Introduces a protocol scoring AI investment advisors on validity under constraints, stability, and agreement with a deterministic baseline, showing agreement often masks invalid actions.
Large reasoning embedding models: Towards next-generation dense retrieval paradigm
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GRC unifies generation, retrieval, and compression in LLMs via meta latent tokens for single-pass execution with modular flexibility.
Interpretability probes on latent reasoning vectors enable training-free interventions that raise LLM reasoning accuracy across scales and tasks.
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Auditing AI Investment Recommendations as Executable Actions
Introduces a protocol scoring AI investment advisors on validity under constraints, stability, and agreement with a deterministic baseline, showing agreement often masks invalid actions.