Yao Fehlis

According to our database, Yao Fehlis authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production.

Yao Fehlis, Benjamin Bengfort, Zhangzhang Si, Vahid Eyorokon, Prema Roman, Patrick Deziel, Devon Slonaker, Steve Veldman, Ben Johnson, Joyce Rigelo, Michael Wharton, Steve Kramer

CoRR, May, 2026

2025

Training-Free Active Learning Framework in Materials Science with Large Language Models.

Hongchen Wang, Rafael Espinosa Castañeda, Jay Werber, Yao Fehlis, Edward Kim, Jason Hattrick-Simpers

CoRR, November, 2025

When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem.

Ashley S. Dale, Kangming Li, Brian DeCost, Hao Wan, Yuchen Han, Yao Fehlis, Jason Hattrick-Simpers

CoRR, November, 2025

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation.

Yao Fehlis, Charles Crain, Aidan Jensen, Michael Watson, James Juhasz, Paul Mandel, Betty Liu, Shawn Mahon, Daren Wilson, Nick Lynch-Jonely, Ben Leedom, David Fuller

CoRR, July, 2025

Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs.

Qiuyu Shi, Kangming Li, Yao Fehlis, Daniel Persaud, Robert Black, Jason Hattrick-Simpers

CoRR, July, 2025

Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle.

Yao Fehlis, Charles Crain, Aidan Jensen, Michael Watson, James Juhasz, Paul Mandel, Betty Liu, Shawn Mahon, Daren Wilson, Nick Lynch-Jonely, Ben Leedom, David Fuller

CoRR, July, 2025

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents.

Yao Fehlis

CoRR, May, 2025

Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs.

Yao Fehlis, Paul Mandel, Charles Crain, Betty Liu, David Fuller

CoRR, April, 2025

Epigenetics is all you need: A transformer to decode chromatin structural compartments from the epigenome.

Esteban Dodero-Rojas, Angel Mendieta, Yao Fehlis, Nicholas Mayala, Vinícius G. Contessoto, José N. Onuchic

PLoS Comput. Biol., 2025

2024

Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions.

Hongchen Wang, Kangming Li, Scott Ramsay, Yao Fehlis, Edward Kim, Jason Hattrick-Simpers

CoRR, 2024