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Jonas Mueller

9 papers hereh-index 2183 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
  • cs.LG1
same name
  • Jonas Mueller — 1 paper, h 4
  • Jonas Mueller — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedQuantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

7 citations · 10 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking

Anjali Kantharuban, Jonas Mueller

Recent benchmarks rely on user simulators to evaluate AI agents in multi-turn interaction. While existing simulation techniques demonstrate surface fidelity to human style and beha…

cs.CL2026

Real-Time Trustworthiness Scoring for LLM Structured Outputs and Data Extraction

Hui Wen Goh, Jonas Mueller

Structured Outputs from current LLMs exhibit sporadic errors, hindering enterprise AI deployment. We present CONSTRUCT, a real-time uncertainty estimator that scores the trustworth…

cs.CL2024★ 3 cited

Automated Data Curation for Robust Language Model Fine-Tuning

Jiuhai Chen, Jonas Mueller

Large Language Models have become the de facto approach to sequence-to-sequence text generation tasks, but for specialized tasks/domains, a pretrained LLM lacks specific capabiliti…

cs.CL2023★ 7 cited

Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

Jiuhai Chen, Jonas Mueller

We introduce BSDetector, a method for detecting bad and speculative answers from a pretrained Large Language Model by estimating a numeric confidence score for any output it genera…

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