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Long-context reasoning and non-verifiable rewards in AI research
Two posts describe separate work on language-model architecture and synthetic data generation.
TLDR
One post says a researcher is working on long-context reasoning and architectural improvements for language models. Another describes a second researcher’s work on synthetic data generation and understanding non-verifiable rewards in reinforcement learning.
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