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cs.CL2026
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
Nishant Subramani, Palash Goyal, Yiwen Song +4
As language models improve and become increasingly deployed to solve a variety of tasks, trustworthiness becomes essential. Calibration is a good proxy for trust: well-calibrated c…
cs.IR2026
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
Andrew Klearman, Radu Revutchi, Rohin Garg +3
Retrieval quality is the primary bottleneck for accuracy and robustness in retrieval-augmented generation (RAG). Current evaluation relies on heuristically constructed query sets,…