If you’re at #COLM2026, checkout our work on cost efficient LLM evaluation! my coworker Michael will be presenting it at poster session 2 tomorrow starting at 4:30. arxiv.org/abs/2604.01418
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Adam Wiemerslage
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Directory member with public evidence across AI research, NLP & language.
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Research Scientist at Kensho
NLP PhD from CU Boulder.
prev: Apple, ETS, Pearson, Army Research Lab.
https://adamits.github.io
What they're sharing
Cost-Efficient Estimation of General Abilities Across Benchmarks arxiv.org
Scaling Latent Reasoning via Looped Language Models arxiv.org
Articles & links
Still I think you are caught up on the way LLMs discretize and reencode yokens. It does not actually see the string, it sees vectors of numbers. Think about e.g. looped language models where the “thinking” happens more explicitly latently arxiv.org/abs/2510.25741
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