Recently, various MBD methods have been developed, each focusing on different models. Evidence suggests that compiling MBD to MaxSAT offers significant performance improvements over earlier approaches ...
[7 Jan 2023] ROIC-DM: Robust Text Inference and Classification via Diffusion Model ...
Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...
As a tech journalist for the past 20 years, I’ve had a front-row seat to the slow death of the English language, driven by the engineers and marketers of Silicon Valley who use clunky abbreviations, ...
We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...
The influence of dopamine on learning, memory and cognition is manifold and multifaceted. Its role in reward-related behavior and behavioral affect is well-documented, as is its role in promoting ...
Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...
The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...
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