This work proposes a framework that exposes backbone depth V, action expert depth A, and denoising steps $D$ as three jointly configurable compute axes in a VLA, and introduces a KV Cache synthesis mechanism that manages the missing keys and values of the skipped backbone layers, allowing the action expert to exit deep...
Riccardo Andrea Izzo, Rimvydas Rubavicius, Gianluca Bardaro et al.· 0 citations
GPTNT is a benchmark built on the cooperative video game Keep Talking and Nobody Explodes, in which two agents must coordinate to defuse procedurally generated bomb puzzles against a live countdown, to expose how models collaborate versus how they perform alone.
Amit Parekh, Sabrina McCallum, Kareem Al-Hasan et al.· arXiv.org· 0 citations
This paper investigates how knowledge transfers across different dialogue games by finetuning LLM models on games from the clembench suite and finds that some games benefit more from transfer than finetuning, and that the visuospatial family transfers best.
Filippo Momentè, Mir Nafis Sharear Shopnil, Andrea Gregor de Varda et al.· 0 citations
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