Max Lamparth

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Max Lamparth

Max Lamparth

@MLamparth

Research Fellow @SISLaboratory @HooverInst at @Stanford | Focusing on interpretable, safe, and ethical AI/LLM decision-making. Ph.D. from TUM.

Palo Alto, CA Katılım Kasım 2022
708 Takip Edilen729 Takipçiler
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Jared Moore
Jared Moore@jaredlcm·
Disturbing anecdotal reports of "AI psychosis" and negative psychological effects have been emerging in the news. But what actually happens during these lengthy delusional "spirals"? In our preprint, we analyze chat logs from 19 users who experienced severe psychological harm🧵👇
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Diyi Yang
Diyi Yang@Diyi_Yang·
🚨Postdoc opening: We are looking for a postdoc researcher with expertise in NLP, RL, and/or ML to develop AI-powered clinical support tools for mental health counseling in the Global South. Working with @EmmaBrunskill & @Diyi_Yang at Stanford. Apply by April 15, 2026 via tinyurl.com/ai4mentalhealt… 🧵👇
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Max Lamparth
Max Lamparth@MLamparth·
Check out our new paper mitigating unfaithfulness in chain-of-thought reasoning:
SISL@SISLaboratory

Another SISL #ICLR 2026 paper: Current chain-of-thought models often sound persuasive without actually reflecting the reasoning behind the answer, so this work aims to make the reasoning itself carry the information the model needs to be right.

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Max Lamparth
Max Lamparth@MLamparth·
Honored to have contributed to this large endeavor! Thank you Yue Huang @HowieH36226 for leading the team. Check out TrustGen at #ICLR2026
SISL@SISLaboratory

New #ICLR2026 paper with SISL contributions: A new dynamic benchmarking platform for evaluating the trustworthiness of generative AI models, called TrustGen!

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Max Lamparth
Max Lamparth@MLamparth·
Great collaboration with Declan Grabb, MD, Amy Franks, Scott Gershan, MD, DFAPA, Kaitlyn Kunstman, Aaron Lulla, Monika Roots, MD, FAPA, Manu Sharma MD, FAPA, Aryan Shrivastava, Nina Vasan, MD, MBA, Colleen Waickman
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Max Lamparth
Max Lamparth@MLamparth·
MENTAT was created by nine practicing psychiatrists without LLM assistance with expert-annotated questions designed to expose fairness issues that only surface at scale. Check out the paper and code here: openreview.net/forum?id=tSy7O…
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Max Lamparth
Max Lamparth@MLamparth·
New #ICLR2026 paper: Our clinician-created dataset MENTAT for evaluating AI in mental healthcare Unlike exam-style benchmarks, MENTAT captures the real ambiguities psychiatrists face daily across 5 critical tasks: diagnosis, treatment, monitoring, triage & documentation.
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Max Lamparth
Max Lamparth@MLamparth·
An AI coding agent writes a hit piece after having its code contributions rejected... Why do we have to use AI systems for tasks where they just might perform somewhat well but without any safety guarantees or sufficient verification?
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Niloofar
Niloofar@niloofar_mire·
I'm recruiting students for fall 2026 thru @LTIatCMU & @CMU_EPP, in: 1. Privacy & security of LLMs, coding, long horizon & embodied agents (robotics) 2. Tiny local llms 3. AI for scientific reasoning, esp. chemistry 4. Latent reasoning 5. anything YOU are passionate about!
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Max Lamparth
Max Lamparth@MLamparth·
I’m deeply grateful for the opportunity to work at the intersection of AI safety, security, and broader impacts. I’d love to connect if you are interest in any of these topics or if our work overlaps! :)
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Max Lamparth
Max Lamparth@MLamparth·
I will also stay affiliated with the Stanford Center for AI Safety to continue teaching CS120 Introduction to AI Safety in Fall quarters at Stanford and we're excited to host a new course CS132 AI as Technology Accelerator in Spring through the TPA!
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Max Lamparth
Max Lamparth@MLamparth·
New job update! I’m excited to share that I’ve joined the @HooverInst and the Stanford Intelligent Systems Laboratory (@SISLaboratory) in the Stanford University School of Engineering as a Research Fellow, starting September 1st.
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SISL
SISL@SISLaboratory·
1/x Many SISL contributions to this year’s Stanford Center for AI Safety annual meeting. Check them out here (a 🧵) - Automated Red-Teaming Language Models with Adaptive Stress Testing (ASTRA) [github.com/sisl/astra-rl + arxiv.org/abs/2407.09447]
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