Honored to be named to the Forbes 30 Under 30 Asia 2025 in Science! Grateful for the recognition of my Ph.D. work on Retrieval-Augmented LMs, and excited to keep pushing the boundaries of reliable and efficient language models. 🔗 forbes.com/30-under-30/... More updates soon… 👀

Forbes 30 Under 30 2025: Healthcare & Science

Discovering new worlds, in our cells and outer space.

forbes.com

Sad to miss #ICLR2025 this year, but my amazing co-authors will be there in person to present Pangea! neulab.github.io/Pangea/ I’ll be at the Foundation Models for Science conference at Simons Foundation, NYC next week, then heading to NAACL (more details soon). Let’s catch up if you’re around!✨

Real user queries often look different from the clean, concise ones in academic benchmarks - ambiguity, full of typos, and much less readable. We show that even strong RAG systems quickly break under these conditions. Awesome project led by @neelbhandari.bsky.social and @tianyucao.bsky.social!!

Neel Bhandari@neelbhandari.bsky.social · last yr.

1/🚨 𝗡𝗲𝘄 𝗽𝗮𝗽𝗲𝗿 𝗮𝗹𝗲𝗿𝘁 🚨 RAG systems excel on academic benchmarks - but are they robust to variations in linguistic style? We find RAG systems are brittle. Small shifts in phrasing trigger cascading errors, driven by the complexity of the RAG pipeline 🧵

31% of US adults use generative AI for healthcare 🤯But most AI systems answer questions assertively—even when they don’t have the necessary context. Introducing #MediQ a framework that enables LLMs to recognize uncertainty🤔and ask the right questions❓when info is missing: 🧵

Excited to attend #NeurIPS2024 in person! I’ll be presenting MassiveDS and CopyBench. Details below 🧵👇 Let’s catch up and chat about: - LLMs & Retrieval-Augmented/Augmented LMs - LLM Applications for science (e.g., OpenScholar) & others - Ph.D./faculty apps ...and more!

I’m on the academic job market this year! I’m completing my @uwcse.bsky.social @uwnlp.bsky.social Ph.D. (2025), focusing on overcoming LLM limitations like hallucinations, by building new LMs. My Ph.D. work focuses on Retrieval-Augmented LMs to create more reliable AI systems 🧵

congrats @akariasai.bsky.social: 🔬 retrieval augmented LM for science literature 🧬 open data, weights, index, code, etc ⚗️ new eval suite for science literature tasks 🔭 demo to play w the model encourage checking out to see what scientific LMs can/cant do today w open research artifacts

Akari Asai@akariasai.bsky.social · 2y ago

1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp.bsky.social & Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! openscholar.allen.ai

Super exciting RAG prototype @akariasai.bsky.social build on top of Semantic Scholar! I love how it returns competent research answers for seemingly out CS domain questions, eg “what’s a bell?” openscholar.allen.ai/query/69cf13... it’s good in domain too 😉

Akari Asai@akariasai.bsky.social · 2y ago

1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp.bsky.social & Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! openscholar.allen.ai

I'm recruiting 1-2 PhD students to work with me at the University of Colorado Boulder! Looking for creative students with interests in #NLP and #CulturalAnalytics. Boulder is a lovely college town 30 minutes from Denver and 1 hour from Rocky Mountain National Park 😎 Apply by December 15th!

1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp.bsky.social & Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! openscholar.allen.ai