Research paper on calibrating confidence/uncertainty estimates in language models across multi-turn interactions. Addresses how LLMs should express certainty as dialogue progresses.
Research
Confidence Should Be Calibrated More Than One Turn Deep
Research shows language models systematically miscalibrate their confidence across multi-turn conversations, failing to account for how uncertainty compounds through dialogue exchanges.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
Tags
research
/// RELATED
ResearchApr 22
Contact Lens Uses Microfluidics to Monitor and Treat Glaucoma
An electronics-free smart contact lens using microfluidics autonomously monitors eye pressure and delivers glaucoma medication, eliminating the 50% patient non-adherence rate that plagues current treatments.
ProductsApr 22
nondescript: a simple embedded programming language
Nondescript is a new embedded scripting language designed for C applications, similar to Lua. It features AppleScript-inspired syntax, list comprehensions, and pluggable memory allocators. The language is distributed...