⏳ Less than one week until our CFP closes!
Working on model populations, weights, gradients, representations, or training trajectories? We'd love to see your work at our #NeurIPS2026 workshop on neural network artifacts.
🗓 Deadline: Sept 1 AoE
https://t.co/pb0siBkuYj
@nsaphra's work on training dynamics & interpretability aligns closely with our themes. Check out one of her recent papers:
https://t.co/4RMAoXR9JV
We don’t always know what problems are hard for LLMs. So devs evaluate on tasks HUMANS find hard or on broad benchmarks. What if we could instead anticipate which scenarios a model will fail on—all without evaluating specific input examples?
🧵NEW PAPER by @jenniferlumeng &al
Excited to announce Naomi Saphra (Assistant Professor @BU_Tweets) as an invited speaker for the NeurIPS 2026 Workshop on Neural Network Artifacts as a New Data Modality!
🗓️ CFP deadline: Sept 1, 2026 — submit via OpenReview!
📄 CFP: https://t.co/pk1DYOE5nc
If you are working in anything related to neural network artifacts and model populations I highly recommend submitting to this NeurIPS workshop that takes place in Paris 🔥
📣 CFP: Neural Network Artifacts Are Data Too!
We welcome extended abstracts & full papers on model populations, weights, gradients, representations & training dynamics for our #NeurIPS2026 workshop.
Join us in Paris!
🗓 Sept 1 AoE
🔗 https://t.co/pb0siBkuYj
So excited about our NNArtifacts #NeurIPS workshop! If you've ever wondered what a population of weights, gradients, or representations can tell you, submit 👇
Are you thinking about weights, representations, traces (and other artifacts) as things we can learn from? Have we got the workshop for you!
🎉🎉🎉 Excited to co-organize this @NeurIPSConf workshop on Neural Network Artifacts as A New Data Modality. Ping us for more details ;)
Neural Network Artifacts Are Data Too!
📣Join us for our 2026 @neuripsConf workshop on how to learn from populations of weights, gradients, representations, training trajectories & more.
🗓️ Deadline: Sept 1st AoE
🔗 https://t.co/yzsOM6qXgl