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Research1 min read
LexAgentHallu is a new benchmark designed to evaluate legal agent hallucinations across multi-step trajectories. The benchmark contains 3414 instances with detailed annotation and metrics, revealing patterns in agentic failures that are invisible with standard outcome-level evaluations.
From arXiv cs.AI
LLMs1 min read
This research traces the evolution of algorithmic outputs, identifying three key mutations – speech as data, speech as engagement, and generative text – and their associated legal and social consequences. It provides a framework for understanding these changes and their impact on freedom of expression and informational privacy.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
From arXiv cs.CL
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
