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Andy Zhou
Intology
712 posts
user avatar
Andy Zhou
Intology
@zhouandy_
Co-Founder @IntologyAI
San Francisco, USA
Joined August 2016
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  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    May 28, 2025
    Announcing the first fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025). Several groups have shown AI-generated work at workshops, but main conference acceptance is a far higher bar. While workshops
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    71K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Jun 19, 2024
    I got an email bringing this paper to my attention that mentioned something was concerning, and the methodology is almost exactly the same as our ICML 2024 work (released Oct 2023), Language Agent Tree Search (arxiv.org/abs/2310.04406), but did not cite us...
    user avatar
    Aran Komatsuzaki
    @arankomatsuzaki
    Jun 12, 2024
    Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B Significantly improves success rates across MATH and Olympiad-level benchmarks arxiv.org/abs/2406.07394
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    arXiv logo
    arxiv.org
    Language Agent Tree Search Unifies Reasoning Acting and Planning...
    While language models (LMs) have shown potential across a range of decision-making tasks, their reliance on simple acting processes limits their broad deployment as autonomous agents. In this...
    42K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Sep 30, 2024
    Excited to announce three papers were accepted to #NeurIPS2024! 🤖 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks (Spotlight) arxiv.org/abs/2401.17263 - Jailbreaking defense based on adversarial training Jailbreaking Large Language Models
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  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    May 28, 2025
    Replying to @zhouandy_
    We’re rolling out Zochi in stages—starting with a limited beta. 1️⃣ First up: a coscientist to help identify directions, generate hypotheses, draft proposals, and design experiments. 2️⃣ Next: end-to-end research automation suite. Learn more here!
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    Zochi Publishes A* Paper
    From intology.ai
    2.4K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    May 28, 2025
    Replying to @zhouandy_
    Zochi’s paper developed a novel tree search algorithm for jaibreaking, scoring in the top 8.2% of all ACL submissions based on meta-review scores.
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    5.2K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Jan 31, 2024
    Thanks @arankomatsuzaki for sharing! Our work formalizes the first defense objective for LLM jailbreaking robustness, and RPO can generate easily deployable suffixes effective on all jailbreaks. It achieves SOTA across models, including GPT-4. With @uiuc_aisecure and @HaohanWang
    user avatar
    Aran Komatsuzaki
    @arankomatsuzaki
    Jan 31, 2024
    Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Significantly improves robustness to held-out jailbreaks, reducing the attack success rate from 84% to 8.66% across 20 jailbreaks arxiv.org/abs/2401.17263
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    7.5K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Oct 9, 2023
    Introducing LATS (Language Agent Tree Search) for LLM problem-solving 🦾! LATS is a general prompting framework that adapts Monte Carlo tree search (from AlphaZero♟️) for LLM agents 🤖
    6.2K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Aug 7, 2025
    Join @intology x @askalphaxiv on 8/8 at 11 am PST to hear @james_y_zou (Stanford) discuss his work on automated scientific research with AI agents! Most recently, The Virtual Lab, which discovered new SARS-CoV-2 nanobodies. 🧑‍🔬🔥
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    The Virtual Lab w/ James Zou · Zoom · Luma
    From luma.com
    3.3K
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Oct 14, 2024
    Releasing our CCS 2024 paper KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data with @uiuc_aisecure and @bbiinnyyuu arxiv.org/abs/2410.08390 I'll be giving a talk on this work tomorrow at the ML for security session at #CCS2024. Happy to meet up!
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  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Jun 4, 2025
    Thanks @SpecterHQ for including @intology as a hot startup! 💪
    user avatar
    Specter
    @SpecterHQ
    Jun 4, 2025
    🔥 Hottest Startups of May 2025 Each month, we use the 'Hot Signals' feature within @SpecterHQ to highlight the companies and talent attracting the most interest from VC firms.
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  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Aug 1, 2024
    Excited to release this work on AI policy! We map out company/government policies into a taxonomy with 314 potentially harmful categories
    user avatar
    Yi Zeng 曾祎
    @EasonZeng623
    Jul 31, 2024
    🧵[1/5] Introducing AIR 2024: Unifying AI risk categorizations with a shared language to improve AI safety. W/ @kevin_klyman @andyz245 @YUYANG_UCLA @MinzhouP & guidance from @ruoxijia @dawnsongtweets @percyliang @uiuc_aisecure for kicking off my AI policy research journey 🏦.
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    arXiv logo
    arxiv.org
    AI Risk Categorization Decoded (AIR 2024): From Government...
    We present a comprehensive AI risk taxonomy derived from eight government policies from the European Union, United States, and China and 16 company policies worldwide, making a significant step...
    434
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    May 2, 2024
    Pleased to announce Language Agent Tree Search was accepted to #ICML2024 !! We propose a general search algorithm for LM agents that effectively navigates the prompt space for agent tasks Check it out here arxiv.org/abs/2310.04406 Great @langchain implementation here
    user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Oct 9, 2023
    Introducing LATS (Language Agent Tree Search) for LLM problem-solving 🦾! LATS is a general prompting framework that adapts Monte Carlo tree search (from AlphaZero♟️) for LLM agents 🤖
    arXiv logo
    arxiv.org
    Language Agent Tree Search Unifies Reasoning Acting and Planning...
    While language models (LMs) have shown potential across a range of decision-making tasks, their reliance on simple acting processes limits their broad deployment as autonomous agents. In this...
    652
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    Dec 9, 2023
    I will present our paper on distilling out-of-distribution robustness from foundation models (arxiv.org/abs/2311.01441)! Come chat on Thursday at #809
    user avatar
    iSchool at Illinois
    @iSchoolUI
    Dec 8, 2023
    #iSchoolUI faculty, staff, and students will present their research at the 37th Conference on Neural Information Processing Systems (#NeurIPS2023) next week in New Orleans, LA. More details on their participation can be found here: bit.ly/41bdVYg
    Background: Skyline of New Orleans, Louisiana. Logo of Neural Information Processing Systems centered.
    arXiv logo
    arxiv.org
    Distilling Out-of-Distribution Robustness from Vision-Language...
    We propose a conceptually simple and lightweight framework for improving the robustness of vision models through the combination of knowledge distillation and data augmentation. We address the...
    283
  • user avatar
    Andy Zhou
    Intology
    @zhouandy_
    May 28, 2025
    Replying to @VraserX and @GaryMarcus
    curious for your thoughts @GaryMarcus
    115