Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: The proliferation of RISC-V platforms and their use in a wide variety of scientific applications, including deep learning scenarios, has dramatically increased the interest to generate ...
A verifiers RLM environment for testing whether adaptive recursive search outperforms brittle manual RAG choreography on long synthetic corpora. Recursive Language Models — process arbitrarily long ...
Recursive Language Models — process arbitrarily long prompts by offloading context into a REPL with symbolic recursion via sub-LLM calls. Based on Zhang, Kraska & Khattab (2025). A verifiers RLM ...
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