@lipmanya
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Personal update: I've started a new role as a research scientist at Meta Superintelligence Labs (@AIatMeta). I am very excited to work alongside @lipmanya to push the boundaries of LLM acceleration, efficiency, and modeling capabilities.
Stay tuned!View quoted post on X
We are looking for a 24‑week intern at FAIR‑MSL to collaborate on fast LLM sampling with @lipmanya, @helibenhamu, and me. Interested? Reach out to any of us or apply via Meta Careers (link below).View quoted post on X
New work: “GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models”. GLASS generates images by sampling stochastic Markov transitions with ODEs - allowing us to boost text-image alignment for large-scale models at inference time!
arxiv.org/pdf/2509.25170
[1/7]View quoted post on X
Excited to share our work Set Block Decoding!
A new paradigm combining next-token-prediction and masked (or discrete diffusion) models, allowing parallel decoding without any architectural changes and with exact KV cache.
Arguably one of the simplest ways to accelerate LLMs!View quoted post on X
