Prahitha Movva @NeurIPS2025

104 posts

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Prahitha Movva @NeurIPS2025

Prahitha Movva @NeurIPS2025

@PrahithaM

MSCS @UMassAmherst, Community Lead @cohere

Sunnyvale, CA Katılım Ağustos 2020
1.4K Takip Edilen134 Takipçiler
Prahitha Movva @NeurIPS2025 retweetledi
Andrei Bursuc
Andrei Bursuc@abursuc·
An unsolicited guide to being a researcher: super instructive slides by @EugeneVinitsky emerge-lab.github.io/papers/an-unso… - different goals of a PhD student - how to be a good collaborator - how to keep up with literature - tracking your ideas & experiments - stress & productivity
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Ian Arawjo
Ian Arawjo@IanArawjo·
Not sure if there's an audience for this... but at least I'm having fun 😅
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Sanmi Koyejo
Sanmi Koyejo@sanmikoyejo·
Semantic duplicates are invisible to small models but can be catastrophic for large ones. We show that this breaks standard scaling laws and measure the effective data pool size to fix them. If you're training at scale on synthetic data, you should read this!
Jessica Chudnovsky@jchudnov

Your deduplication pipeline was built for small models. At scale, it's broken. New preprint: "Scale Dependent Data Duplication" 1/10

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Greg Durrett
Greg Durrett@gregd_nlp·
Check out Manya's benchmark for LLM creativity! Inspired by work on creativity in graphs (@AdtRaghunathan's "roll the dice" paper), CREATE isolates testing of creative insights for discovery. Future: understand how LLMs derive insights & how they can be better creative partners!
Manya Wadhwa@ManyaWadhwa1

⚛️ Introducing CREATE, a benchmark for creative associative reasoning in LLMs. Making novel, meaningful connections is key for scientific & creative works. We objectively measure how well LLMs can do this. 🧵👇

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Emma Brunskill
Emma Brunskill@EmmaBrunskill·
Our paper on using LLMs to support people learning mental health counseling skills received an Honorable Mention at CHI 2026! arxiv.org/abs/2505.02428 Lead by @RyanCLouie (who's on the market!), w/@Diyi_Yang, Raj Shah, Ifdita Hasan Orney, & Juan Pablo Pacheco
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Cohere Labs
Cohere Labs@Cohere_Labs·
Out Reinforcement Learning group is excited to welcome Mansi Maheshwari for a session focused on "Addressing the Plasticity-Stability Dilemma in Reinforcement Learning" next week on Monday, March 16th! Thanks to @rahul_narava and @gustiwinata_ for organizing this session 👏 Learn more: cohere.com/events/cohere-…
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Zhijing Jin
Zhijing Jin@ZhijingJin·
Here is a sharing of career & survival resources that really helped me navigate the research career in #NLProc and #AI: github.com/zhijing-jin/nl… Huge thanks to the researchers & profs who wrote such thoughtful guides for our community 🙏 PRs are very welcome to keep it growing🌱
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Niloofar
Niloofar@niloofar_mire·
I'm looking for students/folks interested in leading a project on privacy-preserving mental health chatbot research, focusing on differentially private pattern extraction and synthetic data generation for AI safety. If you are interested or know someone who would be a good fit, email with subject "Mental Health and DP". Short project description below. Pls share!! PS this is not a recruitment for PhD positions, it's a single project. if you are already at CMU mention that in the title.
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Cohere Labs
Cohere Labs@Cohere_Labs·
Be sure to join us tomorrow, January 30th for a presentation from @Ahsaasb, for a deep dive into "Production-Grade ML in Practice: Evaluation and Design Frameworks for Recommendation Systems Serving Millions." Learn more: cohere.com/events/cohere-…
Cohere Labs@Cohere_Labs

Our ML Industry group is looking forward to hosting @Ahsaasb, Senior ML Engineer at Instacart for a presentation on "Production-Grade ML in Practice: Evaluation and Design Frameworks for Recommendation Systems Serving Millions." Thanks @PrahithaM and @arya_suneesh to organizing this event! 🔥 Learn more: cohere.com/events/cohere-…

