Phu-Mon Htut

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Phu-Mon Htut

Phu-Mon Htut

@phu_pmh

AI/ML Researcher @Oracle OCI | PhD @NYUDataScience | they/she | 🏳️‍🌈🇲🇲☕️ 💻📚🤖🏞🧗‍♀️ | Opinions my own.

New York, NY Katılım Şubat 2016
935 Takip Edilen916 Takipçiler
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Deli Chen
Deli Chen@victor207755822·
DeepSeek-V3: Dec 26, 2024 DeepSeek-V4: Apr 24, 2026 484 days later, we humbly share our labor of love. As always, we stay true to long-termism and open source for all. AGI belongs to everyone. ❤️🌍 #DeepSeekV4 #AGIforEveryone #OpenSource
DeepSeek@deepseek_ai

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

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Aishwarya Kamath
Aishwarya Kamath@ashkamath20·
We released Gemma 4 last week, and seeing the community's response has been amazing! 🚀 Honored to lead the vision efforts in which we made huge performance leaps from Gemma 3, I wanted to help you make the most of the new capabilities. Deep dive 🧵
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Rheeya Uppaal
Rheeya Uppaal@RUppaal·
How do you check your favourite VLM’s hallucination rate? Ask it questions about an image and verify the final answer - right? Wrong! Reasoning VLMs introduce a second dimension: the reasoning trace itself. If you only evaluate answers, your results can be deeply misleading. 🤔
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Abhilasha Ravichander
Abhilasha Ravichander@lasha_nlp·
It is PhD application season again 🍂 For those looking to do a PhD in AI, these are some useful resources 🤖: 1. Examples of statements of purpose (SOPs) for computer science PhD programs: cs-sop.org [1/4]
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Abhilasha Ravichander
Abhilasha Ravichander@lasha_nlp·
Life update: I’m excited to share that I’ll be starting as faculty at the Max Planck Institute for Software Systems(@mpi_sws_) this Fall!🎉 I’ll be recruiting PhD students in the upcoming cycle, as well as research interns throughout the year: lasharavichander.github.io/contact.html
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Gabriele Sarti
Gabriele Sarti@gsarti_·
Heading to Toronto to attend ACL with the @GroNlp squad! 🍁 Will present: - Inseq, interpretability tool for generative LMs (arxiv.org/abs/2302.13942) - RAMP prompting for ACT (arxiv.org/abs/2305.17131) First ACL, or want to talk about LM interpretability? DMs open! 🤗
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Kyunghyun Cho
Kyunghyun Cho@kchonyc·
oh incorrect but plausible
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Abhilasha Ravichander
Abhilasha Ravichander@lasha_nlp·
Exciting personal update!! I am thrilled to share that I defended my PhD #PHDone 🎉 Next steps: Young Investigator/Postdoc @allen_ai. I’m super excited to work with @YejinChoinka and the @ai2_mosaic team, as well as to join the vibrant NLP community in Seattle 🗻✨🧋☕️
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Najoung Kim 🫠
Najoung Kim 🫠@najoungkim·
🦷 Another preprint 🦷 Information-seeking Qs often contain questionable assumptions that models should be robust to. "When did Marie Curie discover Uranium?" is an example. We propose (QA)^2, a test set evaluating the capacity to handle such Qs. (1/n) arxiv.org/abs/2212.10003
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