnav Das 1/

How will we broaden LLM access beyond the English-speaking world? Stanford HAI Faculty Affiliate Sanmi Koyejo and CS PhD candidate Sang Truong have explored how to create and evaluate performance of LLMs that serve underrepresented languages. stanford.io/3UNZzLS

Author Sang Truong is on alphaXiv this week to answer questions on his latest paper “Crossing Linguistic Horizons”: alphaxiv.org/abs/2403.02715… This paper focuses on expanding LLMs beyond English-speaking communities by introducing the first large-scale open-source Vietnamese

"In A.I. the industry is often focused on the latest model and how it performs, “but in this particular topic [multilingual AI], it’s also reshaping the ecosystem as a whole,”" comments head of C4AI, Sara Hooker in this article by Sara Ruberg for The New York Times. nytimes.com/2024/07/26/tec…

Language models keep improving, but not for everyone. Sang Truong and Sanmi Koyejo are featured in the The New York Times article nytimes.com/2024/07/26/tec…, discussing our collaboration with Unlimited Research Group of AI on language models for Vietnamese and our thoughts on global language gap & interventions

Thread: We are excited to announce the Language Models for Underserved Communities (LM4UC) workshop at #NAACL2025!

Sanmi Koyejo, Sang Truong, and Angelina Wang @ FAccT @angelinawang.bsky.social are excited to present at the National Council on Measurement in Education on Feb 26, 2025 (4–5 PM ET)! We will dive into #algorithmic #fairness with a fresh look at group difference awareness and 1/2

📢 New white paper: Scholars from Stanford HAI, The Asia Foundation, and University of Pretoria map the current landscape of technical approaches to developing LLMs that better perform for and represent low-resource languages. (1/4) ↘️ hai.stanford.edu/policy/mind-th…

🚨 New benchmark alert! 🚨 Can today’s LLMs implement tomorrow’s research ideas? We put them to the test. Introducing #ResearchCodeBench: 212 tasks from 2024–25 ML papers and code, most released after any model’s training cutoff. 🔗 researchcodebench.github.io 🧵

Our new method (ALP) monitors solve rates across RL rollouts and applies inverse difficulty penalties during RL training. Result? Models learn an implicit difficulty estimator—allocating 5x more tokens to hard vs easy problems, cutting overall usage by 50% 🧵👇1/10