Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . โ๏ธ ๐ ๐โโ๏ธ๐งโโ๏ธ๐ณ
Akari Asai
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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.
๐ forbes.com/30-under-30/...
More updates soonโฆ ๐
Sad to miss #ICLR2025 this year, but my amazing co-authors will be there in person to present Pangea!
neulab.github.io/Pangea/
Iโll be at the Foundation Models for Science conference at Simons Foundation, NYC next week, then heading to NAACL (more details soon).
Letโs catch up if youโre around!โจ
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!!
31% of US adults use generative AI for healthcare ๐คฏBut most AI systems answer questions assertivelyโeven when they donโt have the necessary context. Introducing #MediQ a framework that enables LLMs to recognize uncertainty๐คand ask the right questionsโwhen info is missing: ๐งต
CopyBench (EMNLP 2024, led by @tomchen0112.bsky.social)
Oral at regulatableml.github.io & Poster at redteaming-gen-ai.github.io
tldr: We benchmarked LLMs' literal/non-literal copying of copyrighted contentโrisks found even in 8B models.
Detais: www.arxiv.org/abs/2407.07087
MassiveDS (led by @rulinshao.bsky.social) Wednesday Poster at 11-2 pm at West Ballroom#7203
TLDR: We demonstrated scaling retrieval corpora of Retrieval-Augmented LMs to 1.4T helps & achieves more compute-optimal scaling
Details: retrievalscaling.github.io
Excited to attend #NeurIPS2024 in person! Iโll be presenting MassiveDS and CopyBench. Details below ๐งต๐
Letโs catch up and chat about:
- LLMs & Retrieval-Augmented/Augmented LMs
- LLM Applications for science (e.g., OpenScholar) & others
- Ph.D./faculty apps
...and more!
