Surabhi S Nath
@surabhisnath
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Ph.D. student @MPS_cog @MPICybernetics | I dream patterns 👾| Creativity | Complexity | Curiosity | CoCoSci 👩🏻💻
Tübingen, Deutschland
Joined February 2020
🚨📰 *Can your favourite LLMs mimic the human creative process 🤸🧑🎨?*.A short thread 🧵 on our latest work on characterising the creative process in humans 👩 and LLMs 🤖 to be presented at ICCC’24 @iccc_conf .Twitter surely beat me to this 😊.
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RT @ChengleiSi: Are AI scientists already better than human researchers?. We recruited 43 PhD students to spend 3 months executing research….
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RT @Roger_Beaty: LLMs still struggle with creativity. How can we make them more creative?. Train AI on what people actually consider creati….
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RT @akjagadish: 1/ 🚨 Updated preprint:.“Generating Computational Cognitive Models using Large Language Models”. 👥 Co-led by @milenamr7 with….
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RT @scychan_brains: Some years ago, I got trapped in a Massive Trough of Imposter Syndrome. It took more than a year to dig myself out of….
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RT @GoogleLabs: Thrilled to share our latest #LabSession with Grammy winner & Indian film composer Shankar Mahadevan! Shankar brought a wea….
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RT @norijacoby: We are recruiting two postdoctoral scholars for a research project in human collective intelligence and creativity at UC Da….
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Last day to submits abstracts for flash talks at our upcoming workshop 😊.
🚨 Inviting all Curious Agents 🔍👀 to attend our workshop @RLDMDublin2025!!.With amazing speakers from across disciplines, we attempt to arrive at the core principles underlying intrinsic motivations in biological and artificial agents 🎮🧠🤖💪.Website:
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Breaking news 🚨💥🚀.My work is featured in a news magazine!!! 📰🆕. This one is going down in my personal walk of fame 🥹⭐️🏆. Thanks to my amazing mentors Peter Dayan and Claire Stevenson, and to Sophia Jahns for writing this article so well ☺️
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Thank you for featuring my work!.😃🥳🤩. I'm currently investigating more of the process mechanisms adopted by humans (and AI) in divergent thinking!.
🧠🤖 New study led by @surabhisnath reveals striking parallels between human and AI creativity. Both people and LLMs use flexible and persistent strategies — but AI leans into one at a time. Pairing people with complementary LLMs could supercharge co-creation. 👉
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RT @modirshanechi: Looking for a Ph.D. position? 🧪👩🔬 Come and join our super cool group in Munich! 🥳 We have an enjoyable, collaborative,….
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RT @marcel_binz: We are looking for two PhD students at our institute in Munich. Both postions are open-topic, so anything between cogniti….
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RT @SchmidhuberAI: What if AI could write creative stories & insightful #DeepResearch reports like an expert? Our heterogeneous recursive p….
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RT @TomerUllman: neat write-up in Scientific American of our recent paper on how and why children learn to use 'loopholes' . (work lead by….
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RT @MushtaqBilalPhD: Google Scholar is useful, but it's stuck in the past. Ai2 is building a new AI-powered search engine for researchers.….
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RT @Gregory_Boldt: Plugging some research from myself and @JamesKaufman, now officially out in JCB. To peer under the hood of the creative….
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RT @_joelsimon: New research project: Lluminate - an evolutionary algorithm that helps LLMs break free from generating predictable, similar….
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RT @martin_hebart: People talk a lot about objects, but what about the softness of a cushion, the greenness of an emerald, or the viscosity….
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RT @KordingLab: After many papers, finally wrote out why I believe the brain to do gradient descent as a blog post:
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