Akari Asai
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akariasai.bsky.social
Akari Asai
@akariasai.bsky.social
Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . ☕️ 🐕 🏃‍♀️🧗‍♀️🍳
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
May 16, 2025 at 2:02 PM
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!✨
April 22, 2025 at 12:42 AM
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!!
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 🧵
April 22, 2025 at 12:27 AM
Reposted by Akari Asai
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: 🧵
December 6, 2024 at 10:51 PM
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!
December 8, 2024 at 2:52 AM
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 🧵
December 4, 2024 at 1:26 PM
Reposted by Akari Asai
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
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
November 19, 2024 at 5:00 PM
Reposted by Akari Asai
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 😉
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
November 19, 2024 at 5:01 PM
Reposted by Akari Asai
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!
November 19, 2024 at 10:38 AM
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
November 19, 2024 at 4:30 PM