Check out @hibaahsan.bsky.social's paper on spotting (problematic) racial biases in LLMs for healthcare applications 👇

3/ 🏥 A separate team at Northeastern located where certain signals live inside Olmo and made targeted edits that reduced biased clinical predictions. This kind of audit is only possible because Olmo exposes all its components. → buff.ly/HkChr4Q

Chantal (and Vinith) find that you can jailbreak LLMs with syntax! Some examples: cshaib.github.io/syntax_domai...

Now to appear at #EMNLP2025 (Findings). We've added more models and experiments: arxiv.org/abs/2502.13319

Can we distill *circuits* from teacher models into smaller students? 👇

Who is going to be at #COLM2025? I want to draw your attention to a COLM paper by my student @sfeucht.bsky.social that has totally changed the way I think and teach about LLM representations. The work is worth knowing. And you can meet Sheridan at COLM, Oct 7! bsky.app/profile/sfe...

Can we quantify what makes some text read like AI "slop"? We tried 👇

Our new paper asks: what is the goal of “natural language verbalization” interpretability approaches? If a verbalizer is supposed to tell us something about what’s in the target LM and NOT just what’s in the verbalizer LM, how do we actually evaluate that?

Wouldn’t it be great to have questions about LM internals answered in plain English? That’s the promise of verbalization interpretability. Unfortunately, our new paper shows that evaluating these methods is nuanced—and verbalizers might not tell us what we hope they do. 🧵👇1/8

Thrilled to share our research showing how LLM models can be influenced by bias from "spun" medical literature is now featured in Northeastern's Khoury news! This shows critical insights as AI enters healthcare. The full paper can be found at arxiv.org/abs/2502.07963

This Friday NEMI 2025 is at Northeastern in Boston, 8 talks, 24 roundtables, 90 posters; 200+ attendees. Thanks to goodfire.ai/ for sponsoring! nemiconf.github.io/summer25/ If you can't make it in person, the livestream will be here: www.youtube.com/live/4BJBis...

📢 How factual are LLMs in healthcare? We’re excited to release FactEHR — a new benchmark to evaluate factuality in clinical notes. As generative AI enters the clinic, we need rigorous, source-grounded tools to measure what these models get right — and what they don’t. 🏥 🤖

Chatted with @byron.bsky.social at icml about my recent work, so look out for his upcoming "Tokenization is More Than More Than Compression".

Are we fact-checking medical claims the right way? 🩺🤔 Probably not. In our study, even experts struggled to verify Reddit health claims using end-to-end systems. We show why—and argue fact-checking should be a dialogue, with patients in the loop arxiv.org/abs/2506.20876 🧵1/

[📄] Are LLMs mindless token-shifters, or do they build meaningful representations of language? We study how LLMs copy text in-context, and physically separate out two types of induction heads: token heads, which copy literal tokens, and concept heads, which copy word meanings.

I'm searching for some comp/ling experts to provide a precise definition of “slop” as it refers to text (see: corp.oup.com/word-of-the-...) I put together a google form that should take no longer than 10 minutes to complete: forms.gle/oWxsCScW3dJU... If you can help, I'd appreciate your input! 🙏

🌟Job ad🌟 We (@gregdnlp.bsky.social, @mattlease.bsky.social and I) are hiring a postdoc fellow within the CosmicAI Institute, to do galactic work with LLMs and generative AI! If you would like to push the frontiers of foundation models to help solve myths of the universe, please apply!

LLMs are known to perpetuate social biases in clinical tasks. Can we locate and intervene upon LLM activations that encode patient demographics like gender and race? 🧵 Work w/ @arnabsensharma.bsky.social, @silvioamir.bsky.social, @davidbau.bsky.social, @byron.bsky.social arxiv.org/abs/2502.13319

🚨 Do LLMs fall for spin in medical literature? 🤔 In our new preprint, we find that LLMs are susceptible to biased reporting of clinical treatment benefits in abstracts—more so than human experts. 📄🔍 [1/7] Full Paper: arxiv.org/abs/2502.07963 🧵👇

📢 Can we trace a small distilled model back to its teacher? 🤔New work (w/ @chantalsh.bsky.social, @silvioamir.bsky.social & @byron.bsky.social) finds some footprints left by LLMs in distillation! [1/6] 🔗 Full paper: arxiv.org/abs/2502.06659

DeepSeek R1 shows how important it is to be studying the internals of reasoning models. Try our code: Here @canrager.bsky.social shows a method for auditing AI bias by probing the internal monologue. dsthoughts.baulab.info I'd be interested in your thoughts.

📣 🌍 We're hiring for 2 Machine Learning researchers to join SOLACE-AI @kingscollegelondon.bsky.social , funded by @wellcometrust.bsky.social . This is your chance to develop cutting-edge AI to directly impact global health responses to climate emergencies. jobs.ac.uk/job/DLM377

OLMo 2 is out 🥳 7B and 13B trained on 5T tokens, and meticulousy instruction tuned using Tulu 3 recipe. Simply the best fully open models yet. Really proud of the work & the amazing team at @ai2.bsky.social

I'll be @ #EMNLP2024 if anyone wants to find snobby coffee / despair about election / or I guess talk research. Some work to be presented👇

Our work on reducing diagnostic errors with interpretable risk prediction is now on arXiv! We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6) arxiv.org/abs/2402.10109 w/ @byron.bsky.social and @jwvdm.bsky.social

To appear #EMNLP2023! Can LMs simplify medical texts in non-English languages? We introduce⚕️MultiCochrane: the *first* multilingual, aligned dataset for this. arxiv.org/abs/2305.12532. Led by Sebastian Joseph, also w/ @byron.bsky.social Wei Xu

Work with Jiuding Sun, Andrew Yuan, and Byron Wallace @byron.bsky.social If you're going to be at EMNLP/CoNLL/BlackboxNLP in Singapore, look for her poster at CoNLL! Koyena's FutureLens preprint, code, and demo are on the project website at future.baulab.info

Can we use LLMs to help disseminate medical information more broadly? @byron.bsky.social, Mike Mackert, Wei Xu and I are hosting an online panel today at the HARC conference at 4:30 EST/3:30 CST on Simplifying Medical Texts with Large Language Models! harcconf.org/agenda-monda...

LLMs contain Function Vectors! Eric Todd has a really interesting new preprint on arxiv functions.baulab.info showing LLMs contain vector representations of functions that compose and apply in diverse contexts. Could be a powerful analysis tool. More in his twitter thread: x.com/ericwtodd/st...

Check out Jered's work combining LLM (zero-shot) extracted features with simple linear models for healthcare data👇 (This *is* where we're doing shameless research self-promo threads now, right?)