2/17/26: Approximately Aligned Decoding with Daniel Melcer

from Boston Computation Club · host Max von Hippel

Daniel Melcer is a PhD student at Northeastern University, where he researches formal methods, reinforcement learning, and large language models, among other things. Daniel also has the most colorful hair in the business (bright red for this talk, other colors for other occasions). Today he joined us to talk about some really exciting work he completed at Amazon, and to expand on his general vision of where constrained inference problems are heading in the future.

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This episode was published on February 18, 2026.

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