Tu Vu (@tuvllms) / X

Tu Vu

1,487 posts

Tu Vu

@tuvllms

Assistant Professor @VT_CS & @Google (part-time). PhD from @UMass_NLP. Google FLAMe/FreshLLMs/Flan-T5 Collection/SPoT #LLMs #NLProc #AI

Virginia, USA

Joined April 2017

Pinned
Tu Vu
@tuvllms
Dec 15, 2025
We are hiring at @Google! 🚀 Looking for student researchers for Summer 2026 who are excited about the next frontier of AI research. If you are into: multi-agent AI systems 🤖 RAG & factuality ✅ prompt optimization ⚡️ self-improving AI agents 🔄 please fill out this form 👇
docs.google.com
Google student researcher (Summer 2026)
We are looking for a PhD student researcher to join a research project next summer at Google in Mountain View, CA. The project will focus on multi-agent systems, RAG and factuality, automatic prompt...
192K
Tu Vu
@tuvllms
Jul 16, 2024
🚨 New @GoogleDeepMind paper 🚨 We trained Foundational Large Autorater Models (FLAMe) on extensive human evaluations, achieving the best RewardBench perf. among generative models trained solely on permissive data, surpassing both GPT-4 & 4o. 📰: arxiv.org/abs/2407.10817 🧵:👇
145K
Tu Vu
@tuvllms
Jan 10, 2025
📢📢 If you're interested in a full-time Research Scientist/Engineer position at @GoogleDeepMind (Mountain View, CA) working on connecting retrieval to Gemini, RAG, generative retrieval, open-book QA, etc., please email me at tuv.llms@gmail.com with your CV and/or website.
45K
Tu Vu
@tuvllms
Mar 26, 2025
🚨 New paper 🚨 Excited to share my first paper w/ my PhD students!! We find that advanced LLM capabilities conferred by instruction or alignment tuning (e.g., SFT, RLHF, DPO, GRPO) can be encoded into model diff vectors (à la task vectors) and transferred across model
48K
Tu Vu
@tuvllms
Oct 6, 2023
🚨 New @GoogleAI paper: 🤖 LLMs are game-changers, but can they help us navigate a constantly changing world? 🤔 As of now, our work shows that LLMs, no matter their size, struggle when it comes to fast-changing knowledge & false premises. 📰: arxiv.org/abs/2310.03214 👇
196K
Tu Vu
@tuvllms
Apr 13, 2022
Enormous LMs like GPT-3 exhibit impressive few-shot performance, but w/ self-training a BERT base sized model can achieve much better results! W/ a new implementation of STraTA, we were able to get ~93% acc on SciTail w/ 8 examples per class! Checkout our recent work @GoogleAI👇
Tu Vu
@tuvllms
Apr 2, 2025
📢 Research internship @Google📢 I am looking for a PhD student researcher to work with me and my colleagues on advanced reasoning and/or RAG factuality this summer @Google Mountain View, CA. We will focus on open-source models and benchmarks, and aim to publish our findings.
37K
Tu Vu
@tuvllms
Dec 5, 2023
📢 🌟PhD Openings🌟: I am recruiting PhD students this cycle at Virginia Tech. If you want to dive into: - in-context learning & tool-use LLMs - instruction tuning - parameter-efficient transfer learning - few-shot learning please apply by Dec 15! 👉tuvllms.github.io
51K
Tu Vu
@tuvllms
Oct 15, 2021
Sharing my internship work @GoogleAI: 1) w/ Soft Prompt Transfer, Prompt Tuning matches or significantly outperforms Model Tuning across model sizes, 2) tasks can help each other via their prompts & task prompts can be used as task embeddings to formalize task similarity. 🧵 1/8
Tu Vu
@tuvllms
Dec 2, 2024
📢✨ I am recruiting 1-2 PhD students at Virginia Tech this cycle. If you are interested in efficient model development (including model merging, parameter-efficient fine-tuning & transfer learning), instruction tuning, advanced reasoning, LLMs-as-judges, etc., please apply!!
62K
Tu Vu
@tuvllms
Jan 8, 2024
📢📢 I am looking for a student researcher to work with me and my colleagues at @GoogleAI Research on instruction-based text embedding representations and evaluation. Please apply (google.com/about/careers/…) and reach out to me (ttvu@google.com) if interested.
64K
Tu Vu
@tuvllms
Feb 21, 2024
Great advice for early-career PhD students from the awesome @mrdrozdov. Really liked the saying: “The typical PhD takes 5-7 years to complete, but if you really focus, ignore your friends and family, work late into the night, and dedicate your whole self to your work then it only
Andrew Drozdov
@mrdrozdov
Feb 21, 2024
🌟 PhD Thesis Defended 🌟 1️⃣ Title: Unlocking Natural Language Generalization through Adaptive Retrieval-based Methods 2️⃣ Joining Databricks as a Research Scientist w. focus on generative retrieval / RAG 3️⃣ New Blog Post: Advice for PhD Students mrdrozdov.github.io/blog/2024/advi…
40K
Tu Vu
@tuvllms
Sep 15, 2021
Excited to announce our #EMNLP2021 paper that shows how to turn a pre-trained language model or even a randomly initialized model into a strong few-shot learner. Paper: arxiv.org/abs/2109.06270 w/ amazing collaborators: @lmthang, @quocleix, @GradySimon, @MohitIyyer 1/9👇
Tu Vu
@tuvllms
Jun 3, 2025
✨ New paper ✨ 🚨 Scaling test-time compute can lead to inverse or flattened scaling!! We introduce SealQA, a new challenge benchmark w/ questions that trigger conflicting, ambiguous, or unhelpful web search results. Key takeaways: ➡️ Frontier LLMs struggle on Seal-0 (SealQA’s
17K