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cs.CL2026
Stability-Aware Prompt Optimization for Clinical Data Abstraction
Arinbjörn Kolbeinsson, Daniel Timbie, Sajjan Narsinghani +1
Large language models used for clinical abstraction are sensitive to prompt wording, yet most work treats prompts as fixed and studies uncertainty in isolation. We argue these shou…
cs.CL2024
Adversarial Negotiation Dynamics in Generative Language Models
Arinbjörn Kolbeinsson, Benedikt Kolbeinsson
Generative language models are increasingly used for contract drafting and enhancement, creating a scenario where competing parties deploy different language models against each ot…