Researchers propose CoAL-RAG, a complexity-aware legal retrieval-augmented generation method that adaptively routes retrieval strategies based on question complexity, improving answer quality and effi…
Hexo Labs released SIA (Self Improving AI), the first open-source framework that co-evolves both an agent's scaffold and its model weights in a single iterative loop. On the LawBench task, SIA achieve…
Researchers from the SIA project have released a self-improving AI framework that enables language-model agents to autonomously update both their operational harness and model weights during inference…
Researchers have developed SIA, a self-improving AI system that updates both its own software scaffolding and internal model weights without human intervention, combining two previously separate appro…