Hadas Orgad @ ICML

301 posts

Hadas Orgad @ ICML

Hadas Orgad @ ICML

@OrgadHadas

Research Fellow @ Kempner Institute, Harvard | Working on AI interpretability, robustness & safety

Katılım Nisan 2019
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
I'm excited to share that I'll be joining @KempnerInst @Harvard as a research fellow this September!
Kempner Institute at Harvard University@KempnerInst

Thrilled to announce the 2025 recipients of #KempnerInstitute Research Fellowships: Elom Amemastro, Ruojin Cai, David Clark, Alexandru Damian, William Dorrell, Mark Goldstein, Richard Hakim, Hadas Orgad, Gizem Ozdil, Gabriel Poesia, & Greta Tuckute! bit.ly/3IpzD5E

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Mor Geva
Mor Geva@megamor2·
Here we go! ✈️ 🇺🇸🇰🇷 If you're attending #ACL2026 and/or #ICML2026 check out recent work from our group with collaborators: 📍Jul 5 14:00-15:30: Matan will present his TACL work "Universal Jailbreak Suffixes Are Strong Attention Hijackers" @matanbt @mahmoods01 arxiv.org/abs/2506.12880 📍Jul 5 16:00-17:30: My student Or will show how matrix factorization can reveal compositional neuron groups and hierarchies in MLPs. @OrShafran arxiv.org/abs/2506.10920 📍Jul 6 9:00-10:30: Tomer will talk about "MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents" @TomerWolfson arxiv.org/abs/2508.11133 📍Jul 7 14:00-15:45: Hadas will present our position: "Interpretability Can Be Actionable" @OrgadHadas arxiv.org/abs/2605.11161 (will also appear at the MI workshop) 📍Jul 8 10:30-12:15: I will be presenting a position work with @_galyo and @ymatias on metacognition as a way to move beyond hallucinations arxiv.org/abs/2605.01428 📍Jul 9 17:00-18:45: Or (after a transpacific flight from ACL) will present MFA: an unsupervised approach to disentangle representations of LLMs at scale using local geometry @OrShafran arxiv.org/abs/2602.02464 (will also appear at the MI workshop)
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
At Seoul for #ICML! We will present our position paper tomorrow on Actionable Interpretability! Come hang out and argue on how (and if) interpretability can be actionable. 📍HALL A #3206, 2:00 PM – 3:45 PM
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Peter Hase
Peter Hase@peterbhase·
Excited to share I'm joining Schmidt Sciences full time as a grantmaker! Now more than ever, we need scientific research on AI systems, not just new system cards. I'll keep an affiliation with StanfordNLP. There's no better way to keep up with research than to do some yourself!
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
We’re extending the Actionable Interpretability workshop @ActInterp submission deadline by 3 days! New deadline: June 24th. Looking forward to your submissions ;) Link in thread
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
📢 We’re looking for reviewers for the Actionable Interpretability workshop @ActInterp! If you’re interested in helping review submitted papers, please sign up here: forms.gle/VpLJpkM6zw3V8b… Your expertise would be greatly appreciated!
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
Submit your work! The 2nd Workshop on 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 will be held at COLM 2026 in San Francisco! Submission Deadline: June 21, 2026 @ActInterp
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EB1A Experts
EB1A Experts@eb1aexperts·
@OrgadHadas Very exciting to see actionable interpretability continuing to gain momentum. Congrats on both the ICML paper and the COLM workshop!
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
Excited that our paper on Actionable Interpretability got accepted to ICML! And just in time -- we also heard that our Actionable Interpretability workshop will be happening again, in COLM! See you in Korea 🇰🇷 and SF🌉 [Arxiv paper link in the comment]
Hadas Orgad @ ICML@OrgadHadas

Our ICML 2025 workshop on Actionable Interpretability drew massive interest. But the same questions kept coming up: What does "actionable" mean? Is it achievable? How? We're ready to answer. 🧵

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Yanai Elazar
Yanai Elazar@yanaiela·
People seem to really freak out about hallucinated citations as the "bad consequence of AI slop" but (1) it's easy to detect (and fix), and (2) it's so insignificant compared to other erroneous/bad/misleading writing AI can make in scientific papers.
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
??? Spotted in SF
Hadas Orgad @ ICML tweet media
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Hadas Orgad @ ICML
Hadas Orgad @ ICML@OrgadHadas·
@DifanJ2000 Do you think that the generalization is related to your feature choice? E.g., did you test generalization on a "vanilla" layer-wise linear probe?
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Difan Jiao
Difan Jiao@DifanJ2000·
2️⃣ Generalizability: SIREN trained at sentence level generalizes for free to (a) unseen reasoning-trace benchmarks and (b) streaming detection: token-by-token harmfulness scoring during generation, with zero token-level supervision.
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Difan Jiao
Difan Jiao@DifanJ2000·
🛡️ Meet SIREN at #ACL2026, our new LLM safeguard model that achieves SOTA performance on safety benchmarks using 250x fewer params and at 5x inference speed.
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