Scholar

Dylan Bouchard

Google Scholar ID: nOoGEjUAAAAJ

Principal Applied Scientist, CVS Health

Responsible AIAI SafetyUncertainty QuantificationHallucination DetectionAI Bias and Fairness

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Citations & Impact

All-time

Citations

51

H-index

4

i10-index

1

Publications

14

Co-authors

0

Contact

No contact links provided.

Publications

9 items

When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

2026

Cited

0

Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents

2026

Cited

0

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification

2026

Cited

0

Is Escalation Worth It? A Decision-Theoretic Characterization of LLM Cascades

2026

Cited

0

Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study

2026

Cited

0

UQLM: A Python Package for Uncertainty Quantification in Large Language Models

2025

Cited

0

Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers

2025

Cited

0

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases

2025

Cited

0

Resume (English only)

Co-authors

0 total

Co-authors: 0 (list not available)