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This paper asks a simple question: when a large language model answers, when is it routing the question to the right internal pathway and wh
This paper proposes an “artificial id” — a small, adaptive internal drive that helps an AI decide whether to keep doing something, stop, or
Biologists often cannot test every possible genetic perturbation in the lab. CRISPR screens ask which genes or edits change a cell’s behavio
Speech large language models (SpeechLLMs) work directly from audio. They are faster than systems that first convert speech to text and they
Robots navigating messy indoor spaces need more than a 2D map. This paper introduces TANGO, a system that lets a humanoid robot follow natur
This paper checks whether the factors that large language models (LLMs) list as the top three reasons for a decision really line up with wha
Language models that act as judges now decide what training data to keep, score generated answers, and rank systems on leaderboards. These j
The paper asks a simple but important question: when a language model gives a probability for an event, do its probabilities hang together i
This paper describes a focused post‑training process that made language models much stronger at competitive programming. Competitive program
Researchers propose a simple economic framework for designing rules and rewards when AI systems have unknown goals and unknown abilities. Th