
Semantic Scholar Research @ AI2
@ai2_s2research
Research team @allen_ai working on AI, HCI, ML, NLP, accessibility, and comp. social science in support of @SemanticScholar's mission of accelerating science.
ID: 1545541630497009664
http://research.semanticscholar.org 08-07-2022 22:55:53
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Started my internship in Semantic Scholar at Ai2 this summer (four weeks flew by 😂)! It has been a super exciting time working with Pao Siangliulue, Joseph Chee Chang, Jonathan Bragg, and Matt! Excited to see where our work goes with these amazing people!😀



here at #ACL2023! excited to share: 🥐paper by Catherine Chen evaluating layout-infused models on unseen visuospatial document layouts ☕️ongoing work on open source LLMs at Ai2 🍅ongoing work at #hci #nlproc intersection at Semantic Scholar Research @ AI2 🧀bluesky codes dms open

I’ll be presenting this work at a virtual poster session from 11-12:30 ET today, and also at RepL4NLP and SustaiNLP on Thursday! I’ll be at #ACL2023 all week, come say hi! With @ZejiangS Dan Klein Gabriel Stanovsky Doug Downey Kyle Lo

Are you attending #ACL2023 and interested in cultural analytics? Joins us on Tuesday for a group conversation! We'll meet during the afternoon coffee hour at 3:45pm on the Lakeview Terrace. Matthew Wilkens (@[email protected]) David Bamman Lucy Li @jmendelsohn2


Great article in Nature today highlighting the promise of AI-powered tools for helping scientific researchers! (of course, they mentioned Semantic Scholar )

A primary goal of our OLMo LLM project is to transparently release the artifacts & processes we are using. Today, we're releasing AI2 Dolma, a pertaining dataset of 3T tokens from a diverse mix of web content, academic publications, code, books, and more. blog.allenai.org/dolma-3-trilli…

Announcing Dolma, the dataset for Ai2's LLM, OLMo. It's 3+ trillion tokens (web/papers/code/books/wiki). We hope it will facilitate study of LLMs & their behavior! Released on Hugging Face w ImpACT license huggingface.co/datasets/allen… Overview/datasheet blog.allenai.org/dolma-3-trilli…


Interested in a better way to explore #VLDB2023 papers? Try exp-sum.apps.allenai.org for an LLM-powered way to probe those papers… * Ask questions w/ a single click * Explore answer provenance using the ending “ * Dive deep w/ recursive questions Powered by Semantic Scholar

🚨 Awesome new demo from the Semantic Scholar Research @ AI2 team! Explore #VLDB2023 paper abstracts using LLM-powered features with "Expandable Abstracts": exp-sum.apps.allenai.org


When reading an abstract sometime you just want to learn a bit more about the work: What's this "novel design" they proposed? How was the "better accuracy" measured? Try our LLM-powered expandable & explorable summary from Semantic Scholar Research @ AI2 Raymond Fok exp-sum.apps.allenai.org (1/n)



New work from me, Aakanksha Naik, Lucy Lu Wang, Irene Chen, and Carla S. Alvarado. We focused on a specific topic — maternal health — to create a set of guiding principles, with grounded advice and questions, for the use of NLP for healthcare applications and research.

