papers
Publications (14)
cs.HC2020
The Challenges of Crowd Workers in Rural and Urban America
Claudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan +2
cs.CL2021
A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
Jessica Huynh, Jeffrey Bigham, Maxine Eskenazi
cs.CL2021
Does Pretraining for Summarization Require Knowledge Transfer?
Kundan Krishna, Jeffrey Bigham, Zachary C. Lipton
cs.LG2005
Combining Independent Modules in Lexical Multiple-Choice Problems
Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1
cs.CL2022
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
Jessica Huynh, Ting-Rui Chiang, Jeffrey Bigham +1
cs.HC2019
TurkScanner: Predicting the Hourly Wage of Microtasks
Susumu Saito, Chun-Wei Chiang, Saiph Savage +3
cs.LG2020
Challenging common interpretability assumptions in feature attribution explanations
Jonathan Dinu, Jeffrey Bigham, J. Zico Kolter
cs.LG2025
Apple Intelligence Foundation Language Models: Tech Report 2025
Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395
cs.CV2024
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng, Faria Huq, Yue Jiang +4
cs.AI2026
Apple Intelligence Foundation Language Models
Tom Gunter, Zirui Wang, Chong Wang +152
cs.CV2025
VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety
Shruti Palaskar, Leon Gatys, Mona Abdelrahman +9
cs.HC2020
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers
Saiph Savage, Chun-Wei Chiang, Susumu Saito +2
cs.CY2017
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Kotaro Hara, Abi Adams, Kristy Milland +3
cs.CL2003
Combining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems
Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1