---
title: "Chenxi Whitehouse — papers of 2026 — Elamur Research"
description: "Chenxi Whitehouse — papers of 2026: 1 paper on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/chenxi-whitehouse/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenxi-whitehouse/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Chenxi Whitehouse](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/) / 2026

# Chenxi Whitehouse — papers of 2026 — Elamur Research

1 paper · [all years of Chenxi Whitehouse](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/#years)

**[Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation](https://md.research.elamur.ai/free/en/papers/radharapu-2026-calibrating-llm-judges-linear-probes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.*2026*