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We often concentrate on focal variables and conspicuous regressors as hypotheses, potentially missing out on unexplored ones. Can automated discovery systems aid in uncovering new dimensions to explore within our data? Excited to be a part of this paper! 🎉 @EconUofU Ai2

Richard Socher This is exciting!! We wrote a position paper on "data-driven discovery" and found fascinating results + critical limitations! It turned out to be arguably harder as it involves understanding data + domain, writing code & evaluating hypotheses. x.com/mbodhisattwa/s…

Incredibly proud of our teamwork, now in ICML Conference! This position starts a series of work on data-driven scientific discovery w generative models. Follow-ups coming soon on benchmarks, systems, & accessibility in science! arxiv.org/abs/2402.13610 #ICML2024 Ai2 Aristo Team at AI2

It has been a fascinating collab - and much more to come. In the long run, this can help tackle some of the most pressing scientific questions facing humanity.

AI-powered scientific discovery? Yes we can! blog.allenai.org/data-driven-di… Ai2

Very inspiring keynote by Peter Clark from Ai2 about #knowledgegraphs and #beliefgraphs for uncovering the mental models of #LLMs #eswc2024

Can LLMs help accelerate the discovery of data-driven scientific hypotheses? 🧬📊 We benchmark this in DiscoveryBench: 264 discovery tasks from 6 scientific domains, from humanities to biology: arxiv.org/pdf/2407.01725… Ai2 Aristo Team at AI2 Harshit Surana UMass Amherst

An incredible resource for the important task of scientific discovery!

To y'all attending #icml24, gearing up to argue what general-purpose generative models/agents can and cannot do for automated scientific discovery. Would love to hear your thoughts and counter-arguments on Wed (7/24) at 1:30, Hall C 4-9 #117. + discuss what's cooking Ai2

Bodhisattwa Majumder Aristo Team at AI2 Ai2 Congrats!! I really enjoy reading this piece :))

Must try on our "DiscoveryBench" benchmark: x.com/mbodhisattwa/s…

The entire approach to education needs to change fast, now that AI is reaching the ability to discover new things (one of the most valuable skills). Whether people like it or not, the structure of education is heavily influenced by exams which test students’ proficiency at

Multiple speakers at Startup School made the same very interesting point. If you start a startup now to do something that barely works with AI, the next models will make it really work.

o1-mini keeps refusing to try to solve the Riemann Hypothesis on my behalf. Model laziness continues to be a major issue sad ;p

New year, new channel — we're on Discord! Come join the conversation: discord.gg/NE5xPufNwu

Can AI really help with literature reviews? 🧐 Meet Ai2 ScholarQA, an experimental solution that allows you to ask questions that require multiple scientific papers to answer. It gives more in-depth, detailed, and contextual answers with table comparisons, expandable sections

What a fantastic paper! We have been thinking in this line for past several months, and this work really pushes the AIxScience forward! Thank you for the easter eggs on DiscoveryBench! 🤩

Announcing OLMo 2 32B: the first fully open model to beat GPT 3.5 & GPT-4o mini on a suite of popular, multi-skill benchmarks. Comparable to best open-weight models, but a fraction of training compute. When you have a good recipe, ✨ magical things happen when you scale it up!

Sad to miss ICLR 2026 this year, but Dhruv Agarwal is going to post the flag for Ai2 presenting DiscoveryBench, a benchmark to assess automated data-driven discovery! Catch up with him to know more about the work we are doing in the automated discovery space! I will be

Very excited for a new #ICML2025 position paper accepted as oral w Bodhisattwa Majumder & Tuhin Chakrabarty! 😎 What are the longitudinal harms of AI development? We use economic theories to highlight AI’s intertemporal impacts on livelihoods & its role in deepening labor-market inequality.