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Cohere Labs
Cohere Labs@Cohere_Labs·
Our ML Industry group is looking forward to hosting @Ahsaasb, Senior ML Engineer at Instacart for a presentation on "Production-Grade ML in Practice: Evaluation and Design Frameworks for Recommendation Systems Serving Millions." Thanks @PrahithaM and @arya_suneesh to organizing this event! 🔥 Learn more: cohere.com/events/cohere-…
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Kaitlyn Zhou
Kaitlyn Zhou@KaitlynZhou·
Internship opportunity! Please share! 📣 I'm looking to hire an intern in human-centered NLP for the agents team @togethercompute. Come work on frontier AI systems that tackle complex agentic tasks! Research direction is open and looking to publish in NLP and HCI venues
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Daniel Han
Daniel Han@danielhanchen·
Come join the Reinforcement Learning Mini Conference Wed 14th 9:05-12PM PST at @GPU_MODE! You'll learn about: 1. PPO, GRPO, RLVR & RL maths 2. RL Agents & Environments with OpenEnv 3. Tips & tricks for RL 4. RL for GPU kernels Six speakers from @PyTorch @huggingface @UnslothAI!
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Cohere Labs
Cohere Labs@Cohere_Labs·
Our community-led ML Industry group is excited to host Aditri Bhagirath for insightful presentation that introduces SynthesizeMe, a method for inferring implicit user personas from interaction behavior to enable LLM personalization without explicit identity labels or predefined preference categories. Be sure to tune in on Friday, January 16th! Thanks to @PrahithaM and @arya_suneesh for organizing this event! 👏 Learn more:lnkd.in/gF79UmRk
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@bluecow 🐮
@bluecow 🐮@BLUECOW009·
i wanted to make a group to talk daily research stuff, send papers, talk about AI news, who is interested? react or comment to be added
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Sophia Yang, Ph.D.
Sophia Yang, Ph.D.@sophiamyang·
Exciting Career opportunities for new grads: @MistralAI 's Future AI Global Leaders Program, a one-year program for 30 recent graduates and PhDs who want to bridge the gap between research, engineering and real-world impact. This is a unique opportunity to collaborate closely with our research, product, and engineering teams to build state-of-the-art AI models and solutions for highly complex use cases. More details: ✅ Start date: Spring 2026 ✅ Application deadline: February 1, 2026 ✅ Location: Onboarding in our Paris office, then you'll join your assigned office
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Prahitha Movva @NeurIPS2025
Prahitha Movva @NeurIPS2025@PrahithaM·
Submitted my PhD applications a few days ago and wanted to share some thoughts on the process. I wasn’t sure I was ready, but I’m really glad I applied anyway! The process itself taught me so much - particularly around writing and structuring ideas clearly. Writing my SOP and reaching out to people whose work I found interesting (something that was intimidating earlier) ended up being the most valuable parts of the process. The SOP forced me to put on paper what I care about and why, which really clarified my thinking and gave me a better understanding of my motivations. This is something I want to practice more regularly. Grateful to everyone who read drafts and gave feedback throughout the process. If anyone wants to take a look at my SOP and has suggestions, feel free to comment and I’ll DM you!
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Cohere Labs
Cohere Labs@Cohere_Labs·
In 2025, our Open Science Community Leads showed what’s possible when AI research is built in the open. 38 leads, 17 programs, 125 guest speakers advancing open, collaborative AI across the world (find all talks here! cohere.link/uw1lvQQ). 🤯
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Chuang Gan
Chuang Gan@gan_chuang·
ICLR has placed OpenReview in a difficult position, so I want to offer a few words about the OpenReview team working behind the scenes. OpenReview has long been operated at UMass Amherst as a non-profit organization founded by Andrew McCallum. Each year, Andrew must raise more than $2 million to support a 20-person team that provides essential infrastructure for most major conferences. I once asked Andrew what might have been a naïve question: whether he had considered developing a business model for OpenReview, given its prominence and the seemingly obvious opportunities. He pushed back, explaining that everything he has done for OpenReview is driven by a commitment to serve and strengthen the academic community. He is willing to devote significant personal effort to ensure the platform remains freely accessible to all. We should not blame such a brilliant and dedicated team for an accidental issue. Otherwise, fewer people would be willing to shoulder this kind of responsibility in the future. Deep respect to the OpenReview team! I’m grateful for their work and happy to support in any way!
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