📢 My team at Meta (including @lipmanya and @RickyTQChen) is hiring a postdoctoral researcher to help us build the next generation of flow, transport, and diffusion models! Please apply here and message me:
metacareers.com/jobs/1459691…
Our team at Google DeepMind is looking for student researcher candidates working on multimodal reasoning! If you are excited about building next generation personalized multimodal agents that interactively reason with human, and would like to pursue it through rigorous hypothesis testing, controlled experiments, and solid engineering, please send an email to yaof@google.com
We look forward to creating the future together with you
✨ Exciting Opportunity at Google DeepMind Tokyo! ✨
We're seeking a brilliant Research Scientist to join our team. Are you passionate about audio and generative models? Apply now and help us push the boundaries of AI!
#Google#DeepMind#Audio#GenerativeModels#Tokyo#Hiring
Our team at @GoogleDeepMind Tokyo is hiring a Research Scientist! We are a team researching audio restoration/separation using audio generative models. Let us conduct research on innovative generative model theory and applied technology in Tokyo!
boards.greenhouse.io/deepmin…
📢✨ 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!!
Excited to share that I'll be joining University of California at Irvine as a CS faculty in '25!🌟
Faculty apps: @_krishna_murthy, @liuzhuang1234 & I share our tips: unnat.github.io/notes/Hidden…
PhD apps: I'm looking for students in vision, robot learning, & AI4Science. Details👇
We’re hiring a PhD student, fully-funded (UK&Overseas) at School of Computer Science, University of Sheffield, UK, starting October 2025!
findaphd.com/phds/project/ad…
📢 I’ll be admitting PhD students to Columbia CS in the heart of NYC 🗽—the most vibrant city in the world! 🌆
If you're passionate about advancing robot learning and envision a future where robots 🤖 are part of our daily lives, apply to join my group: yunzhuli.github.io/
I’m hiring PhD students in computer science at Columbia!
Our lab will tackle core challenges in understanding and controlling neural models that interact with language.
for example,
- methods for LLM control
- discoveries of LLM properties
- pretraining for understanding
📢Excited to share our recent work on Large Multimodal Models: ConvLLaVA. Without the encoding multiple image patches and multiple encoders, we use a hierarchical backbone, ConvNeXt, realizing high resolution understanding.
arxiv.org/pdf/2405.15738
Key ideas:
1. optimizing the representation of ConvNeXt. We find simply updating it is good enough.
2. Training a successive stage for ConvNeXt to further compress the visual tokens.
ConvLLaVA compresses visual features by 64x, compared with 14x of LLaVA-1.5.