Author

Sepanta Zeighami

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Preprint Aug 2026

Who's Keeping Score? Interactive Steering of LLM-Powered Scoring with Attune

Attune is presented, a mixed-initiative system for steerable LLM-powered scoring that performs pairwise comparisons across records to develop a global understanding first, and then resolves these comparisons into consistent score assignments-deriving scoring criteria and rules bottom-up in the process.

Bhavya Chopra, Meng Chen, Rebecca Dang et al. · 0 citations

#small language model Preprint Aug 2026

Bolt-on, Verifiable Provenance for LLM-Powered Data Processing

BLIP is presented, a bolt-on framework for efficiently inferring a small-sized verifiable provenance for any LLM-powered data processing task, with any LLM, and eight strategies, each guaranteed to find a minimal verifiable provenance are introduced.

Yiming Lin, Sepanta Zeighami, Aditya G. Parameswaran · 0 citations